Method of acquiring information, evaluation / correction system and display screen control device

Abstract

Provided are a method for acquiring information and a related device, and an evaluation / correction system. The method comprises: controlling a light point in a target display area of a display screen to be in a lighted state; adjusting a camera parameter of a camera, so that imaging of at least part of the light points in the target display area is in a sticking state; after the camera parameter is adjusted, controlling the camera to capture the target display area to obtain a light point image of the target display area; and acquiring target information according to the light point image, the target information being used for evaluating display quality of the target display area; and / or, the target information being used for correcting the light points in the target display area. The above technical solution can improve the evaluation and / or correction efficiency of the display screen.

Description

Technical Field

[0001] This application relates to the field of display screen technology, and more specifically, to a method and related apparatus for acquiring information, as well as an evaluation / calibration system. Background Technology

[0002] Due to factors such as manufacturing errors or usage time, displays often require evaluation and / or calibration. Before evaluating and / or calibrating a display, it is typically necessary to capture images of the display's LEDs using a camera, and then obtain evaluation and / or calibration information based on these images. However, the evaluation and / or calibration methods provided by related technologies have low pixel utilization of the camera, resulting in low efficiency in the evaluation and / or calibration process. Summary of the Invention

[0003] This application provides a method and related apparatus for acquiring information, as well as an evaluation / calibration system. The various aspects covered by this application are described below.

[0004] In a first aspect, a method for acquiring information is provided, comprising: controlling the lights in a target display area of ​​a display screen to be lit, wherein the target display area is part or all of the display area of ​​the display screen; adjusting the camera parameters of a camera so that the images of at least some of the lights in the target display area are in a fused state; after the camera parameters are adjusted, controlling the camera to take a picture of the target display area to obtain an image of the lights in the target display area; acquiring target information based on the light image, wherein the target information is used to evaluate the display quality of the target display area; and / or, the target information is used to correct the lights in the target display area.

[0005] In a second aspect, an evaluation / calibration system is provided, comprising: a camera for capturing images on the display screen; and an evaluation / calibration device for processing the images captured by the camera to perform the method as described in the first aspect.

[0006] Thirdly, a method for acquiring information is provided, comprising: acquiring a lamp image of a target display area of ​​a display screen, wherein the target display area is part or all of the display area of ​​the display screen, and at least some lamps in the target display area are in a state of adhesion in the lamp image; acquiring target information based on the lamp image, wherein the target information is used to evaluate the display quality of the target display area; and / or, wherein the target information is used to correct the lamps in the target display area.

[0007] Fourthly, an apparatus for acquiring information is provided, comprising a module for performing the method as described in the third aspect.

[0008] Fifthly, an apparatus for acquiring information is provided, comprising: a memory for storing a program; and a processor for executing the program stored in the memory to perform the method as described in the third aspect.

[0009] A sixth aspect provides a computer-readable storage medium having a program stored thereon for performing the method as described in the third aspect.

[0010] A seventh aspect provides a computer program product, including a program for performing the method as described in the third aspect.

[0011] Eighthly, a display screen control device is provided, including a memory for storing correction coefficients, wherein the correction coefficients are obtained based on target information, and the target information is obtained based on the method described in the third aspect; and a processor for calling the correction coefficients stored in the memory to correct the display screen.

[0012] The above technical solution adjusts the camera parameters so that at least some of the light points within the target display area are imaged in a fused state at the camera. Because the light points are imaged in a fused state, the camera can capture a larger display area on the screen at once, thereby improving the efficiency of screen evaluation and / or calibration. Attached Figure Description

[0013] Figure 1 This is a schematic diagram of the structure of an evaluation / calibration system applicable to embodiments of this application.

[0014] Figure 2 This is an example image of a light spot.

[0015] Figure 3A This is an example diagram of a light spot pattern provided by related technologies.

[0016] Figure 3B This is an example diagram of the light dot pattern provided in the embodiments of this application.

[0017] Figure 4A It is the waveform diagram of the light spot corresponding to the light spot image provided by the relevant technology.

[0018] Figure 4B This is a waveform diagram of the light spot corresponding to the light spot image provided in the embodiments of this application.

[0019] Figure 5 This is a flowchart illustrating a method for obtaining information provided in one embodiment of this application.

[0020] Figure 6 yes Figure 5 A flowchart illustrating one possible implementation of step S540 in the above steps.

[0021] Figures 7A-7E This is an example diagram of the calibration image provided in the embodiments of this application.

[0022] Figure 8 yes Figure 5 A flowchart illustrating another possible implementation of step S540 in the above steps.

[0023] Figure 9 yes Figure 8 The diagram shows an example of how the process is implemented.

[0024] Figure 10 yes Figure 8 A flowchart illustrating one possible implementation of step S840 in the above steps.

[0025] Figure 11A It is a schematic diagram of the outline of a distorted light spot image captured by a camera.

[0026] Figure 11B Yes Figure 11A The image showing the correction result after correction.

[0027] Figure 12 This is an example image of the image preview interface provided in the embodiments of this application.

[0028] Figure 13 This is a flowchart illustrating the process of evaluating the brightness uniformity of an LED display screen according to an embodiment of this application.

[0029] Figure 14 This is a flowchart illustrating the brightness correction process for an LED display screen provided in an embodiment of this application.

[0030] Figure 15 This is a flowchart illustrating a method for obtaining information provided in another embodiment of this application.

[0031] Figure 16 This is a schematic diagram of the structure of an information acquisition device provided in one embodiment of this application.

[0032] Figure 17 This is a schematic diagram of the structure of an information acquisition device provided in another embodiment of this application. Detailed Implementation

[0033] This application aims to evaluate and / or calibrate a display screen. This application does not specifically limit the type of display screen. In some embodiments, the display screen can be one of the following: an LCD display screen, an LED display screen, or an OLED display screen. Taking an LED display screen as an example, the LED display screen can be a conventional LED display screen, or it can be a microLED, miniLED, or a new type of LED in the future. Furthermore, in some embodiments, the display screen can be packaged using one of the following packaging methods: for example, SMD, COB, COG, or a new type of packaging in the future.

[0034] This application's embodiments can be used to evaluate / calibrate a portion of the display area of ​​a screen, or to evaluate / calibrate the entire display area of ​​a screen. For ease of understanding, the display area to be evaluated / calibrated will be referred to as the "target display area of ​​the screen" below. It is understood that the target display area is usually a rectangular area. However, this application's embodiments do not exclude the possibility of using a non-rectangular area as the target display area.

[0035] The target display area can contain pixels, and each pixel can include one or more light points (or pixel lamps). Taking an LED display screen as an example, one pixel of an LED display screen can include three light points: red, green, and blue; or, one pixel of an LED display screen can include four light points: red, green, green, and blue. The evaluation / calibration of the target display area can also be understood as the evaluation / calibration of the light points within the target display area (such as the evaluation / calibration of the brightness, chromaticity, etc. of the light points).

[0036] This application does not specifically limit the size of the display screen; it can be a large-sized display screen, such as those used in shopping malls or concerts. The display screen can be composed of many splicing units. These splicing units are sometimes called light boxes (such as LED light boxes). For a display screen with a light box as the basic unit, the display screen mentioned in this application can refer to a display screen corresponding to a single light box, or it can refer to a display screen composed of multiple light boxes spliced ​​together. The display screen mentioned in this application can also be a smaller-sized display screen, such as a light box or light panel. With future developments in displays, smaller-sized displays may contain a larger number of pixels, and the methods provided in this application will also be applicable.

[0037] The term "evaluation" mentioned in the embodiments of this application can be understood as assessment or detection. The embodiments of this application do not specifically limit the content of "evaluation." For example, the uniformity of the target display area can be evaluated. Another example is the evaluation of whether other types of display defects exist in the target display area. Yet another example is the evaluation of the display condition of the target display area, such as measuring color shift in the target display area.

[0038] The term "correction" mentioned in this application embodiment can refer to correcting one or more of the following parameters of the target display area: brightness, chromaticity, etc. Correction can be achieved by adjusting relevant parameters of the target display area to improve the display quality or effect of the screen. For example, the luminous current of the LEDs can be adjusted to maintain uniform brightness or chromaticity of the LEDs in the display screen.

[0039] To facilitate understanding of this application, it will be described in more detail below based on exemplary embodiments and in conjunction with the accompanying drawings. The same or similar reference numerals are used in the drawings to denote the same or similar modules. It should be understood that the drawings are merely illustrative, and the scope of protection of this application is not limited thereto.

[0040] Figure 1 This is a schematic diagram of the structure of an evaluation / calibration system applicable to embodiments of this application. Figure 1 The evaluation / calibration system 10 shown can be used to evaluate and / or calibrate the target display area of ​​the display screen 20. The display screen 20 may or may not be part of the evaluation / calibration system 10.

[0041] like Figure 1 As shown, the evaluation / calibration system 10 may include a camera 12 (or optical acquisition device). The camera 12 can be used to capture images of the target display area of ​​the display screen 20. The type of camera 12 can be selected according to actual needs, such as based on one or more factors including the size of the display screen and the evaluation / calibration accuracy requirements. The camera 12 can be, for example, a high-definition camera, an optical camera, or an industrial camera.

[0042] To evaluate and / or calibrate the target display area of ​​the display screen 20, a camera 12 can be used to capture a light spot image of the target display area. Image processing of the light spot image yields information for evaluating and / or calibrating the target display area. The term "light spot image of the target display area" refers to the image presented when one or more colored light spots within the target display area are illuminated. This light spot image can be a solid color image (or monochrome image). For example, the light spot image of the target display area could refer to the red image presented when some or all of the red light spots within the target display area are illuminated. Similarly, the light spot image of the target display area could refer to the green image presented when some or all of the green light spots within the target display area are illuminated. Likewise, the light spot image of the target display area could refer to the blue image presented when some or all of the blue light spots within the target display area are illuminated. Finally, the light spot image of the target display area could refer to a mixed-color image presented when two or more colored light spots within the target display area are illuminated. For example, the light spot image of the target display area can refer to the mixed color image presented when the red and green light spots in the target display area are lit simultaneously. Alternatively, the light spot image of the target display area can refer to the mixed color image (white image) formed when red, green, and blue light spots are lit simultaneously.

[0043] Camera 12 can capture images of one or more colored lights in the target display area at intervals. For example, the target display area can be controlled to first display the lights in odd-numbered rows and columns, and then camera 12 can capture an image of the lights. Then, the target display area can be controlled to display the lights in even-numbered rows and columns, and then camera 12 can capture another image of the lights.

[0044] Alternatively, camera 12 can also perform non-interval (or point-by-point) acquisition of one or more colored lights within the target display area. For example, it can control all one or more colored lights within the target display area to be lit, and then use camera 12 to acquire an image of the lights in the fully lit state. As a concrete example, Figure 2 The target display area 22 includes multiple pixels 24, and each pixel 24 includes three light points: red, green, and blue. Figure 2 The image shows a red light spot 241, a green light spot 242, and a blue light spot 243. Among the three colors of light spots, the red light spot 241 is lit, forming a light spot image with the red light spot fully lit.

[0045] See again Figure 1In addition to the camera 12, the evaluation / calibration system 10 may also include an evaluation / calibration device 14. The evaluation / calibration device 14 can be used to process the light spot images captured by the camera 12 to obtain target information for evaluating and / or calibrating the target display area.

[0046] The evaluation / calibration device 14 can be implemented in various ways. For example, the evaluation / calibration device 14 can be a computer (such as a desktop or laptop computer) or a mobile terminal (such as a mobile phone or tablet computer). The evaluation / calibration device 14 can be equipped with a software system 142 to perform the processing of light spot images and / or the extraction of target information.

[0047] In some embodiments, the evaluation / calibration device 14 can also perform some or all of the control functions related to the evaluation / calibration system 10. For example, the evaluation / calibration device 14 can be used to control the display screen 20 (this control can be implemented via wired or wireless means). As a specific example, the evaluation / calibration device 14 can send control commands to the display screen 20 to control the light points (such as one of red, green, and blue light points) in the target display area to be lit, thereby forming a light point image. The control function of the display screen 20 can be integrated into the software system 142 installed on the evaluation / calibration device 14.

[0048] The evaluation / calibration device 14 can also be used to control the camera 12 (this control can be achieved via wired or wireless means). For example, the evaluation / calibration device 14 can send parameter adjustment commands to the camera 12 to adjust the camera parameters of the camera 12. As another example, the evaluation / calibration device 14 can send shooting commands to the camera 12 to control the camera 12 to take a picture of the display screen 20. This camera 12 control function can be integrated into the software system 142 installed on the evaluation / calibration device 14.

[0049] As mentioned earlier, the evaluation / calibration device 14 can process the light spot image captured by the camera 12 to obtain target information. This target information may include one or more of the following: information that can be used to evaluate the display quality of the target display area, and information that can be used to calibrate the target display area.

[0050] In some embodiments, the aforementioned "information that can be used to evaluate the display quality of the target display area" may include: optical information (or luminous color information) of the target display area. As an example, this optical information may include one or more of the following: luminous flux information, luminance information, and chromaticity information. Luminous flux information can be used to characterize the luminous flux per unit area within the target display area. Luminance information can be used to characterize the brightness of the target display area. Chromaticity information can be used to characterize the hue and / or saturation of the colors in the target display area.

[0051] In some embodiments, the aforementioned "information that can be used to evaluate the display quality of the target display area" may include: evaluation information on the display quality of the target display area. This evaluation information can be used to indicate the display status, display quality, or display effect of the target display area, or to evaluate whether the target display area has display defects. For example, this evaluation information can be used to indicate whether the brightness and / or chromaticity of the target display area is uniform (the brightness and / or chromaticity mentioned here may refer to brightness and / or chromaticity at one or more gray levels). This evaluation information can be calculated based on the optical information mentioned above. For example, the brightness information of the target display area at a certain gray level can be calculated based on the lamp image captured by the camera, and then the brightness uniformity of the corresponding display area can be determined based on the calculated brightness information. To support the evaluation of the display quality of the target display area, a defect evaluation module 1421 (such as a uniformity evaluation module) for the display screen can be installed in the software system 142 of the evaluation / calibration device 14. If it is desired to obtain the evaluation information on the display quality of the target display area, the lamp image captured by the camera can be input into the defect evaluation module 1421.

[0052] In some embodiments, the aforementioned "information that can be used to correct the target display area" may include optical information of part or all of the display area of ​​the screen. As an example, the optical information may include one or more of the following: luminous flux information, luminance information, and chromaticity information.

[0053] In some embodiments, the aforementioned "information that can be used to correct the target display area" may include: correction information on the display quality of the target display area. This correction information can be used to correct the target display area. For example, the correction information can be used to correct the brightness and / or chromaticity of the target display area. This evaluation information can be calculated based on the optical information mentioned above. For example, the brightness information of the target display area at a certain grayscale can be calculated based on the lamp image captured by the camera, and then the correction information of the target display area can be determined based on the calculated brightness information. To support the correction of the target display area, a correction module 1422 can be installed in the software system 142 of the evaluation / correction device 14. If the correction information of the target display area is desired, the lamp image captured by the camera can be input into the correction module 1422.

[0054] As mentioned earlier, to evaluate and / or calibrate a target display area, it is necessary to first capture an image of the lamp points in that area using a camera. Then, based on the optical information from this lamp point image, target information is generated for evaluating the display quality of the target display area and / or for calibrating the display screen. However, the evaluation and / or calibration methods provided by related technologies have very low pixel utilization of the camera. If the display area is large, the efficiency of the entire evaluation and / or calibration process is low. Taking the calibration process of a common 2k×1k display screen as an example, related technologies often require dividing the screen into many areas and then calibrating each area individually, a process that is very time-consuming.

[0055] To facilitate understanding, the above problems and their underlying causes will be analyzed below.

[0056] Before using a camera to photograph a display screen, the relevant technology adjusts the camera parameters to ensure that the images of the light points captured by the camera are clear and that the images of the light points are separated by obvious dark bands to avoid crosstalk between the light points. Figure 3A An example of a light spot image used in the relevant technology is given. Figure 3A (It should be understood that,) Figure 3A The dashed box in the image is an additional label for clarity and is not part of the image of the light point. Reference numeral 32 in the figure indicates the center position of the light point. Figure 3A As can be seen, the light spots are separated by a wide dark band 34. Due to the presence of the dark band 34, the imaging of adjacent light spots does not interfere with each other, thus allowing for accurate determination of the optical information corresponding to each light spot. Figure 3A The reference numeral 36 in the attached figure shows the number of pixels corresponding to a single light point. It can be seen that imaging a single light point requires a relatively large number of pixels, typically 7×7 pixels. Even with camera parameter adjustments to minimize the width of the dark band 34, in the most extreme cases, imaging a single light point still requires at least 5×5 pixels.

[0057] After obtaining the pixels corresponding to each light point, the optical information (such as luminous flux information, brightness information, chromaticity information, etc.) of each light point can be calculated. In the actual calculation, since pixels in the dark band do not contain effective optical information, these pixels are essentially discarded. In other words, the pixels in the dark band 34 of the camera are wasted, resulting in low pixel utilization of the camera.

[0058] To address the aforementioned problems, the inventors conducted a systematic analysis, research, and testing of the relevant technologies, and based on this, proposed a solution, which is detailed below.

[0059] The reason why related technologies require dark bands between pixels in the LED image is to ensure that the optical information in the pixels corresponding to each LED accurately measures its own luminescence without interference from adjacent LEDs. This traditional view seems reasonable, but it overlooks a crucial fact: as display resolution increases and the spacing between LEDs decreases, the light emitted by adjacent LEDs will inevitably interfere with each other during actual use. The display defects observed by users are not those that occur when LEDs do not interfere with each other, but rather those that occur when they interfere. Therefore, a more reasonable approach is that display evaluation / calibration does not need to be based on ensuring that LEDs do not interfere with each other. In other words, if the display can be free of defects even when LEDs interfere with each other, users will not perceive any defects. Because the traditional view fails to fully recognize this, it requires dark bands to separate the LED images. In reality, the mutual interference and influence between LED images more accurately reflects the actual usage of a display, making dark bands unnecessary. The embodiments of this application are based on the above findings and analyses. The above findings and analyses are not prior art, but should be regarded as part of the contribution of this application to the prior art.

[0060] Since setting dark bands between light spot images is unnecessary, eliminating the requirement for dark bands between light spot images allows for the representation of a single light spot with fewer pixels, thereby avoiding the pixel waste problem mentioned earlier and improving pixel utilization. Based on this, this application first proposes a light spot image different from related technologies, based on which target information can be extracted more efficiently. The light spot image proposed in this application embodiment will be described in detail below.

[0061] The light spot image proposed in this application embodiment includes the imaging of light spots within a target display area, and at least some of the light spots within the target display area are in a state of "adhesion" in the light spot image. The phrase "at least some light spots are in a state of 'adhesion' in the light spot image" means that there are no obvious dark bands (i.e., no areas with almost zero luminous flux) between adjacent light spots. From the perspective of human observation, although the approximate location of the light spot (or the center of the light spot) can be identified from the light spot image, there are no clear boundaries between adjacent light spots, giving the overall impression of a somewhat blurry image.

[0062] Figure 3B An example image of the light spot is given. Figure 3B Reference numeral 32' in the attached diagram indicates the center position of the light spot. From Figure 3B The center position of the light spot can be roughly identified at 32' (i.e.) Figure 3B (The darkest part of the color). Furthermore, from... Figure 3B It can also be seen that the signal strength between adjacent light points exhibits a process of decreasing strength and then increasing again (signal strength at...). Figure 3B (It is represented by the depth of color), but there are no obvious dark bands between the light spots. Figure 3B The reference numeral 36' in the attached diagram indicates the pixel corresponding to a light point. By comparison... Figure 3A and Figure 3B It can be seen that, Figure 3B In this case, the number of pixels corresponding to a single light point is reduced. For example, based on the light point image provided in the embodiments of this application, the number of pixels corresponding to a single light point can be reduced to 2.8 × 2.8 pixels, or even lower. Furthermore, compared to... Figure 3A and Figure 3B It can also be seen that, when using the same number of pixels, Figure 3B It can include imaging of more light points. Taking a display screen with a resolution of 2k×1k as an example, if the solution provided in the embodiments of this application is adopted, the evaluation and / or calibration of the entire display screen can be completed in one go, even without intermittent point acquisition.

[0063] The imaging of adjacent light points is in a state of overlap, which may include adjacent light point imaging being in a state of adjacency and / or overlapping light point imaging. If the imaging of adjacent light points is in a state of overlap, the degree of overlap of the imaging of adjacent light points in the light point image can be determined based on one or more of the following factors: the evaluation and / or calibration accuracy of the display screen, the evaluation and / or calibration efficiency of the display screen, and the impact of the degree of overlap of light point imaging on the accuracy of the extracted target information. As an example, the degree of overlap of the imaging of adjacent light points in the light point image can be between 10% and 80%. For example, the degree of overlap of the imaging of adjacent light points in the light point image can be between 10% and 50%, or between 20% and 30%.

[0064] In a lamp image, the position of a lamp is related to its DN value (which can be used to characterize the magnitude of a digital signal value), brightness value, or grayscale value. Based on this relationship, a waveform diagram of the lamp can be plotted. The waveform diagram of a lamp can, for example, be used to characterize the spatial light distribution curve of the lamp. As an example, the horizontal axis of the waveform diagram can be used to characterize the position of the lamp, and the vertical axis can be used to characterize the DN value, brightness value, or grayscale value of the lamp. From the perspective of the waveform diagram, the imaging of adjacent lamps being in a state of overlap can include: in the waveform diagram, the waveform curves of adjacent lamps are connected end-to-end or overlap with each other.

[0065] Figure 4 is used as an example for explanation. In Figure 4, the horizontal axis x represents the position of the light point, the vertical axis y represents the DN value, brightness value or grayscale value of the light point, and the attached label 42 indicates the waveform of a light point. Figure 4A This shows the waveform diagram of the light spot corresponding to the light spot image provided by related technologies. From... Figure 4A As can be seen, the waveform diagram includes 4 light points. The waveforms 42 of the light points are discontinuous and do not overlap. The interval between them can be understood as the "dark band" mentioned earlier. Figure 4B The diagram shown is a waveform diagram of the light spot corresponding to the light spot image provided in the embodiment of this application. From Figure 4B It can be seen that the waveforms 42 of the lamp points have overlapping parts 46, and the overall waveforms are in a state of adhesion.

[0066] The overlapping of images between light points in a light point image not only causes changes in the light point waveform but also produces similar changes in the image of the camera's image sensor (such as CMOS or CCD). Specifically, from the imaging angle of the camera's image sensor, an image profile can be drawn. The horizontal axis of the image profile can represent the position of row (or column) pixels in the light point image, and the vertical axis can represent the pixel's digital number (DN value), brightness value, or grayscale value. From the perspective of this image profile, the overlapping of images between adjacent light points can include: in this image profile, the curves corresponding to adjacent light points are connected end-to-end or overlap. The curves of the image profiles provided in related technologies and embodiments of this application are respectively... Figure 4A and Figure 4B Similarly, details will not be elaborated here.

[0067] In some embodiments, the difference between the maximum and minimum brightness in the light spot image is between 10% and 50%. For example, the difference between the maximum and minimum brightness in the light spot image is between 20% and 30%. It should be understood that the difference between the maximum and minimum brightness in the light spot image can be determined based on the ratio of the minimum brightness to the maximum brightness.

[0068] In some embodiments, the difference between the maximum and minimum gray levels in the light spot image is between 10% and 50%. For example, the difference between the maximum and minimum gray levels in the light spot image is between 20% and 30%. It should be understood that the difference between the maximum and minimum gray levels in the light spot image can be determined based on the ratio of the minimum gray level to the maximum gray level.

[0069] In some embodiments, the difference between the maximum and minimum DN values ​​in the lamp image is between 10% and 50%. For example, the difference between the maximum and minimum DN values ​​in the lamp image is between 20% and 30%. It should be understood that the difference between the maximum and minimum DN values ​​in the lamp image can be determined based on the ratio of the minimum DN value to the maximum DN value.

[0070] It should be understood that, generally speaking, the LEDs in the target display area of ​​a screen are arranged roughly evenly. Therefore, if the images of a pair of adjacent LEDs in the target display area are in a "stuck" state in the LED image, the images of other adjacent LEDs in the target display area will also be basically in a "stuck" state. However, the embodiments of this application do not exclude the existence of special cases, namely, the situation where the images of some adjacent LEDs are in a "stuck" state and the images of some adjacent LEDs are not in a "stuck" state. For example, if there are dead pixels in the target display area, the LEDs at the dead pixels may not be stuck together with their adjacent LEDs. Similarly, if the display screen is composed of multiple splicing units, and the gaps between the splicing units are large, the adjacent LEDs at the gaps may not be stuck together. Furthermore, since camera shooting involves a certain degree of deformation (or distortion), and the degree of deformation of LED areas at different positions / angles in the LED image may be different, it is not ruled out that the images of adjacent LEDs in a certain LED area (such as an LED area with large deformation) may be in a non-stuck state.

[0071] Based on the aforementioned LED image, this application provides a method for acquiring information. This method can efficiently acquire target information (i.e., the information mentioned earlier used for evaluating / calibrating the display screen) based on the LED image. The following describes the method in conjunction with... Figure 5 This section provides a detailed description of the method. In some embodiments, Figure 5 The method can be derived from Figure 1 The evaluation / calibration system shown is used for execution or is performed by the evaluation / calibration device within the system. For example, the evaluation / calibration personnel can control the display screen and / or camera through the evaluation / calibration device to complete the task. Figure 5 The steps involved are related to the control of the display screen and / or camera. Furthermore, the software system in the evaluation / calibration device can be used to process the light spot images captured by the camera to obtain target information. Of course, Figure 5 The method can also be implemented in other ways. For example, in some embodiments, Figure 5 Some steps in the method can be performed manually by the personnel responsible for evaluation and / or calibration. For example, one or more of the following steps, such as the display screen lighting step (step S510), the camera parameter adjustment step (step S520), and the camera shooting step (step S530), can be performed manually.

[0072] See Figure 5 In step S510, the lights within the target display area of ​​the control display are turned on. The lights within the target display area may include some or all of the lights in the target display area. The meaning of the lights within the target display area can be found above.

[0073] In step S520, the camera parameters are adjusted so that the images of at least some of the light points in the target display area are in a state of adhesion. For example, one or more of the camera parameters such as aperture, exposure time, focal length (zoom lens), and macro focus can be adjusted so that the images of at least some of the light points in the target display area are in a state of adhesion (see above for an explanation of adhesion).

[0074] It should be understood that there are multiple ways to adjust the imaging of at least some of the light points within the target display area to a connected state. For example, the proportion of light points in the light point image can be adjusted, that is, the number of pixels corresponding to each light point in the light point image can be adjusted, thereby making the imaging of at least some of the light points within the target display area a connected state.

[0075] Furthermore, in some embodiments, one or more of the camera image sharpness and light spot peak values ​​can be adjusted to meet certain requirements, thereby facilitating subsequent information extraction. These indicators can be set according to actual needs or experience, and will not be elaborated upon in this application.

[0076] It should be understood that the order of steps S510 and S520 is not specifically limited in the embodiments of this application. For example, the lights in the target display area can be controlled to be lit first, and then the camera parameters can be adjusted so that the images of at least some of the lights in the target display area are in a connected state. Alternatively, the camera parameters can be adjusted first based on experience or test images, and then the lights in the target display area can be controlled to be lit. In this example, since the camera parameters have been pre-adjusted, when the lights in the target display area are lit, the images of at least some of the lights in the target display area are naturally in a connected state. Of course, in some embodiments, if the camera parameters themselves meet the requirements, step S520 can be omitted.

[0077] It should be understood that the target display area's display pattern during camera parameter adjustment should be consistent with the pattern used when acquiring optical information. For example, during calibration, if the target display area uses a point-by-point display pattern, it should also use a point-by-point display pattern when adjusting camera parameters. Similarly, if the target display area uses a 2x2 display pattern during calibration, it should also use a 2x2 display pattern when adjusting camera parameters.

[0078] In one preferred implementation, different colored light points correspond to different camera parameters. Specifically, the main difference lies in the exposure time. For example, at the same grayscale, green is relatively brighter, and blue is relatively darker; therefore, different colors require different camera exposure times. For instance, all green light points in the target display area can be illuminated first, the camera can capture an image of the target display area, and based on the captured image, the user and / or PC can adjust the camera parameters to obtain the camera parameters when the target display area displays green. The same method can be used to obtain the camera adjustment parameters when the target display area displays red, and the camera adjustment parameters when it displays blue. Alternatively, the camera parameters for red and blue can be calculated based on the relationship between the camera parameters for red, green, and blue, according to the camera parameters corresponding to green. Or, a combination of both methods can be used for adjustment. In another optional implementation, the camera parameters that need to be adjusted mainly include: macro focus, aperture, and exposure time.

[0079] There are several ways to determine whether the adjustment of camera parameters meets the requirements (i.e., whether the adjusted camera parameters make the images of at least some of the light points in the target display area stick together). Here are a few examples.

[0080] For example, a preset range (hereinafter referred to as the first preset range) can be set for the degree of overlap of the light spot images within the target display area. Then, the camera parameters can be adjusted so that the degree of overlap of the light spot images captured by the camera falls within this first preset range. Once the degree of overlap of the light spot images captured by the camera falls within this first preset range, it can be considered that the adjustment of the camera parameters has met the requirements.

[0081] For example, a preset range of grayscale values ​​for the lights within the target display area can be set (hereinafter referred to as the second preset range, which can be defined by the maximum and minimum grayscale values ​​of the lights within the target display area). Then, the camera parameters can be adjusted so that the grayscale values ​​of the lights captured by the camera fall within this second preset range. Once the grayscale values ​​of the lights captured by the camera fall within this second preset range, the camera parameter adjustment can be considered to have met the requirements.

[0082] For example, a preset range can be set for the brightness of the lights within the target display area (hereinafter referred to as the third preset range, which can be defined by the maximum and minimum brightness of the lights within the target display area). Then, the camera parameters can be adjusted so that the brightness of the lights captured by the camera falls within this third preset range. Once the grayscale of the lights captured by the camera falls within this third preset range, the adjustment of the camera parameters can be considered to have met the requirements.

[0083] The first, second, and third preset ranges mentioned above can be empirical values ​​or measured values ​​obtained through experiments based on the actual situation of the camera. This application does not specifically limit them. For example, the first preset range can be 10%-50%; the second preset range can be 10-30%; and the third preset range can be 10-30%.

[0084] In step S530, after the camera parameters are adjusted, the camera is controlled to capture an image of the target display area, obtaining a light spot image of the target display area. In some embodiments, the light spot image may be an image formed by lighting one or more light spots of certain colors in the target display area (such as a solid color image). For example, the light spot image may include one or more of the following images: a green light image formed by lighting green light spots in the target display area, a red light image formed by lighting red light spots in the target display area, a blue light image formed by lighting blue light spots in the target display area, and a mixed color image formed by lighting at least two colors of light spots in the target display area. The meaning of the light spot image can be found above.

[0085] In step S540, target information is obtained based on the lamp point image. This target information can be used to evaluate the display quality of the target display area; and / or, the target information can be used to correct the lamp points within the target display area. A detailed description of the target information can be found above.

[0086] This application embodiment adjusts camera parameters so that at least some of the light points within the target display area are in a contiguous state of imaging. In this light point image, the contiguous light point imaging area does not have obvious dark bands. In other words, the pixel value of each pixel in this light point imaging area contains useful optical information. During subsequent target information calculations, the pixel information of each pixel is fully utilized and is not discarded like pixels in dark bands, thereby improving the camera's pixel utilization rate. Furthermore, because the pixels corresponding to the light points are in a contiguous state, the light point image can use fewer pixels to represent a single light point, allowing the camera to capture a larger display area at once, improving the efficiency of display evaluation and / or calibration.

[0087] As mentioned earlier, a display screen can include multiple splicing units. Taking an LED display screen as an example, it can be composed of multiple LED light boxes spliced ​​together. Due to limitations in machining precision and assembly precision, the distance between the LED dots at the edges of adjacent splicing units may be greater or less than the distance between LED dots in other areas, thus forming gaps (or seams). The luminous density of the LED dots at the gaps may differ from that of the LED dots in other areas. Therefore, during the display process, a bright or dark line may sometimes appear at the gaps, known as a splicing bright / dark line, affecting the display effect. Therefore, related technologies require not only individual calibration of the LED dots but also calibration of the gaps between the splicing units. Performing these two types of calibration separately is inefficient.

[0088] In the lamp point image provided in this application embodiment, the imaging of adjacent lamp points is in a state of adhesion. Therefore, due to the influence of the gap, the trend of change of optical information (or light color information) between adjacent lamp points within the splicing unit and adjacent lamp points on both sides of the gap differs. In other words, compared with the lamp point image based on dark bands used in related technologies, the lamp point image used in this application embodiment includes not only the information of the lamp points but also the gap information between the splicing units. Therefore, this lamp point image can not only reflect the display quality of the lamp points but also the influence of the gap on the display quality.

[0089] Therefore, when the display screen is calibrated using the lamp point image provided in this application embodiment, the calibration information extracted from the lamp point image can simultaneously correct the gaps. In other words, the calibration information implicitly includes gap correction information. For example, the target information contains lamp point calibration information, and after calibration, the brightness of the lamp points in the target display area is uniform throughout the entire target display area. As mentioned earlier, the target display area actually contains gaps. Since the calibration information can make the target display area display uniformly, it means that the calibration information not only completes the calibration of the lamp points themselves but also completes the calibration of the gaps; that is, the calibration information implicitly includes the gap correction information.

[0090] Therefore, the lamp point image provided in this application embodiment can not only improve the calibration efficiency of the display screen from the perspective of improving camera pixel utilization, but also combine lamp point calibration and gap calibration into one, thereby further improving the calibration efficiency of the display screen.

[0091] See again Figure 5 Step S540 describes obtaining target information based on the light spot image. There are various ways to implement step S540; the following describes in detail the method of obtaining target information with reference to an embodiment.

[0092] Before acquiring target information using lamp point images, it is generally necessary to first locate the lamp points, that is, determine the position of the lamp points within the target display area in the lamp point image, or in other words, determine the correspondence between the lamp points within the target display area and the pixels in the lamp point image. Then, based on the pixels corresponding to each lamp point, the optical information corresponding to each lamp point can be determined, thereby determining the target information.

[0093] There are several methods for locating light points. For example, a template for the pixels corresponding to each light point can be pre-defined. Then, based on this template, the pixels corresponding to each light point can be extracted from the light point image through template matching. Next, the optical information corresponding to each light point can be obtained based on the pixels corresponding to each light point. Alternatively, an edge detection algorithm can be used to calculate the pixels corresponding to each light point in the light point image, and then the optical information corresponding to each light point can be obtained based on the pixels corresponding to each light point.

[0094] In addition to the above methods, this application also proposes a simpler and more efficient lamp positioning method, namely a lamp positioning method based on the lamp arrangement information of the target display area.

[0095] "Light Layout Information for the Target Display Area" can be used to indicate the arrangement and / or position of the indicator lights within the target display area. For example, the light layout information for the target display area can indicate the number of rows / columns of lights contained in the target display area, thereby indicating the arrangement or position of the lights within the target display area. Since the target display area is known, "Light Layout Information for the Target Display Area" is actually a kind of prior information that can be known in advance.

[0096] Taking a rectangular target display area as an example, the lamp arrangement information of the target display area can refer to the resolution information of that target display area. For example, assuming the resolution of the target display area is 1920×1080, and the lamp image is the image formed after all the red lamps in the target display area are lit, the resolution information of the target display area can be directly used as the lamp arrangement information. This resolution information can indicate that there are 1920 rows of lamps arranged in the row direction and 1080 columns of lamps arranged in the column direction of the target display area. Since the lamps are generally evenly distributed, this lamp arrangement information is equivalent to indicating the specific position of each lamp in the lamp image. After simple calculation, the position of each lamp can be determined. For example, the image can be evenly divided into 1920×1080 pixel areas according to the resolution, and then each pixel area can represent the position of one lamp.

[0097] Compared with methods such as template matching and edge detection, the light spot positioning method based on the light spot layout information of the target display area is simpler and more efficient.

[0098] The following text combines Figure 6 The process of extracting target information from light spot images based on light spot layout information is illustrated in more detail with examples.

[0099] See Figure 6 In step S610, the correspondence between the light points in the target display area and the pixels in the light point image is determined based on the light point arrangement information of the target display area.

[0100] For example, the light dot layout information indicates that there are 2k×1k light dots arranged in the target display area. Assuming that the light dot image contains 6k×3k pixels, then one light dot in the target display area corresponds to 3×3 pixels at the corresponding position in the light dot image.

[0101] For example, the lamp image can be sampled based on the lamp layout information of the target display area, so that the pixels in the sampled image correspond one-to-one with the lamps in the target display area. In this way, the optical information of each pixel in the sampled image can be directly used as the optical information of the lamp corresponding to that pixel in the target display area. As a concrete example, if the lamp layout information indicates that the target display area contains 2k × 1k lamps, and the lamp image contains 6k × 3k pixels, the lamp image can be sampled first, so that the lamp image contains 2k × 1k pixels. After this sampling operation, one lamp in the target display area corresponds to a pixel at the corresponding position in the lamp image, which simplifies the subsequent calculation of optical information / target information.

[0102] It should be understood that there are multiple sampling methods for the light spot image mentioned above. For example, the average sampling (such as mean downsampling) can be performed on adjacent pixels in the light spot image, or the adjacent pixels of the pixel at the sampling center position can be directly discarded. As an example, the average downsampling can be performed on each column of pixels in the light spot image in the column direction, so that the number of pixels in each column is sampled to the same resolution as the height direction of the target display area; then, the average downsampling can be performed on each row of pixels in the row direction, so as to obtain a light spot image with the same resolution as the target display area. As another example, the average downsampling can be performed on each row of pixels in the row direction, so that the number of pixels in each row is sampled to the same resolution as the width direction of the target display area; then, the average downsampling can be performed on each column of pixels in the column direction, so as to obtain a light spot image with the same resolution as the target display area. As yet another example, the average downsampling can be performed on both the row and column directions of the light spot image simultaneously until a light spot image with the same resolution as the target display area is obtained.

[0103] In step S620, the optical information corresponding to the light points in the target display area is determined based on the correspondence between the light points in the target display area and the pixels in the light point image. For example, the brightness information of the pixel corresponding to a certain light point in the light point image can be directly used as the brightness information of that light point. Similarly, the chromaticity information of the pixel corresponding to a certain light point in the light point image can be directly used as the chromaticity information of that light point. Furthermore, the luminous flux information of the pixel corresponding to a certain light point in the light point image can be directly used as the luminous flux information of that light point.

[0104] In step S630, target information is obtained based on the optical information corresponding to the light spots within the target display area. For example, the optical information corresponding to the light spots within the target display area can be input to a defect evaluation module (such as a uniformity evaluation module), and the evaluation information output by the defect evaluation module can be used as the target information. Alternatively, the optical information corresponding to the light spots within the target display area can be input to a correction module, and the correction information of the light spots output by the correction module can be used as the target information.

[0105] Images of lights captured by a camera will exhibit a certain amount of distortion. This distortion is sometimes referred to as perspective distortion or perspective warping. The degree of distortion is related to factors such as the camera's focal length, shooting distance, and shooting angle. For example, the shorter the focal length and the closer the shooting distance, the greater the distortion may be. If the target display area is large, certain areas within that area will also show significant distortion in the light image. If the target display area can be divided into multiple partitions, and the positional information of these partitions in the light image can be accurately determined, then the optical information corresponding to each partition can be extracted separately. Compared to the overall distortion of the target display area, the distortion corresponding to each partition is relatively small, and extracting optical information based on partitions improves the accuracy of information extraction.

[0106] To extract optical information based on partitions, it is necessary to know the positional information of each partition in the lamp point image. This application proposes a partition positioning method based on a calibration image (or positioning image) to quickly and accurately obtain this positional information.

[0107] Specifically, after camera parameter adjustment is complete, a calibration image can be taken using the camera. This calibration image can be used to divide the target display area into multiple zones (or, in other words, the calibration image contains the positional information of multiple zones). Since the lamp point image and the calibration image are taken under the same camera parameters and on the same display area (i.e., the target display area), the distortion presented in the two images is the same. Therefore, based on the positional information of the multiple zones contained in the calibration image, the positions of these multiple zones in the lamp point image are accurately located.

[0108] The number of partitions into which the target display area is divided by the calibration image, and the size of each partition, can be set according to the actual situation. For example, the multiple partitions can be set according to the following principle: after the camera captures the image within each partition, the deformation of that partition is within an acceptable range (or, the deformation of each partition is within a basically negligible range).

[0109] In a preferred embodiment, since the calibration image is used for positioning, but the positions of different colored light points are different, different calibration images corresponding to different colored light points can make the positioning more accurate. Therefore, in some embodiments, the aforementioned light point image may include a first light point image and a second light point image. The first light point image and the second light point image correspond to light points of different colors within the target display area. Accordingly, the calibration image may include a first calibration image corresponding to the first light point image and a second calibration image corresponding to the second light point image. The first calibration image and the second calibration image are different. The difference between the first calibration image and the second calibration image may be reflected in one or more of the following: the pattern colors in the first calibration image and the second calibration image are different; the position information of the partitions provided by the first calibration image and the second calibration image are slightly different (because the positions of the light points of different colors in the target display area are slightly different).

[0110] For example, the first light spot image can be a red light spot image, and the second light spot image can be a blue light spot image. The red light spot image is paired with a red calibration image; based on the red calibration image and the red light spot image, the optical information of the red light spot is obtained. Similarly, the blue light spot image is paired with a blue calibration image; based on the blue calibration image and the blue light spot image, the optical information of the blue light spot is obtained. Likewise, if it is necessary to obtain the optical information of light spots displaying a mixed color in the target display area, a mixed color calibration image can be used.

[0111] It should be understood that the order in which the calibration image is displayed and the pattern used to extract optical information is displayed in the target display area is not limited in this application.

[0112] In some embodiments, the calibration image may include patterns corresponding to multiple partitions within the target display area. By displaying these partitions, the calibration image divides the target display area into multiple partitions, thereby locating the positions of these partitions in the light spot image. The multiple patterns corresponding to each partition in the calibration image can be alternating light and dark patterns. Alternating light and dark patterns are beneficial for accurately identifying the boundaries of each partition. For example, if the target display area has a resolution of 1920*1080, the screen can be displayed in a checkerboard pattern. For example, by displaying the green light spots in the target display area point by point to obtain a green light spot image, a green and black checkerboard pattern can be obtained, where each checkerboard cell can, for example, include 64*60 pixels.

[0113] Besides a checkerboard pattern, the calibration image can also be one or more combinations of the following: crosshairs, Aruco codes, special lines, dots, and grids. The special lines can be several vertical lines; for example, displaying three vertical lines in the target display area divides the screen's display area into four zones. The Aruco codes are binary codes, which can be understood as a rectangular code composed of only two colors. The dots are a pattern composed of multiple dots.

[0114] The following, with reference to Figure 7, provides several more specific examples of calibration images. It should be understood that the calibration images shown in Figure 7 are intended to illustrate the pattern type of calibration images and do not take into account the effects of camera perspective distortion.

[0115] Figure 7A This is an example of a calibration image provided in an embodiment of this application. For example... Figure 7A As shown, the calibration image includes multiple illuminated areas. Figure 7A (black areas in the image) and multiple non-lit areas ( Figure 7A (The white area in the middle).

[0116] Figure 7B This is another example of a calibration image provided in the embodiments of this application. For example... Figure 7B As shown, the calibration image includes multiple illuminated areas. Figure 7B (black areas in the image) and multiple non-lit areas ( Figure 7B (the white area in the middle), and the lit and unlit areas are in Figure 7B The middle is arranged alternately.

[0117] Figure 7C This is yet another example of a calibration image provided in the embodiments of this application. For example... Figure 7C As shown, the calibration image includes multiple discontinuous lit light points ( Figure 7C The black circular area in the middle), and multiple non-lit light points ( Figure 7C (The white circular area in the middle).

[0118] Figure 7D This is yet another example of a calibration image provided in the embodiments of this application. For example... Figure 7D As shown, the calibration image is a grid pattern. Each cell in the grid pattern marks a section of the target display area.

[0119] Figure 7E This is yet another example of a calibration image provided in the embodiments of this application. For example... Figure 7E As shown, the calibration image is a scatter pattern composed of multiple scattered points.

[0120] The meaning and types of calibration images have been explained in detail above. The following text describes the method of obtaining target information from light spot images based on calibration images (which can be understood as...). Figure 5 The implementation method of step S540 in the example will be explained in detail with examples.

[0121] See Figure 8 In steps S810 to S820, after the camera parameters are adjusted, the target display area is controlled to display a calibration image, and the camera is controlled to capture the calibration image. A description of the camera parameter adjustment can be found in step S520 above.

[0122] In step S830, the lamp image is divided into multiple images corresponding one-to-one with multiple partitions based on the calibration image. For example, if the calibration image contains location information of multiple partitions, the lamp image can be divided into multiple images based on this location information, so that each image represents one partition.

[0123] In steps S840 to S850, optical information (or color information) corresponding to the multiple partitions is determined based on the multiple images; and target information is obtained based on the optical information corresponding to the multiple partitions.

[0124] by Figure 9 For example, after the camera parameters are adjusted, the target display area can be controlled to display a calibration image 92, which shows alternating bright and dark light points. In this calibration image 92, black represents light points that are lit, and white represents light points that are not lit, with every four adjacent light points forming a partition. Then, the camera can be controlled to capture the calibration image 92 displayed in the target display area, thus obtaining calibration image 92'. Comparing calibration image 92 and calibration image 92', it can be seen that the light points originally arranged at equal intervals in calibration image 92 have undergone a certain amount of deformation in calibration image 92'.

[0125] After capturing the calibration image 92, the target display area can be controlled to display the light spot image 94. Then, the camera can be controlled to capture this light spot image 94, thus obtaining light spot image 94'. Comparing light spot image 94 and calibration image 94', it can be seen that the originally evenly spaced light spots in light spot image 94 also undergo a certain amount of deformation in light spot image 94', and the deformation of light spot image 94' and calibration image 92' is the same. Next, taking advantage of the identical deformation, light spot image 94' can be partitioned in the same way as the calibration image, thus forming multiple images 96 corresponding one-to-one with multiple partitions. Since the size of the partitions corresponding to image 96 is small, the deformation within image 96 is also relatively small and can be basically ignored. After obtaining multiple images 96, the optical information / target information of each partition can be extracted based on these multiple images 96.

[0126] Therefore, this embodiment transforms the task of determining the optical information of the target display area based on the light spot image into multiple sub-tasks, where each sub-task determines the optical information corresponding to a partition within the target display area. Then, this embodiment can aggregate the optical information corresponding to each partition to obtain the target information. Since the deformation corresponding to each partition is relatively small, dividing the target display area into multiple partitions and extracting optical information on a partition-by-partition basis can reduce the impact of camera distortion on the accuracy of the acquired target information.

[0127] There are multiple ways to implement step S840. For ease of description, the following example uses the first partition among multiple partitions (which can be any one of the multiple partitions, and the first partition corresponds to the first image among the multiple images divided in the lamp point image) to illustrate the implementation of step S840.

[0128] Before acquiring optical information from the first image, it is generally necessary to locate the light sources first, that is, to determine the position of the light sources within the first partition in the first image, or in other words, to determine the correspondence between the light sources within the first partition and the pixels in the first image. Then, based on the pixels corresponding to each light source, the optical information corresponding to each light source can be determined.

[0129] There are several ways to locate light points within a partition. For example, a template for the pixels corresponding to each light point can be pre-defined. Then, based on this template, the pixels corresponding to each light point can be extracted from the first image through template matching. Finally, the optical information corresponding to each light point can be obtained based on the pixels corresponding to each light point. Alternatively, an edge detection algorithm can be used to calculate the pixels corresponding to each light point in the first image, and then the optical information corresponding to each light point can be obtained based on the pixels corresponding to each light point.

[0130] In addition to the methods described above, this application also proposes a simple and efficient light point positioning method, namely, a light point positioning method based on the light point layout information of the first zone. The "light point layout information of the first zone" can be used to indicate the layout method and / or position of the indicator lights within the first zone. For example, the light point layout information of the first zone can indicate the number of rows / columns of the lights contained in the first zone, thereby indicating the layout method or position of the lights within the first zone. Since the first zone is known, the "light point layout information of the first zone" is actually a kind of prior information obtained in advance.

[0131] Taking a rectangular area as an example, the light distribution information of the first partition can refer to the resolution information of that partition. For instance, assuming the resolution of the first partition is 480×270, and the first image is formed after all the red lights in the first partition are lit, the resolution information of the first partition can be directly used as the light distribution information. This resolution information indicates that there are 480 rows of lights arranged in the row direction and 270 columns of lights arranged in the column direction of the first partition. Since the lights are generally evenly distributed, this resolution information is equivalent to indicating the specific position of each light in the first image. After simple calculation, the light location can be completed. Compared with methods such as template matching and edge detection, this light location method is simpler and more efficient.

[0132] The following text combines Figure 10 The process of extracting optical information from the first image based on the lamp layout information of the first partition (corresponding to...) Figure 8 The steps in step S840 will be illustrated in more detail with examples.

[0133] See Figure 10 In step S1010, the correspondence between the light points in the first partition and the pixels in the first image is determined based on the light point arrangement information of the first partition.

[0134] For example, if the light distribution information of the first zone indicates that there are 640×360 light points arranged in the first zone, and the first image contains 1920×1080 pixels, then one light point in the first zone corresponds to 3×3 pixels at the corresponding position in the light point image.

[0135] For example, the first image can be sampled based on the lamp layout information of the first partition, so that the pixels in the sampled image correspond one-to-one with the lamps in the first partition. In this way, the optical information of each pixel in the sampled image can be directly used as the optical information of the lamp corresponding to that pixel in the first partition. As a specific example, if the lamp layout information of the first partition indicates that the first partition contains 640×360 lamps and the first image contains 1920×1080 pixels, then the first image can be sampled first, so that the first image contains 640×360 pixels. After this sampling operation, one lamp in the first partition corresponds to one pixel at the corresponding position in the first image. Based on this one-to-one correspondence, the subsequent calculation of optical information / target information can be simplified.

[0136] In step S1020, the optical information corresponding to the light points in the first partition is determined based on the correspondence between the light points in the first partition and the pixels in the first image. For example, the brightness information of the pixel in the first image corresponding to a certain light point can be directly used as the brightness information corresponding to that light point. Similarly, the chromaticity information of the pixel in the first image corresponding to a certain light point can be directly used as the chromaticity information corresponding to that light point. Furthermore, the luminous flux information of the pixel in the first image corresponding to a certain light point can be directly used as the luminous flux information corresponding to that light point.

[0137] Figure 11A It is a schematic diagram of the outline of the light spots in the target display area captured by the camera. For example... Figure 11A As shown, since the camera is not directly facing the target display area, the image is somewhat distorted. Therefore, in some embodiments, the image of the light point can be modified to make it into a straight rectangle. Figure 11B What is shown is Figure 11A The image shown is obtained after transforming (e.g., perspective transformation) the light spot image. Using... Figure 11B Subsequent extraction of target information can improve the accuracy of the extracted target information.

[0138] See again Figure 5 , Figure 5 Step S520 describes the need to adjust camera parameters before capturing images of the light points using the camera, ensuring that at least some of the light points within the target display area are in a connected state. This camera parameter adjustment can be performed on the camera's image preview interface. This image preview interface can be generated by an evaluation / calibration device. For example, the software system in the evaluation / calibration device can present the camera's image preview interface to assist evaluation and / or calibration personnel in adjusting camera parameters. The camera image preview interface can display a preview image of the light points. If the light point images in the preview image are not in a connected state, the evaluation and / or calibration personnel can adjust the camera parameters on this image preview interface until the images between the light points are connected.

[0139] For those unfamiliar with the technical solutions provided in the embodiments of this application, reducing the size of the preview image might make it appear "blurry." The evaluator and / or calibrator might mistakenly believe that such a small preview image already meets the requirement of "making the images of the lamp points in the lamp point image appear to be in a state of overlap." However, this is incorrect because excessive overlap between the lamp points will result in inaccurate extracted optical data.

[0140] To avoid the aforementioned problems, embodiments of this application control the image preview interface of the camera to display instruction information, which can be used to limit the size of the preview image of the light point image in the image preview interface. Alternatively, the instruction information can be used to specify the required size of the preview image of the light point image. There are various ways to implement this instruction information. For example, the instruction information can be text indicating the minimum size of the preview image, a bounding box limiting the minimum size of the preview image, or a combination of the above. As an example, see... Figure 12 The indication information may include a rectangular area 1230 displayed on the image preview interface 1220. This indication information can be used to indicate that the preview image needs to fill or substantially fill the rectangular area 1230 (substantially filling can be understood as the boundary of the preview image needing to reach or approach the boundary of the rectangular area 1230). Alternatively, the indication information can be used to indicate that the size displayed in the rectangular area 1230 is the minimum size of the preview image. Further, the indication information may also include text information 1240. This text information may, for example, be... Figure 12 The text displayed reads, "Please ensure the preview image fills the area within this dashed box." Alternatively, in some embodiments, the text message may read, "Please ensure the boundaries of the preview image are outside the range of this dashed box." This text message can prompt evaluation and / or calibration personnel to control the size of the preview image within an appropriate range. When evaluation and / or calibration personnel find that the preview image does not meet the requirements of this instruction, they can adjust the distance between the camera and the display screen (or adjust the camera's focal length or macro focus) until the size of the light spot image meets the requirements.

[0141] The following is combined Figure 13 and Figure 14 Here are a few specific examples. Figure 13 and Figure 14 The examples described can be derived from Figure 1 The system execution is shown. Figure 13 and Figure 14 In the examples, the displays are all LED displays, and the target display area is the entire display area of ​​the screen. It should be noted that... Figure 13 and Figure 14 The examples described are merely to help those skilled in the art understand the embodiments of this application, and are not intended to limit the embodiments of this application to the specific numerical values ​​or specific scenarios illustrated. Those skilled in the art will obviously be able to make various equivalent modifications or variations based on the given examples, and such modifications or variations also fall within the scope of the embodiments of this application.

[0142] Example 1: Evaluation of brightness uniformity of LED display screen

[0143] See Figure 13In step S1310, the entire display area of ​​the control screen is used to display red, green, and blue LED images respectively. In other words, the control screen displays red, green, and blue pure colors separately. The grayscale of the display can be set according to customer requirements.

[0144] In step S1320, the camera is controlled to acquire images of the light spots on the display screen and generate luminous flux information corresponding to the light spots on the display screen.

[0145] Specifically, before acquiring images of the LED dots on the display screen, the camera is adjusted so that the images of the dots appear to overlap. Then, the camera is used to acquire brightness information. Next, perspective distortion is used to correct the shape of the dot images, and the images are downsampled to match the resolution of the LED display screen. After downsampling, the luminous flux information for each dot on the LED display screen can be calculated based on the one-to-one correspondence between the dot images and the dots themselves.

[0146] In step S1330, the brightness uniformity of the LED display screen is evaluated based on the luminous flux information corresponding to each lamp point. For example, after obtaining the luminous flux information corresponding to each lamp point of the display screen, the luminous flux information can be input into the uniformity evaluation module to evaluate the brightness uniformity of the display screen.

[0147] Example 2: Brightness calibration of LED display screen

[0148] See Figure 14 In step S1410, the entire display area of ​​the screen is controlled to display red, green, and blue LED images respectively. In other words, the screen can be controlled to display red, green, and blue pure colors separately. The grayscale of the display can be set according to customer requirements.

[0149] In step S1420, the camera is controlled to acquire images of the light spots on the display screen and generate luminous flux information corresponding to the light spots on the display screen.

[0150] Specifically, before acquiring images of the LED dots on the display screen, the camera is adjusted so that the images of the dots appear to overlap. Then, the camera is used to acquire brightness information. Next, perspective distortion is used to correct the shape of the dot images, and the images are downsampled to match the resolution of the LED display screen. After downsampling, the luminous flux information for each dot on the LED display screen can be calculated based on the one-to-one correspondence between the dot images and the dots themselves.

[0151] In step S1430, the brightness of the LED display screen is calibrated based on the luminous flux information corresponding to each lamp point. For example, after obtaining the luminous flux information corresponding to each lamp point of the display screen, the luminous flux information can be input into the calibration module to calibrate the brightness of the display screen.

[0152] It should be understood that the methods in the embodiments of this application can be applied not only to brightness correction, but also to various other application scenarios such as color correction, thermal correction, full grayscale correction, hybrid screen splicing correction, secondary correction, low grayscale correction, and coupled screen correction.

[0153] For thermal correction, the methods for obtaining optical data of both the cold screen image and the hot screen image of the thermal compensation coefficient can be the methods described in the embodiments of this application.

[0154] For full grayscale correction, the optical data of each grayscale level among the acquired grayscale levels can be obtained using the method described in the embodiments of this application.

[0155] For hybrid screen splicing correction, the hybrid screen refers to a screen spliced ​​together by cabinets or modules of different specifications, such as LCD and LED splicing, or LED splicing with different pixel pitches, etc.

[0156] For low gray correction and coupling screen correction, it is necessary to control the screen to light up point by point and then use the method in this application to extract optical data.

[0157] The following is combined Figure 15 This application describes the method for obtaining information provided in its embodiments from the perspective of software code or processor. Figure 15 The method shown can be executed, for example, by the processor or software system of the evaluation / calibration device mentioned above. Figure 15 The relevant concepts in this method have already been explained in detail above and will not be repeated here. Therefore, Figure 15 For any parts of the corresponding embodiments that are not described in detail, please refer to the preceding text.

[0158] See Figure 15 The method includes steps S1510 and S1520.

[0159] In step S1510, an image of the lamp dots in the target display area of ​​the display screen is acquired. The target display area is part or all of the display area of ​​the display screen, and at least some of the lamp dots arranged in the target display area are in a state of adhesion in the image of the lamp dots.

[0160] In step S1520, target information is obtained based on the lamp point image. The target information is used to evaluate the display quality of the target display area; and / or, the target information is used to correct the lamp points within the target display area.

[0161] In some embodiments, the imaging of at least some of the light spots arranged in the target display area in the light spot image being in a stuck state may include: the imaging of adjacent light spots in the light spot image being in a close-up state or an overlapping state.

[0162] In some embodiments, the overlap of the images of adjacent light points is between 10% and 80%; and / or the difference between the maximum and minimum brightness in the light point image is between 10% and 50%; and / or the difference between the maximum and minimum grayscale in the light point image is between 10% and 50%; and / or the difference between the maximum and minimum DN value in the light point image is between 10% and 50%.

[0163] In some embodiments, the target display area includes multiple splicing units, and the target information is also used to correct the gaps between the multiple splicing units.

[0164] In some embodiments, the target information includes correction information for the light spots within the target display area, and the correction information for the light spots is also used to correct the gaps between multiple splicing units.

[0165] In some embodiments, step S1520 may include: obtaining target information from the light spot image based on the light spot arrangement information of the target display area.

[0166] In some embodiments, obtaining target information from the lamp image based on the lamp arrangement information of the target display area may include: determining the correspondence between the lamps in the target display area and the pixels in the lamp image based on the lamp arrangement information of the target display area; determining the optical information corresponding to the lamps in the target display area based on the correspondence between the lamps in the target display area and the pixels in the lamp image; and obtaining target information based on the optical information corresponding to the lamps in the target display area.

[0167] In some embodiments, determining the correspondence between the light spots in the target display area and the pixels in the light spot image based on the light spot arrangement information of the target display area may include: sampling the light spot image based on the light spot arrangement information of the target display area, so that the pixels in the sampled image correspond one-to-one with the light spots in the target display area.

[0168] In some embodiments, Figure 15 The method may further include: acquiring a calibration image of the target display area, wherein the calibration image is used to divide the target display area into multiple partitions; step S1520 may include: acquiring target information based on the light spot image and the calibration image.

[0169] In some embodiments, the light spot image includes a first light spot image and a second light spot image, the first light spot image and the second light spot image corresponding to light spots of different colors within the target display area, and the calibration image includes a first calibration image corresponding to the first light spot image and a second calibration image corresponding to the second light spot image, wherein the first calibration image and the second calibration image are different.

[0170] In some embodiments, the calibration image includes multiple patterns corresponding to multiple partitions, and the multiple patterns are alternating patterns of light and dark.

[0171] In some embodiments, the plurality of partitions are all rectangular in shape.

[0172] In some embodiments, obtaining target information based on the lamp point image and the calibration image may include: dividing the lamp point image into multiple images corresponding one-to-one with multiple partitions based on the calibration image; determining the optical information corresponding to the multiple partitions based on the multiple images; and obtaining target information based on the optical information corresponding to the multiple partitions.

[0173] In some embodiments, the plurality of images includes a first image, the plurality of partitions includes a first partition corresponding to the first image, and determining the optical information corresponding to the plurality of partitions based on the plurality of images may include: determining the correspondence between the light points in the first partition and the pixels in the first image based on the light point arrangement information of the first partition; and determining the optical information corresponding to the light points in the first partition based on the correspondence between the light points in the first partition and the pixels in the first image.

[0174] In some embodiments, determining the correspondence between the light points in the first partition and the pixels in the first image based on the light point layout information of the first partition may include: sampling the first image based on the light point layout information of the first partition, such that the pixels in the sampled image correspond one-to-one with the light points in the first partition.

[0175] In some embodiments, prior to step S1520, Figure 15 The method may also include: performing a perspective transformation on the light spot image to correct the shape of the light spot image to a rectangle.

[0176] In some embodiments, Figure 15 The method may further include: presenting indication information on the image preview interface of the camera, the indication information being used to indicate the minimum size of the preview image of the light spot image.

[0177] In some embodiments, the indication information includes a rectangular area displayed on the image preview interface, and the indication information is used to indicate that the minimum size of the preview image needs to be greater than the size corresponding to the rectangular area.

[0178] In some embodiments, the lamp arrangement information may be resolution information.

[0179] In some embodiments, the optical information may include one or more of the following: luminous flux information, luminance information, and chromaticity information.

[0180] In some embodiments, the light image may include one or more of a blue light image, a red light image, a green light image, and a mixed color image.

[0181] In some embodiments, the display screen is an LED display screen, and the light points within the target display area are LED pixel lights.

[0182] Figure 16 This is a schematic diagram of an information acquisition apparatus according to an embodiment of this application. The apparatus 1600 may include components for performing... Figure 15 The method comprises modules. The device 1600 includes a first acquisition module 1610 and a second acquisition module 1620.

[0183] The first acquisition module 1610 can be used to acquire a lamp point image of a target display area of ​​the display screen. The target display area is part or all of the display area of ​​the display screen, and at least some of the lamp points within the target display area are in a state of adhesion in the lamp point image.

[0184] The second acquisition module 1620 can be used to acquire target information based on the light spot image. The target information is used to evaluate the display quality of the target display area; and / or, the target information is used to correct the light spots within the target display area.

[0185] In some embodiments, the imaging of at least some light spots in the light spot image is in a state of adhesion, including: the imaging of adjacent light spots in the light spot image is in a state of adjacency or overlap.

[0186] In some embodiments, the overlap of the images of adjacent light points is between 10% and 80%; and / or the difference between the maximum and minimum brightness in the light point image is between 10% and 50%; and / or the difference between the maximum and minimum grayscale in the light point image is between 10% and 50%; and / or the difference between the maximum and minimum DN value in the light point image is between 10% and 50%.

[0187] In some embodiments, the target display area includes a plurality of splicing units, and the target information is further used to correct the gaps between the plurality of splicing units.

[0188] In some embodiments, the target information includes correction information for the light spots within the target display area, and the correction information for the light spots is also used to correct the gaps between the plurality of splicing units.

[0189] In some embodiments, the second acquisition module 1620 may be used to: acquire the target information from the light spot image based on the light spot arrangement information of the target display area.

[0190] In some embodiments, the second acquisition module 1620 may be used to: determine the correspondence between the light spots in the target display area and the pixels in the light spot image based on the light spot arrangement information of the target display area; determine the optical information corresponding to the light spots in the target display area based on the correspondence between the light spots in the target display area and the pixels in the light spot image; and acquire the target information based on the optical information corresponding to the light spots in the target display area.

[0191] In some embodiments, the second acquisition module 1620 may be used to: sample the light spot image according to the light spot arrangement information of the target display area, so that the pixels in the sampled image correspond one-to-one with the light spots in the target display area.

[0192] In some embodiments, the first acquisition module 1610 can also be used to acquire a calibration image of the target display area, the calibration image being used to divide the target display area into multiple partitions. The second acquisition module 1620 can be used to acquire the target information based on the lamp point image and the calibration image.

[0193] In some embodiments, the light spot image includes a first light spot image and a second light spot image, the first light spot image and the second light spot image corresponding to light spots of different colors within the target display area, and the calibration image includes a first calibration image corresponding to the first light spot image and a second calibration image corresponding to the second light spot image, wherein the first calibration image and the second calibration image are different.

[0194] In some embodiments, the calibration image includes multiple patterns corresponding to the multiple partitions, and the multiple patterns are alternating patterns of light and dark.

[0195] In some embodiments, the plurality of partitions are all rectangular in shape.

[0196] In some embodiments, the second acquisition module 1620 may be used to divide the lamp point image into multiple images corresponding one-to-one with the multiple partitions according to the calibration image; determine the optical information corresponding to the multiple partitions according to the multiple images; and acquire the target information according to the optical information corresponding to the multiple partitions.

[0197] In some embodiments, the plurality of images includes a first image, and the plurality of partitions includes a first partition corresponding to the first image. The second acquisition module 1620 can be used to: determine the correspondence between the light points in the first partition and the pixels in the first image based on the light point arrangement information of the first partition; and determine the optical information corresponding to the light points in the first partition based on the correspondence between the light points in the first partition and the pixels in the first image.

[0198] In some embodiments, the second acquisition module 1620 may be used to: sample the first image according to the lamp layout information of the first partition, so that the pixels in the sampled image correspond one-to-one with the lamps in the first partition.

[0199] In some embodiments, the apparatus 1600 may further include a transformation module. The transformation module is used to perform a perspective transformation on the light spot image before acquiring target information based on the light spot image, so as to correct the shape of the light spot image to a rectangle.

[0200] In some embodiments, the device 1600 may further include a presentation module. The presentation module is used to present indication information on the camera's image preview interface, the indication information indicating the minimum size of the preview image of the light spot image.

[0201] In some embodiments, the indication information includes a rectangular area displayed on the image preview interface, and the indication information is used to indicate that the minimum size of the preview image needs to be greater than the size corresponding to the rectangular area.

[0202] In some embodiments, the lamp arrangement information is resolution information.

[0203] In some embodiments, the optical information includes one or more of the following: luminous flux information, luminance information, and chromaticity information.

[0204] In some embodiments, the light spot image includes one or more of a blue light image, a red light image, a green light image, and a mixed color image.

[0205] In some embodiments, the display screen is an LED display screen, and the light spots in the target display area are LED pixel lights.

[0206] Figure 17This is a schematic diagram of the structure of an information acquisition device provided in another embodiment of this application. Figure 17 The device 1700 may include a memory 1710 and a processor 1720. The memory 1710 may be used to store a program. The processor 1720 may be used to execute the program stored in the memory to perform actions such as... Figure 15 The method shown.

[0207] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0208] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0209] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0210] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0211] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can read, or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., digital video disc (DVD)), or a semiconductor medium (e.g., solid-state disk (SSD)).

[0212] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for acquiring information, characterized in that, include: The control of the lamps in the target display area of ​​the display screen is to be lit, wherein the target display area is part or all of the display area of ​​the display screen; The camera parameters of the camera are adjusted so that the images of at least some of the light points in the target display area are in a stuck state. After the camera parameters are adjusted, the camera is controlled to capture an image of the target display area to obtain a light spot image of the target display area. Based on the lamp image, target information is obtained without excluding the possibility of mutual interference between the lamps in the display screen. The target information is used to evaluate the display quality of the target display area; and / or, the target information is used to correct the lamps in the target display area. Wherein, the imaging of at least some of the light spots is in an adhered state, including: the imaging of adjacent light spots among the at least some light spots is in an adjacent state or an overlapping state.

2. The method according to claim 1, characterized in that, The overlap of the images of adjacent light points is between 10% and 80%; and / or The difference between the maximum and minimum brightness in the light spot image is between 10% and 50%; and / or The difference between the maximum and minimum gray levels in the light spot image is between 10% and 50%; and / or The difference between the maximum and minimum DN values ​​in the light spot image is between 10% and 50%.

3. The method according to claim 1, characterized in that, The target display area includes multiple splicing units, and the target information is also used to correct the gaps between the multiple splicing units.

4. The method according to claim 3, characterized in that, The target information includes the correction information of the light spots within the target display area, and the correction information of the light spots is also used to correct the gaps between the multiple splicing units.

5. The method according to claim 1, characterized in that, The step of obtaining target information based on the light spot image includes: The target information is obtained from the light spot image based on the light spot arrangement information of the target display area.

6. The method according to claim 5, characterized in that, The step of obtaining the target information from the light spot image based on the light spot arrangement information of the target display area includes: Based on the lamp arrangement information of the target display area, determine the correspondence between the lamps in the target display area and the pixels in the lamp image; Based on the correspondence between the light spots in the target display area and the pixels in the light spot image, the optical information corresponding to the light spots in the target display area is determined; The target information is obtained based on the optical information corresponding to the light spots within the target display area.

7. The method according to claim 6, characterized in that, Determining the correspondence between the light points in the target display area and the pixels in the light point image based on the light point arrangement information of the target display area includes: Based on the light dot arrangement information of the target display area, the light dot image is sampled so that the pixels in the sampled image correspond one-to-one with the light dots in the target display area.

8. The method according to claim 1, characterized in that, After adjusting the camera parameters, the method further includes: The target display area is controlled to display a calibration image, which is used to divide the target display area into multiple partitions; The camera is controlled to capture the calibration image, thereby obtaining a calibration image of the target display area; The step of obtaining target information based on the light spot image includes: The target information is obtained based on the light spot image and the calibration image.

9. The method according to claim 8, characterized in that, The light spot image includes a first light spot image and a second light spot image, the first light spot image and the second light spot image corresponding to light spots of different colors in the target display area, the calibration image includes a first calibration image corresponding to the first light spot image and a second calibration image corresponding to the second light spot image, the first calibration image and the second calibration image are different.

10. The method according to claim 8, characterized in that, The calibration image includes multiple patterns corresponding to the multiple partitions, and the multiple patterns are alternating patterns of light and dark.

11. The method according to claim 10, characterized in that, All of the partitions are rectangular in shape.

12. The method according to claim 8, characterized in that, The step of obtaining the target information based on the light spot image and the calibration image includes: Based on the calibration image, the light spot image is divided into multiple images that correspond one-to-one with the multiple partitions; Based on the multiple images, determine the optical information corresponding to the multiple partitions respectively; The target information is obtained based on the optical information corresponding to the multiple partitions.

13. The method according to claim 12, characterized in that, The plurality of images includes a first image, and the plurality of partitions includes a first partition corresponding to the first image. The step of determining the optical information corresponding to the multiple partitions based on the multiple images includes: Based on the light distribution information of the first partition, determine the correspondence between the light points in the first partition and the pixels in the first image. Based on the correspondence between the light points in the first partition and the pixels in the first image, the optical information corresponding to the light points in the first partition is determined.

14. The method according to claim 13, characterized in that, The step of determining the correspondence between the light points in the first partition and the pixels in the first image based on the light point layout information of the first partition includes: Based on the light distribution information of the first partition, the first image is sampled so that the pixels in the sampled image correspond one-to-one with the light points in the first partition.

15. The method according to claim 1, characterized in that, Before obtaining target information based on the light spot image, the method further includes: A perspective transformation is performed on the light spot image to correct its shape into a rectangle.

16. The method according to claim 1, characterized in that, The method further includes: The camera's image preview interface displays instruction information, which limits the size of the preview image of the light spot in the image preview interface.

17. The method according to claim 16, characterized in that, The indication information includes a rectangular area displayed on the image preview interface, and the indication information is used to indicate that the boundary of the preview image needs to reach or approach the boundary of the rectangular area.

18. The method according to claim 5, 6, 7, 13 or 14, characterized in that, The lamp arrangement information is resolution information.

19. The method according to any one of claims 1-17, characterized in that, The light image includes one or more of the following: blue light image, red light image, green light image, and mixed color image.

20. An evaluation / calibration system, characterized in that, include: A camera for capturing images on the display screen; An evaluation / calibration device for processing images captured by the camera to perform the method as described in any one of claims 1-19.

21. A method for acquiring information, characterized in that, include: Acquire a lamp point image of a target display area of ​​the display screen, wherein the target display area is part or all of the display area of ​​the display screen, and at least some of the lamp points in the target display area are in a stuck state in the lamp point image; Based on the lamp image, target information is obtained without excluding the possibility of mutual interference between the lamps in the display screen. The target information is used to evaluate the display quality of the target display area; and / or, the target information is used to correct the lamps in the target display area. Wherein, the imaging of at least some of the light spots in the light spot image is in a state of adhesion, including: the imaging of adjacent light spots in the light spot image is in a state of adjacency or overlap.

22. The method according to claim 21, characterized in that, The overlap of the images of adjacent light points is between 10% and 80%; and / or The difference between the maximum and minimum brightness in the light spot image is between 10% and 50%; and / or The difference between the maximum and minimum gray levels in the light spot image is between 10% and 50%; and / or The difference between the maximum and minimum DN values ​​in the light spot image is between 10% and 50%.

23. The method according to claim 21, characterized in that, The target display area includes multiple splicing units, and the target information is also used to correct the gaps between the multiple splicing units.

24. The method according to claim 23, characterized in that, The target information includes the correction information of the light spots within the target display area, and the correction information of the light spots is also used to correct the gaps between the multiple splicing units.

25. The method according to claim 21, characterized in that, The step of obtaining target information based on the light spot image includes: The target information is obtained from the light spot image based on the light spot arrangement information of the target display area.

26. The method according to claim 25, characterized in that, The step of obtaining the target information from the light spot image based on the light spot arrangement information of the target display area includes: Based on the lamp arrangement information of the target display area, determine the correspondence between the lamps in the target display area and the pixels in the lamp image; Based on the correspondence between the light spots in the target display area and the pixels in the light spot image, the optical information corresponding to the light spots in the target display area is determined; The target information is obtained based on the optical information corresponding to the light spots within the target display area.

27. The method according to claim 26, characterized in that, Determining the correspondence between the light points in the target display area and the pixels in the light point image based on the light point arrangement information of the target display area includes: Based on the light dot arrangement information of the target display area, the light dot image is sampled so that the pixels in the sampled image correspond one-to-one with the light dots in the target display area.

28. The method according to claim 21, characterized in that, The method further includes: Obtain a calibration image of the target display area, the calibration image being used to divide the target display area into multiple partitions; The step of obtaining target information based on the light spot image includes: The target information is obtained based on the light spot image and the calibration image.

29. The method according to claim 28, characterized in that, The light spot image includes a first light spot image and a second light spot image, the first light spot image and the second light spot image corresponding to light spots of different colors in the target display area, the calibration image includes a first calibration image corresponding to the first light spot image and a second calibration image corresponding to the second light spot image, the first calibration image and the second calibration image are different.

30. The method according to claim 28, characterized in that, The calibration image includes multiple patterns corresponding to the multiple partitions, and the multiple patterns are alternating patterns of light and dark.

31. The method according to claim 30, characterized in that, All of the partitions are rectangular in shape.

32. The method according to claim 28, characterized in that, The step of obtaining the target information based on the light spot image and the calibration image includes: Based on the calibration image, the light spot image is divided into multiple images that correspond one-to-one with the multiple partitions; Based on the multiple images, determine the optical information corresponding to the multiple partitions respectively; The target information is obtained based on the optical information corresponding to the multiple partitions.

33. The method according to claim 32, characterized in that, The plurality of images includes a first image, and the plurality of partitions includes a first partition corresponding to the first image. The step of determining the optical information corresponding to the multiple partitions based on the multiple images includes: Based on the light distribution information of the first partition, determine the correspondence between the light points in the first partition and the pixels in the first image. Based on the correspondence between the light points in the first partition and the pixels in the first image, the optical information corresponding to the light points in the first partition is determined.

34. The method according to claim 33, characterized in that, The step of determining the correspondence between the light points in the first partition and the pixels in the first image based on the light point layout information of the first partition includes: Based on the light distribution information of the first partition, the first image is sampled so that the pixels in the sampled image correspond one-to-one with the light points in the first partition.

35. The method according to claim 21, characterized in that, Before obtaining target information based on the light spot image, the method further includes: A perspective transformation is performed on the light spot image to correct its shape into a rectangle.

36. The method according to claim 21, characterized in that, The method further includes: The camera's image preview interface displays instruction information that limits the size of the preview image of the light spot in the image preview interface.

37. The method according to claim 36, characterized in that, The indication information includes a rectangular area displayed on the image preview interface, and the indication information is used to indicate that the boundary of the preview image needs to reach or approach the boundary of the rectangular area.

38. The method according to claim 25, 26, 27, 33 or 34, characterized in that, The lamp arrangement information is resolution information.

39. The method according to any one of claims 21-37, characterized in that, The light image includes one or more of the following: blue light image, red light image, green light image, and mixed color image.

40. An apparatus for acquiring information, characterized in that, Includes a module for performing the method as described in any one of claims 21-39.

41. An apparatus for acquiring information, characterized in that, include: Memory, used to store programs; A processor for executing a program stored in the memory to perform the method as described in any one of claims 21-39.

42. A computer-readable storage medium, characterized in that, It contains a program for performing the method as described in any one of claims 21-39.

43. A display screen control device, characterized in that, include: A memory for storing correction coefficients, said correction coefficients being obtained based on target information, said target information being obtained based on the method of any one of claims 21-39; The processor is used to call the correction coefficients stored in the memory to calibrate the display screen.

Images