Visuometer brightness calibration method, visual field measurement method, system and storage medium

Abstract

The invention relates to a visibility meter brightness calibration method and system, a vision measurement method and system and a storage medium, and the method comprises the steps: displaying a calibration image in a visibility meter, obtaining a plurality of gray values when the calibration image is subjected to gray change, and obtaining a brightness value corresponding to each gray value; establishing a first mapping relation from the gray values to the brightness values according to the plurality of gray values and the corresponding brightness values; determining a second mapping relation from the brightness value to a visual sensitivity threshold value of the perimeter; according to the second mapping relation and the first mapping relation, gray values of the perimeter under different visual sensitivity thresholds are determined, and based on the gray values of the perimeter under different visual sensitivity thresholds, a third mapping relation for converting the gray values into the visual sensitivity thresholds is established; and the brightness calibration of the VR perimeter is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of perimeters, and in particular to a perimeter brightness calibration method, a visual field measurement method, a system and a storage medium. BACKGROUND

[0002] Visual field measurement is a standard method for evaluating the visual field of a patient, which is of great significance for the screening and diagnosis of ophthalmic diseases such as glaucoma. The standard automated perimeter (SAP) is the most commonly used device for visual field measurement at present, but the SAP is expensive and usually requires a stable and independent test environment. With the development of virtual reality (VR) technology, the perimeter based on VR headsets has become a new choice for visual field measurement, which reduces the cost and brings great convenience to patients, meeting the needs of patients for home measurement.

[0003] In clinical research, in order to facilitate understanding and intuitive correspondence with clinical scenarios, the perimeter usually uses decibel (dB) as the measurement unit of visual sensitivity threshold. In the process of visual field measurement using the perimeter, the brightness of the provided stimulus points is generally measured in nits. When calibrating the brightness of the standard perimeter, the brightness curve of the light source under different current or voltage parameters is usually measured by using a brightness meter, and the correspondence between the brightness value and the stimulus point sensitivity threshold is established according to the brightness curve. However, the VR-based perimeter uses the display screen of the VR headset to provide light stimulation, and the brightness of the display screen is generally adjusted by brightness percentage, so the current and voltage parameters cannot be directly obtained, and therefore the brightness calibration method of the standard perimeter cannot be directly used.

[0004] In view of the problem that there is a lack of brightness calibration method for VR perimeter in the related art, no effective solution has been proposed so far. SUMMARY

[0005] A perimeter brightness calibration method, a visual field measurement method, a system and a storage medium are provided in the embodiments to solve the problem that there is a lack of brightness calibration method for VR perimeter in the related art.

[0006] In a first aspect, a perimeter brightness calibration method is provided in the embodiments, comprising:

[0007] displaying a calibration image in the perimeter, obtaining a plurality of gray values when the calibration image changes in gray scale, and obtaining a brightness value corresponding to each gray value;

[0008] establishing a first mapping relationship from the gray value to the brightness value according to the plurality of gray values and the corresponding brightness values;

[0009] determine a second mapping relationship from the luminance value to the visual acuity threshold of the perimetry;

[0010] determine a gray value of the perimetry under different visual acuity thresholds according to the second mapping relationship and the first mapping relationship, and establish a third mapping relationship from the gray value to the visual acuity threshold based on the gray value of the perimetry under different visual acuity thresholds.

[0011] In some embodiments, displaying a calibration image in the perimetry, acquiring a plurality of gray values when the calibration image is subjected to gray change, and acquiring a luminance value corresponding to each gray value, comprises:

[0012] sending an instruction to the perimetry to control the perimetry to display the calibration image and adjust the gray value of the calibration image multiple times;

[0013] after adjusting the gray value of the calibration image each time, adjusting the position of the probe of the luminance meter to match the exit pupil of the perimetry, and acquiring a luminance value measured by the luminance meter under the corresponding gray value.

[0014] In some embodiments, determining a second mapping relationship from the luminance value to the visual acuity threshold of the perimetry, comprises:

[0015] acquiring a preset constraint relationship from the luminance value to the visual acuity threshold, and a maximum luminance value of the calibration image;

[0016] determining the second mapping relationship according to the preset constraint relationship and the maximum luminance value.

[0017] In some embodiments, determining a gray value of the perimetry under different visual acuity thresholds according to the second mapping relationship and the first mapping relationship, and establishing a third mapping relationship from the gray value to the visual acuity threshold based on the gray value of the perimetry under different visual acuity thresholds, comprises:

[0018] determining a luminance value of the perimetry under different visual acuity thresholds according to the second mapping relationship;

[0019] determining a gray value corresponding to the luminance value of the perimetry under different visual acuity thresholds according to the inverse function of the first mapping relationship;

[0020] establishing a third mapping relationship from the gray value to the visual acuity threshold according to the luminance value of the perimetry under different visual acuity thresholds and the gray value corresponding to the luminance value.

[0021] In some embodiments, determining the gray value corresponding to the luminance value of the perimeter at different visual acuity thresholds according to the inverse function of the first mapping relationship comprises:

[0022] Rounding the value obtained by solving the inverse function of the first mapping relationship to obtain the gray value corresponding to the luminance value of the perimeter at different visual acuity thresholds.

[0023] In some embodiments, after determining the gray value corresponding to the luminance value of the perimeter at different visual acuity thresholds according to the inverse function of the first mapping relationship; and according to the luminance value of the perimeter at different visual acuity thresholds and the gray value corresponding to the luminance value, the method further comprises:

[0024] According to the luminance value of the perimeter at different visual acuity thresholds and the gray value corresponding to the luminance value, a fourth mapping relationship from gray value to luminance value is established.

[0025] When the first mapping relationship is similar to the fourth mapping relationship, it is determined that the luminance calibration of the perimeter is successful.

[0026] In some embodiments, when the first mapping relationship is similar to the third mapping relationship, it is determined that the luminance calibration of the perimeter is successful, comprising:

[0027] When the correlation coefficient of the first mapping relationship and the fourth mapping relationship does not deviate from the preset parameter by more than a threshold value, it is determined that the first mapping relationship is similar to the fourth mapping relationship.

[0028] In a second aspect, a perimeter measurement method is provided in the present embodiment, comprising:

[0029] In response to a preset gray value and a first mapping relationship from gray value to luminance value, determining the luminance value corresponding to the gray value according to the first mapping relationship, and controlling the luminance of the display screen in the perimeter according to the luminance value.

[0030] When the perimeter completes the measurement, according to a third mapping relationship from gray value to sensitivity threshold, the sensitivity threshold corresponding to the current gray value of the perimeter is output to the test report of the perimeter.

[0031] In a third aspect, a perimeter measurement system is provided in the present embodiment, comprising: a perimeter, a luminance meter and a processor, the processor is connected with the perimeter and the luminance meter respectively; wherein,

[0032] The perimeter is used for measuring the visual field;

[0033] The luminance meter is used for measuring the luminance value of the visual field;

[0034] The processor is configured to execute the method of the first aspect or the second aspect.

[0035] In a fourth aspect, a computer readable storage medium is provided, and the computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the method of the first aspect or the second aspect.

[0036] The perimetry brightness calibration method, the perimetry measurement method, the system and the storage medium, by displaying a calibration image in the perimetry, obtaining a plurality of gray values when the calibration image changes in gray scale, and obtaining the brightness values corresponding to each gray value; according to the plurality of gray values and the corresponding brightness values, a first mapping relationship from the gray value to the brightness value is established; a second mapping relationship from the brightness value to the visual sensitivity threshold of the perimetry is determined; according to the second mapping relationship and the first mapping relationship, the gray values of the perimetry under different visual sensitivity thresholds are determined, and based on the gray values of the perimetry under different visual sensitivity thresholds, a third mapping relationship from the gray value to the visual sensitivity threshold is established; solve the problem of lack of brightness calibration method for VR perimetry in related technology.

[0037] The details of one or more embodiments of the present application are presented in the following drawings and description to make other features, objects and advantages of the present application more clear and easy to understand. BRIEF DESCRIPTION OF DRAWINGS

[0038] The accompanying drawings illustrated herein are used to provide further understanding of the present application, and constitute a part of the present application. The illustrative embodiments of the present application and their description are used to explain the present application, and do not constitute an improper limitation on the present application. In the drawings:

[0039] Figure 1 It is a hardware structure block diagram of the terminal for the perimetry brightness calibration method in an embodiment;

[0040] Figure 2 It is a structure block diagram of the perimetry measurement system in an embodiment;

[0041] Figure 3 It is a flowchart of the perimetry brightness calibration method in an embodiment;

[0042] Figure 4 It is a flowchart of the perimetry brightness calibration method based on VR in an embodiment;

[0043] Figure 5 It is a test result of the perimetry brightness calibration based on VR in an embodiment Figure 1 ;

[0044] Figure 6Test results for brightness calibration of a VR-based visual field monitor in one embodiment Figure 2 ;

[0045] Figure 7 Flowchart of a visual field measurement method in one embodiment

[0046] Figure 8 Internal structure diagram of a computer device in one embodiment. DETAILED DESCRIPTION

[0047] In order to more clearly understand the purpose, technical solutions and advantages of the present application, the present application is described and explained below in conjunction with the accompanying drawings and embodiments.

[0048] Unless otherwise defined, technical terms or scientific terms used in the present application shall have the general meaning understood by one of ordinary skill in the art to which the present application belongs. In the present application, "one", "a", "an", "the", "these" and similar words do not represent a quantitative limitation, but can be singular or plural. In the present application, the terms "include", "contain", "have" and any variants thereof are intended to cover non-exclusive inclusion; for example, a process, method and system, product or device containing a series of steps or modules (units) are not limited to the listed steps or modules (units), but can include steps or modules (units) not listed, or can include other steps or modules (units) inherent to the process, method, product or device. In the present application, the terms "connected", "connected", "coupled" and similar words are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. In the present application, "multiple" means two or more. The association between the associated objects is described as "and / or", which means that there can be three relationships, for example, "A and / or B" can mean that A exists alone, A and B exist together, and B exists alone. In general, the character " / " represents an "or" relationship between the objects before and after it. In the present application, the terms "first", "second", "third" and the like are only used to distinguish similar objects, and do not represent a specific order for the objects.

[0049] The method embodiments provided in the present embodiment can be executed in a terminal, a computer or a similar computing device. For example, the method embodiments are executed on a terminal, Figure 1 is a hardware structure block diagram of a terminal of a visual field monitor brightness calibration method according to an embodiment of the present application. As shown in Figure 1 The terminal can include one or more (processors) (CPUs) (1), memories (2), power supplies (3), input devices (4), and output devices (5), as shown in Figure 1Only one is shown in the diagram. A processor 101 and a memory 102 for storing data are also shown. The processor 101 may include, but is not limited to, a microprocessor (MCU) or a programmable logic device (FPGA). The terminal may also include a transmission device 103 for communication functions and an input / output device 104. Those skilled in the art will understand that… Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the terminal described above. For example, the terminal may also include components that are larger than... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown are illustrated.

[0050] The memory 102 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the field of view luminance calibration method in this embodiment. The processor 101 executes various functional applications and data processing by running the computer program stored in the memory 102, thereby implementing the above-described method. The memory 102 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 102 may further include memory remotely located relative to the processor 101, and these remote memories can be connected to the terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0051] The transmission device 103 is used to receive or send data via a network. This network includes a wireless network provided by the terminal's communication provider. In one example, the transmission device 103 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 103 can be a Radio Frequency (RF) module used for wireless communication with the Internet.

[0052] In one embodiment, a field-of-view measurement system is provided. Figure 2 This is a structural block diagram of the field of view measurement system of this embodiment. The system includes: a field of view meter, a luminance meter, and a processor. The processor is connected to the field of view meter and the luminance meter respectively. The field of view meter is used to measure the field of view; the luminance meter is used to measure the luminance value of the field of view; and the processor is used to execute the luminance calibration method of the field of view meter.

[0053] The perimeter can include a display screen that adjusts the stimulus luminance by modifying the gray scale of the display screen. Optionally, the perimeter can be a VR perimeter that utilizes the display screen of a VR headset to provide the light stimulus, and the luminance of the display screen can be adjusted by the processor to control the luminance percentage.

[0054] Perimetry is generally performed in the presence of background light, and the so-called light threshold refers to the difference between the luminance of the stimulus light and the luminance of the background light when the stimulus light just causes a visual sensation. The traditional standard perimeter generally projects a circular white stimulus onto a white background, in which the luminance of the background is lower than that of the stimulus. Whether the stimulus or the background luminance changes is achieved by adjusting the luminance of an adjustable light source. In this case, after measuring the luminance curve of the light source under different current or voltage parameters using a luminometer, a corresponding relationship between the luminance value and the sensitivity threshold of the stimulus point can be established.

[0055] In the process of perimetry using a perimeter with a display screen, the luminance of the stimulus point provided is generally measured in nits, and when adjusting the luminance of the stimulus through a computer program, it is generally achieved by modifying the gray scale of the display screen. When a VR-based perimeter utilizes the display screen of a VR headset to provide light stimulus, the luminance of the display screen is generally adjusted by the luminance percentage, and the current and voltage parameters cannot be directly obtained, so the standard perimeter luminance calibration method cannot be directly used. Therefore, in order to accurately measure the sensitivity threshold of the patient's visual field, it is necessary to accurately calibrate the luminance representation of the perimeter in different units. In the present embodiment, the luminance value can be specifically represented by nits, and unless otherwise stated, the luminance value and nits can be interchangeable.

[0056] Figure 3 A flowchart of the perimeter luminance calibration method of the present embodiment is provided. It should be noted that the perimeter luminance calibration method provided in the present embodiment is applicable to a perimeter that provides stimulus luminance through a display screen (such as a VR perimeter). As shown in FIG. 1, the flowchart includes the following steps: Figure 3

[0057] Step S101, displaying a calibration image in the perimeter, obtaining a plurality of gray scale values when the calibration image is changed in gray scale, and obtaining luminance values corresponding to each gray scale value.

[0058] A pre-designed calibration image is presented on the display screen of the perimeter, and the image gray scale value D is adjusted multiple times. After the images with different gray scale values are rendered and presented on the display screen, the corresponding luminance values are also different. When the gray scale value is 0, the luminance is the lowest, i.e., the luminance value is the smallest; when the gray scale value is 255, the luminance is the highest, i.e., the luminance value is the largest.

[0059] ​In one embodiment, the processor sends instructions to the visual field monitor to control the visual field monitor to display the calibration image and to adjust the grayscale value of the calibration image multiple times; after each adjustment of the grayscale value of the calibration image, the luminance value measured by the luminance meter at the corresponding grayscale value is obtained based on the luminance meter. In this embodiment, the processor controls the visual field monitor to display the calibration image and to adjust the grayscale value of the image multiple times. After each adjustment of the grayscale value of the image, the luminance value at the state is measured by the luminance meter, and the luminance value measured by the luminance meter is sent to the processor. For example, when the grayscale value of the calibration image is 0, the maximum luminance value L min that the visual field monitor can present is measured by the luminance meter. max .

[0060] Optionally, after each adjustment of the grayscale value of the calibration image, the position of the probe of the luminance meter is adjusted to match the position of the exit pupil of the visual field monitor when the luminance value at the corresponding grayscale value is measured based on the luminance meter. In this way, it is ensured that the measured luminance is the true stimulus luminance of the visual field monitor.

[0061] In step S102, the first mapping relationship from the grayscale value to the luminance value is established according to the plurality of grayscale values and the corresponding luminance values.

[0062] The grayscale value and the luminance value of each calibration image correspond to each other and are transmitted to the processor, thereby establishing the mapping relationship from the grayscale value to the luminance value.

[0063] In one embodiment, the processor fits the plurality of grayscale values and the corresponding luminance values to establish the first mapping relationship, wherein the fitting method includes a gamma calibration method or a spline fitting method. For example, in the gamma calibration method, the mapping relationship between the grayscale value and the luminance value can be represented as L = D γ , where L represents the luminance value, D represents the grayscale value, and γ (gamma) is about 2.2. In addition to the gamma calibration, a spline fitting method can also be used, that is, a low-order polynomial is used as the fitting curve of each grayscale distribution segment, and these segmented polynomial curves have certain smoothness at the boundary points. It should be noted that the fitting function of the grayscale value and the luminance value is not limited to the above form.

[0064] In step S103, the second mapping relationship from the luminance value to the visual sensitivity threshold of the visual field monitor is determined.

[0065] The visual sensitivity threshold refers to the sensitivity of the visual field monitor at a certain stimulus luminance, which can be expressed in decibels as dB = 10*log(L maxL). In one embodiment, a preset constraint relationship from the luminance value to the visual sensitivity threshold value and a maximum luminance value of the calibration image can be acquired first; and the second mapping relationship is determined according to the preset constraint relationship and the maximum luminance value. The preset constraint relationship is dB = 10*log(L max / L), where dB represents the visual sensitivity threshold value, L max represents the maximum luminance value of the calibration image, and L represents the actual stimulus luminance, that is, the stimulus luminance minus the background luminance. When the background luminance is 0, the actual stimulus luminance is equal to the stimulus luminance. 0dB indicates that the perimeter provides the maximum luminance at this time, which means the complete loss of the patient's visual field. In this embodiment, the sensitivity of the perimeter at a certain stimulus luminance.

[0066] The sensitivity corresponding to the maximum luminance (i.e., the maximum luminance value) of the perimeter is defined as 0dB, that is, when the perimeter measures the light threshold value of a certain site of the visual field as the maximum luminance of the perimeter, the light sensitivity of the site is defined as 0dB. dB is a relative unit, and its size depends on the model of the perimeter, more specifically, depends on the maximum stimulus luminance of the perimeter.

[0067] In step S104, the gray value of the perimeter at different visual sensitivity threshold values is determined according to the second mapping relationship and the first mapping relationship, and a third mapping relationship from the gray value to the visual sensitivity threshold value is established based on the gray value of the perimeter at different visual sensitivity threshold values.

[0068] The luminance value of the perimeter at different visual sensitivity threshold values can be determined according to the second mapping relationship first; then the gray value corresponding to the luminance value of the perimeter at different visual sensitivity threshold values is determined according to the inverse function of the first mapping relationship; and the third mapping relationship from the gray value to the visual sensitivity threshold value is established according to the luminance value of the perimeter at different visual sensitivity threshold values and the gray value corresponding to the luminance value. In this embodiment, the sensitivity threshold value is in units of dB during the visual field measurement of the perimeter and in the measurement report output after the measurement, so the provided stimulus luminance also needs to be in units of dB. However, when the processor adjusts the stimulus luminance of the perimeter, it cannot be directly in units of dB, but needs to be converted to the gray value. The conversion from dB to nit can be calculated by L = L max / 10 dB / 10 , and the conversion from nit to gray value can be realized by the inverse function of the first mapping relationship from the gray value to the luminance value obtained in step S102.

[0069] Further, the numerical value obtained by solving the inverse function of the first mapping relationship is rounded to obtain the gray value corresponding to the luminance value of the perimeter at different visual sensitivity thresholds. Since the gray value is usually represented by an 8-bit integer, rounding is required after solving the inverse function. The rounding methods include but are not limited to rounding up and rounding down.

[0070] In the above steps S101 to S104, for a perimeter such as a VR perimeter with a display screen, the luminance mapping relationship among the gray value, the luminance value and the visual sensitivity threshold in three different units is established to obtain the sensitivity threshold representation of the perimeter, thereby improving the effectiveness of the visual field measurement and accurately realizing the luminance calibration of the perimeter.

[0071] In one embodiment, in step S104, the gray value corresponding to the luminance value of the perimeter at different visual sensitivity thresholds is determined according to the inverse function of the first mapping relationship; after the luminance value of the perimeter at different visual sensitivity thresholds and the gray value corresponding to the luminance value are obtained, the method further comprises:

[0072] Step S105, a fourth mapping relationship from the gray value to the luminance value is established according to the luminance value of the perimeter at different visual sensitivity thresholds and the gray value corresponding to the luminance value; when the first mapping relationship is similar to the fourth mapping relationship, it is determined that the luminance calibration of the perimeter is successful.

[0073] In this embodiment, the gray value and the luminance value obtained in step S101 are defined as a test set, and the gray value and the luminance value obtained in step S104 are defined as a validation set. The fourth mapping relationship is established based on the validation set, and the first mapping relationship is established based on the test set. Since the numerical value obtained by solving the inverse function of the first mapping relationship is rounded, the first mapping relationship and the fourth mapping relationship are not exactly the same. In order to ensure the accuracy of the luminance calibration, only when the fitting curves of the first mapping relationship and the fourth mapping relationship are similar, it can be considered that the luminance calibration is successful. Similarity measurement methods (such as correlation coefficient, MSE, DTW, etc.) can be used to calculate the similarity between the first mapping relationship and the fourth mapping relationship. A preset condition is set, for example, when the correlation coefficient of the first mapping relationship and the fourth mapping relationship is not more than a threshold from 1, it is determined that the first mapping relationship and the fourth mapping relationship are similar, and it is considered that the luminance calibration of the perimeter is successful, that is, the device can accurately reflect the change of the environmental luminance; otherwise, the calibration fails, and further adjustment or optimization of the calibration process is required.

[0074] In one embodiment, a VR-based perimeter luminance calibration method is provided. Figure 4 The flowchart of the VR-based perimeter luminance calibration method of this embodiment is shown in Figure 4 The flowchart includes the following steps:

[0075] Step S201, using a processor to control the visual field meter to display the calibration image, and adjust the image gray value multiple times. The image with different gray values is rendered and presented on the display screen, and the corresponding brightness value L is also different. The brightness is the lowest when the gray value is 0, and the L is the smallest. The brightness is the highest when the gray value is 255, and the L is the largest.

[0076] Step S202, after adjusting the image gray value each time, the brightness value in this state is obtained by using the brightness meter. When measuring the brightness, it is necessary to ensure that the brightness meter probe matches the pupil position of the VR-based visual field meter, so as to ensure that the measured brightness is the real stimulus brightness of the visual field meter.

[0077] Step S203, when the gray value of the calibration image is 0, the maximum brightness L that the VR visual field meter can present is measured by using the brightness meter. min .

[0078] Step S204, when the gray value of the calibration image is 255, the maximum brightness L that the VR visual field meter can present is measured by using the brightness meter. max .

[0079] Step S205, the gray value of each calibration image and the brightness value are one-to-one corresponding and transmitted to the processor.

[0080] Step S206, the processor fits the multiple gray values and the corresponding brightness values to establish the first mapping relationship from the gray value to the brightness value. The fitting method takes the gamma calibration method as an example, and the mapping relationship between the gray value and the brightness value can be represented as L=D γ .

[0081] 50Step S207, the second mapping relationship from the brightness value to the visual sensitivity threshold of the visual field meter is determined. The preset constraint relationship from the brightness value to the visual sensitivity threshold is obtained, and the maximum brightness value of the calibration image is obtained. According to the preset constraint relationship and the maximum brightness value, the second mapping relationship is determined.

[0082] 51Step S208, first, the brightness value of the visual field meter under different visual sensitivity thresholds is determined according to the second mapping relationship; then, the gray value corresponding to the brightness value of the visual field meter under different visual sensitivity thresholds is determined according to the inverse function of the first mapping relationship; finally, the third mapping relationship from the gray value to the visual sensitivity threshold is established according to the brightness value of the visual field meter under different visual sensitivity thresholds and the gray value corresponding to the brightness value. The value obtained by solving the inverse function of the first mapping relationship is rounded to obtain the gray value. The rounding methods include but are not limited to rounding up and rounding down.

[0083] 52. In step S209, the grayscale value and brightness value obtained in step S201 are defined as the test set, and the grayscale value and brightness value obtained in step S208 are defined as the verification set. If the two are not significantly different, the brightness calibration can be considered successful.

[0084] 53 Figure 5 and Figure 6 This is a test result diagram of the brightness calibration of the VR-based field of view meter in this embodiment, wherein, Figure 5 The curve represents the fit between luminance and gray values. The horizontal axis represents gray values, the vertical axis represents luminance values, and the three symbols in the upper left corner represent measured data, fitting data, and stimulus data, respectively. Figure 6 The curve (db vs Nit) represents the fit between the visual sensitivity threshold and the brightness value, where the horizontal axis represents the brightness value, the vertical axis represents the visual sensitivity threshold, and the symbol in the upper right corner represents the measurement data.

[0085] 54. In one embodiment, a method for measuring field of view is also provided. Figure 7 A flowchart of the field of view measurement method in this embodiment is provided, showing the method running on... Figure 2 Taking a field-of-view measurement system as an example, the process includes the following steps:

[0086] Step S301: In response to the preset grayscale value and the first mapping relationship from grayscale value to brightness value, determine the brightness value corresponding to the grayscale value according to the first mapping relationship, and control the brightness of the display screen in the field of view meter according to the brightness value.

[0087] 55. In this embodiment, the perimeter provides stimulation brightness via a display screen, such as a VR perimeter. After the perimeter is calibrated using the perimeter brightness calibration method of any of the above embodiments, the brightness of the display screen in the perimeter is controlled according to the brightness value before visual field measurement of the patient. The first mapping relationship is generated by displaying a calibration image in the perimeter, obtaining multiple grayscale values ​​when the calibration image undergoes grayscale changes, and obtaining the brightness value corresponding to each grayscale value. The specific establishment process can be referred to the description in the foregoing embodiments, and will not be repeated here.

[0088] Step S302: After the field of view meter completes the measurement, according to the third mapping relationship from gray value to sensitivity threshold, the sensitivity threshold corresponding to the current gray value of the field of view meter is output to the field of view meter test report.

[0089] 57The decibel (dB) can be used as the measurement unit of the visual sensitivity threshold. After the perimetry visual field measurement is completed, the sensitivity threshold is output to the test report of the perimeter, which is easy for doctors to understand and can be directly corresponding to the clinical scene.

[0090] 58The third mapping relationship is determined by determining the second mapping relationship from the luminance value to the visual sensitivity threshold of the perimeter. According to the second mapping relationship and the first mapping relationship, the gray value of the perimeter under different visual sensitivity thresholds is determined, and the third mapping relationship is established based on the gray value of the perimeter under different visual sensitivity thresholds. The specific establishment process can be referred to the description of the foregoing embodiments, which will not be described here.

[0091] 59In this embodiment, the perimeter is calibrated by the perimeter luminance calibration method of any of the foregoing embodiments. The effectiveness of the visual field measurement can be improved based on the calibrated perimeter for the patient. The sensitivity threshold is output to the test report of the perimeter, which is convenient for doctors to observe the visual field measurement results and clinical research.

[0092] 60In addition, in combination with the perimeter luminance calibration method and / or the visual field measurement method provided in the foregoing embodiments, a storage medium can also be provided in this embodiment to realize. The storage medium has a computer program stored thereon. The computer program is executed by the processor to implement any of the perimeter luminance calibration method and / or the visual field measurement method in the foregoing embodiments.

[0093] 61In one embodiment, a computer device is provided, which can be a terminal, and its internal structure diagram can be as shown in Figure 8 The computer device includes a processor, a memory, a communication interface, a display unit and an input device connected by a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The communication interface of the computer device is used for wired or wireless communication with external terminals. The wireless mode can be realized by WIFI, mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by the processor to implement a perimeter luminance calibration method and / or a visual field measurement method. The display unit of the computer device can be a liquid crystal display unit or an electronic ink display unit. The input device of the computer device can be a touch layer overlaid on the display unit, or a key, trackball or touchpad arranged on the shell of the computer device. It can also be an external keyboard, touchpad or mouse, etc.

[0094] 62Those skilled in the art can understand that,Figure 8 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0095] 63It should be understood that the specific embodiments described above are only used to explain the related application, and not to limit it. According to the embodiments provided in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor are within the scope of protection of the present application.

[0096] 64Obviously, the drawings are only some examples or embodiments of the present application, and those of ordinary skill in the art can also apply the present application to other similar situations according to the drawings without creative labor. In addition, it can be understood that although the work done in the development process can be complex and long, some design, manufacture or production changes made by those of ordinary skill in the art according to the technical content disclosed in the present application are only routine technical means and should not be regarded as insufficient disclosure of the present application.

[0097] 65The word "embodiment" in the present application refers to the specific features, structures or characteristics described in conjunction with the embodiments can be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily mean the same embodiment, nor does it mean independence or alternatives to other embodiments. Those of ordinary skill in the art can clearly or implicitly understand that the embodiments described in the present application can be combined with other embodiments without conflict.

[0098] 66It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or fully authorized by all parties. The acquisition, storage, use, processing, etc. of data involved in the embodiments of the present application comply with the relevant provisions of national laws and regulations.

[0099] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiment methods. Any reference to memory, database or other medium used in the embodiments provided by the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided by the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided by the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0100] The above-mentioned embodiments only express several implementation manners of the present application, and the description is relatively specific and detailed, but it should not be understood as a limitation on the scope of patent protection. It should be noted that for those skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are all within the scope of protection of the present application. Therefore, the scope of protection of the present application should be subject to the appended claims.

Claims

1. A method for calibrating the brightness of a field of view meter, characterized in that, include: Display a calibration image in a field of view meter, acquire multiple gray values ​​when the calibration image undergoes grayscale changes, and acquire the brightness value corresponding to each gray value; Based on the multiple grayscale values ​​and their corresponding brightness values, a first mapping relationship is established from grayscale values ​​to brightness values. Determine a second mapping relationship from luminance values ​​to the visual sensitivity threshold of the perimeter; Based on the second mapping relationship and the first mapping relationship, the grayscale value of the perimeter under different visual sensitivity thresholds is determined, and based on the grayscale value of the perimeter under different visual sensitivity thresholds, a third mapping relationship is established to convert the grayscale value to the visual sensitivity threshold.

2. The method for calibrating the brightness of a field of view meter according to claim 1, characterized in that, Display a calibration image in a field of view meter, acquire multiple grayscale values ​​of the calibration image as it undergoes grayscale changes, and acquire the brightness value corresponding to each grayscale value, including: Send instructions to the perimeter to control the perimeter to display the calibration image, and adjust the grayscale value of the calibration image multiple times; After each adjustment of the grayscale value of the calibration image, the probe of the luminance meter is adjusted to match the exit pupil position of the perimeter, and the luminance value measured at the corresponding grayscale value is obtained based on the luminance meter.

3. The method for calibrating the brightness of a field of view meter according to claim 1, characterized in that, Determining a second mapping relationship from luminance values ​​to the visual sensitivity threshold of the perimeter includes: Obtain the preset constraint relationship for converting brightness values ​​to visual sensitivity thresholds, as well as the maximum brightness value of the calibrated image; The second mapping relationship is determined based on the preset constraint relationship and the maximum brightness value.

4. The method for calibrating the brightness of a field of view meter according to claim 1, characterized in that, Based on the second mapping relationship and the first mapping relationship, the grayscale values ​​of the perimeter at different visual sensitivity thresholds are determined, and based on the grayscale values ​​of the perimeter at different visual sensitivity thresholds, a third mapping relationship is established from grayscale values ​​to visual sensitivity thresholds, including: Based on the second mapping relationship, the brightness values ​​of the perimeter at different visual sensitivity thresholds are determined; Based on the inverse function of the first mapping relationship, determine the grayscale value corresponding to the brightness value of the perimeter under different visual sensitivity thresholds; Based on the brightness values ​​of the perimeter at different visual sensitivity thresholds and the corresponding gray values, a third mapping relationship is established from gray values ​​to visual sensitivity thresholds.

5. The method for calibrating the brightness of a field of view meter according to claim 4, characterized in that, Based on the inverse function of the first mapping relationship, the grayscale values ​​corresponding to the brightness values ​​of the perimeter at different visual sensitivity thresholds are determined, including: The numerical value obtained by solving the inverse function of the first mapping relationship is rounded to obtain the gray value corresponding to the brightness value of the perimeter at different visual sensitivity thresholds.

6. The method for calibrating the brightness of a field of view meter according to claim 4, characterized in that, Based on the inverse function of the first mapping relationship, the grayscale value corresponding to the brightness value of the perimeter under different visual sensitivity thresholds is determined; Based on the brightness values ​​of the perimeter at different visual sensitivity thresholds and the corresponding grayscale values, the method further includes: Based on the brightness values ​​of the perimeter at different visual sensitivity thresholds and the corresponding gray values ​​of the brightness values, a fourth mapping relationship is established from gray values ​​to brightness values. When the first mapping relationship is similar to the fourth mapping relationship, the luminance calibration of the field of view meter is determined to be successful.

7. The method for calibrating the brightness of a field of view meter according to claim 6, characterized in that, When the first mapping relationship is similar to the fourth mapping relationship, the perimeter brightness calibration is determined to be successful, including: When the difference between the correlation coefficient of the first mapping relationship and the fourth mapping relationship and the preset parameter does not exceed a threshold, the first mapping relationship and the fourth mapping relationship are determined to be similar.

8. A method for measuring field of view, characterized in that, include: In response to a preset grayscale value and a first mapping relationship from grayscale value to brightness value, the brightness value corresponding to the grayscale value is determined according to the first mapping relationship, and the brightness of the display screen in the field of view meter is controlled according to the brightness value; After the perimeter completes the measurement, based on the third mapping relationship from grayscale value to sensitivity threshold, the sensitivity threshold corresponding to the current grayscale of the perimeter is output to the perimeter's test report.

9. A field of view measurement system, characterized in that, include: The system includes a field of view meter, a luminance meter, and a processor, wherein the processor is connected to the field of view meter and the luminance meter, respectively; wherein... The perimeter is used to measure the field of vision; The luminance meter is used to measure the luminance value of the field of view; The processor is used to perform the method according to any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 8.

Images