Fixation system calibration method, device, terminal equipment and storage medium

Abstract

This application discloses a fixation system calibration method, apparatus, terminal device, and storage medium. The fixation system calibration method includes: obtaining debugging data; and outputting the debugging data and calibration standard data, so that a user can calibrate the fixation system based on the debugging data and the calibration standard data. This method eliminates errors caused by manual debugging of the fixation system and improves the accuracy of fixation system calibration.

Description

Technical Field

[0001] The present application relates to the technical field of instrument calibration, and in particular to a fixation system calibration method, apparatus, terminal device, and storage medium. Background Art

[0002] With the development of optometry technology, people are increasingly paying attention to vision control. Computerized ophthalmometers, corneal topography, biometers, refractive topographs, myopia control training devices, and other refractive measurement and vision control equipment are emerging in an endless stream, providing services for vision measurement and control.

[0003] During visual control and measurement, the primary concern is the human eye's ability to automatically adjust. This ability will directly affect the results of refractive error tests, and abnormalities in the eye's ability to adjust are often the cause of refractive errors. When using refractive measurement equipment, it is necessary to suppress the eye's ability to automatically adjust, keeping the eye in a naturally relaxed state as much as possible, and reducing measurement errors caused by eye adjustment. Currently, most refractive measurement devices use the automatic fogging method, which adjusts the fixation system to provide optical compensation corresponding to the eye being tested, allowing the eye to clearly see the fixation pattern before fogging to achieve eye relaxation. The fogging function of visual control equipment can be used to control the image in the human eye's field of view to cycle between clear and blurry, causing the ciliary muscle to undergo a tightening and relaxing adjustment movement, increasing the eye's ability to adjust.

[0004] To achieve these functions, precise control of the fixation system is required. Currently, fixation systems are mostly manually debugged and judged, which is subjective and cannot distinguish images with small refractive intervals. It is not suitable for debugging equipment with high precision requirements.

[0005] Therefore, it is necessary to propose a solution that can accurately calibrate the accuracy of the fixation system. Summary of the Invention

[0006] The main purpose of this application

[0007] The purpose is to provide a fixation system calibration method, device, terminal equipment and storage medium, aiming to solve the errors caused by manual debugging of the fixation system and improve the accuracy of fixation system calibration.

[0008] To achieve the above objectives, the present application provides a fixation system calibration method, which is applied to a fixation system calibration system. The fixation system calibration method includes:

[0009] Get debug data;

[0010] The debugging data and the calibration standard data are outputted so that a user can calibrate the fixation system according to the debugging data and the calibration standard data.

[0011] Optionally, the fixation system calibration system includes: a fixation system and a detection optical module, and the step of obtaining the debugging data includes:

[0012] adjusting the position of the fixation mark in the fixation system, and obtaining a plurality of debugging images formed by the fixation mark pattern projected by the fixation mark after passing through the optical elements in the fixation system and the detection optical module;

[0013] The plurality of debugging images are analyzed to obtain debugging data of the fixation system.

[0014] Optionally, the step of analyzing the multiple debugging images to obtain debugging data of the fixation system includes:

[0015] Analyzing the plurality of debugging images by the detection optical module to obtain debugging data of the fixation system; or

[0016] The fixation system calibration system further includes an algorithm module, and the step of analyzing the debugging image to obtain debugging data of the fixation system includes:

[0017] The algorithm module analyzes the multiple debugging images to obtain debugging data of the fixation system.

[0018] Optionally, the step of analyzing the multiple debugging images to obtain debugging data of the fixation system includes:

[0019] detecting the position of the center of the fixation mark pattern and the positions of the centers of the plurality of debugging images;

[0020] determining whether the position of the center of the fixation mark pattern is consistent with the positions of the centers of the multiple debugging images;

[0021] If yes, detecting the grayscale values ​​of the centers of the plurality of debugging images to obtain grayscale value data of the fixation system;

[0022] Detecting the illumination brightness and uniformity of the light source of the fixation system to obtain light source data of the fixation system;

[0023] Analyzing the clarity of the plurality of debugging images to determine a maximum clarity value;

[0024] The position of the fixation mark corresponding to the maximum clarity value is set as the optimal debugging position.

[0025] Optionally, the step of analyzing the clarity of the multiple debugging images to determine the maximum clarity includes:

[0026] performing signal enhancement processing on the multiple debugging images to obtain multiple enhanced debugging images;

[0027] Selecting a same position in the plurality of enhanced debugging images to obtain a plurality of first position points;

[0028] Calculating a plurality of sharpnesses corresponding to the plurality of first position points according to a preset sharpness evaluation operator;

[0029] Obtaining a clarity curve of the first position point according to the multiple clarity levels;

[0030] In the clarity curve, the clarity maximum value is determined.

[0031] Optionally, after the step of obtaining the clarity curve of the first position point according to the multiple clarity levels, the method further comprises:

[0032] The definition curve is fitted using a preset fitting technique to obtain a definition fitting curve.

[0033] Optionally, the detection optical module includes a detection lens and a detector, the detection lens is a zoom lens, the focal length of the detection lens is less than 200 mm, and the F number of the detection lens is less than 10.

[0034] The present application also provides a fixation system calibration device, which includes:

[0035] Data acquisition module, used to obtain debugging data;

[0036] The calibration module is configured to output the debugging data and the calibration standard data so that the user can calibrate the fixation system according to the debugging data and the calibration standard data.

[0037] An embodiment of the present application also proposes a terminal device, which includes a memory, a processor, and a fixation system calibration program stored in the memory and executable on the processor. When the fixation system calibration program is executed by the processor, the steps of the fixation system calibration method described above are implemented.

[0038] An embodiment of the present application further provides a computer-readable storage medium, on which a fixation system calibration program is stored. When the fixation system calibration program is executed by a processor, the steps of the fixation system calibration method described above are implemented.

[0039] The fixation system calibration method, device, terminal device and storage medium proposed in the embodiment of the present application obtain debugging data; output the debugging data and calibration standard data so that the user can calibrate the fixation system according to the debugging data and the calibration standard data. Based on the solution of the present application, the debugging data can be obtained in an automated manner. The debugging data can provide detailed information about the current performance status of the fixation system. By comparing the debugging data with the calibration standard data, it can be quickly determined whether the fixation system needs to be calibrated, and a reference basis can be provided when calibration is required, saving the time and energy required for the calibration process, reducing the possibility of human judgment errors, and improving calibration efficiency and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a schematic diagram of the functional modules of the terminal device of the fixation system calibration device of this application;

[0041] Figure 2 This is a flowchart of an exemplary embodiment of a fixation system calibration method of the present application;

[0042] Figure 3 This is a schematic diagram showing a comparison of the fixation mark direction before and after correction in an embodiment of the present application;

[0043] Figure 4 1 is a flow chart of another exemplary embodiment of the fixation system calibration method of the present application;

[0044] Figure 5 1 is a flow chart of another exemplary embodiment of the fixation system calibration method of the present application;

[0045] Figure 6 1 is a flow chart of another exemplary embodiment of the fixation system calibration method of the present application;

[0046] Figure 7 Schematic diagram of a clarity curve and real-time debugging images of different fixation mark positions in an embodiment of the present application;

[0047] Figure 8 1 is a flow chart of another exemplary embodiment of the fixation system calibration method of the present application;

[0048] Figure 9 1 is a flow chart of another exemplary embodiment of the fixation system calibration method of the present application;

[0049] Figure 10 Schematic diagram of the fixation system calibration system in an embodiment of the present application.

[0050] The realization of the objectives, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0051] It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application.

[0052] The main solution of the embodiment of the present application is: by obtaining debugging data; outputting the debugging data and calibration standard data, so that the user can calibrate the fixation system according to the debugging data and the calibration standard data. Based on the solution of the present application, the debugging data can be obtained in an automated manner. The debugging data can provide detailed information about the current performance status of the fixation system. By comparing the debugging data with the calibration standard data, it can be quickly determined whether the fixation system needs to be calibrated, and a reference basis can be provided when calibration is required, saving the time and energy required for the calibration process, reducing the possibility of human judgment errors, and improving calibration efficiency and accuracy.

[0053] Specifically, refer to Figure 1 , Figure 1 This is a schematic diagram of the functional modules of the terminal device to which the fixation system calibration device of this application belongs. The fixation system calibration device can be a device independent of the terminal device, capable of acquiring debugging data and debugging image analysis, and can be hosted on the terminal device in the form of hardware or software. The terminal device can be a smart mobile terminal with data processing capabilities, such as a mobile phone or tablet computer, or a fixed terminal device or server with data processing capabilities.

[0054] In this embodiment, the terminal device to which the fixation system calibration apparatus belongs includes at least an output module 110 , a processor 120 , a memory 130 and a communication module 140 .

[0055] The memory 130 stores an operating system and a fixation system calibration program. The fixation system calibration device can store debugging data, calibration standard data, fixation system grayscale value data, maximum clarity value, and other information in the memory 130. The output module 110 can be a display screen, etc. The communication module 140 can include a Wi-Fi module, a mobile communication module, and a Bluetooth module, etc., and communicates with external devices or servers through the communication module 140.

[0056] Based on the above terminal device architecture but not limited to the above architecture, an embodiment of the method of the present application is proposed.

[0057] Reference Figure 2 , Figure 2 This is a flow chart of an exemplary embodiment of a fixation system calibration method of the present application. The fixation system calibration method includes:

[0058] Step S100, obtaining debugging data;

[0059] The execution subject of the method of this embodiment can be a fixation system calibration device, or a fixation system calibration terminal device or server. This embodiment takes the fixation system calibration device as an example, and the fixation system calibration device can be integrated into terminal devices such as smart phones and tablet computers with data processing functions.

[0060] Specifically, the debugging data can be obtained in real time by the debugging software or interface equipped with the fixation system to be calibrated, by connecting the fixation system to a computer or other device and using the corresponding software or interface. Or the debugging data can be obtained using a data recording and analysis tool, which can be an independent hardware device or software program. The fixation system calibration system also includes a detection optical module. In addition, an algorithm module can be provided. The detection optical module is used to receive pattern information projected from the fixation mark in the fixation system to form a debugging image, and then the algorithm module is used to analyze multiple debugging images to obtain debugging data. According to the needs of calibration, the debugging data includes but is not limited to image grayscale data, fixation mark optical path data, fixation mark direction data, fixation mark clarity data, etc. The debugging data is data related to the error. By analyzing the debugging data, detailed information on the current performance status of the fixation system can be determined.

[0061] Step S200 , outputting the debugging data and calibration standard data, so that the user can calibrate the fixation system according to the debugging data and the calibration standard data.

[0062] Specifically, the calibration standard data is used as a reference for calibration, including but not limited to horizontal and vertical reference lines, a rectangular frame of the clarity value range, and a center circle reference line. Among them, the horizontal line control is to be able to move the horizontal reference line up and down to provide a reference for the direction of the calibration fixation mark. Figure 3 , which is a comparison chart before and after correction of the fixation mark direction. Figure 3 The direction of the fixation mark before correction is rotated by a certain angle compared to the correct direction. By observing the real-time image and the prompts of the horizontal reference line, the fixation mark is rotated to calibrate its direction. The rectangular frame of the clarity value range can be moved, enlarged, and reduced at will, providing point selection support for evaluating the clarity of the fixation mark. The center circle reference line can observe whether the fixation mark pattern is in the center of the debugging image, providing a basis for judging whether the fixation mark optical path is tilted. By comparing the debugging data with the calibration standard data, it can be quickly determined whether the fixation system needs to be calibrated and how to calibrate it, thereby improving the efficiency and accuracy of calibration.

[0063] This embodiment, through the above-mentioned solution, specifically obtains debugging data; outputs the debugging data and calibration standard data, so that the user can calibrate the fixation system according to the debugging data and the calibration standard data. Based on the solution of this application, the debugging data can be obtained in an automated manner. The debugging data can provide detailed information about the current performance status of the fixation system. By comparing the debugging data with the calibration standard data, it can be quickly determined whether the fixation system needs to be calibrated, and a reference basis can be provided when calibration is required, saving the time and energy required for the calibration process, reducing the possibility of human judgment errors, and improving calibration efficiency and accuracy.

[0064] Reference Figure 4 , Figure 4 This is a flow chart of another exemplary embodiment of the fixation system calibration method of this application. Figure 2 In the embodiment shown, in this embodiment, the fixation system calibration system includes: a fixation system and a detection optical module, and the step of obtaining the debugging data includes:

[0065] Step S101, adjusting the position of the fixation mark in the fixation system, and obtaining a plurality of debugging images formed by the fixation mark pattern projected by the fixation mark after passing through the optical elements in the fixation system and the detection optical module;

[0066] Step S102 : analyzing the plurality of debugging images to obtain debugging data of the fixation system.

[0067] By adjusting the position of the fixation mark, the fixation mark pattern passes through the optical element and the detection optical module, forming a calibration image corresponding to the fixation mark position, thus generating multiple calibration images. Analysis of these calibration images includes, but is not limited to, clarity analysis, illumination brightness and uniformity analysis, and field of view centering analysis. These images can be customized and flexibly adjusted to meet specific calibration requirements, generating a variety of calibration data.

[0068] This embodiment uses the above solution to analyze the debugging image and obtain a variety of debugging data, which can provide more comprehensive information for the calibration of the fixation system, show the performance status of the fixation system from different angles, and improve the calibration accuracy.

[0069] Further, refer to Figure 5 , Figure 5 This is a flow chart of another exemplary embodiment of the fixation system calibration method of this application. Figure 2 In the embodiment shown, in this embodiment, the step of analyzing the multiple debugging images to obtain the debugging data of the fixation system includes:

[0070] Step S201, analyzing the plurality of debugging images by the detection optical module to obtain debugging data of the fixation system; or

[0071] The fixation system calibration system further includes an algorithm module, and the step of analyzing the debugging image to obtain debugging data of the fixation system includes:

[0072] Step S202 : Analyze the multiple debugging images through the algorithm module to obtain debugging data of the fixation system.

[0073] Specifically, refer to Figure 10 ,In the fixation system calibration system, another algorithm module can be set up to ,analyze the obtained debugging image, or the analysis algorithm and ,the detector in the detection optical module can be integrated with ,the software to realize real-time detection information and improve ,calibration efficiency.

[0074] In another embodiment, the detector software and algorithm are integrated as a calibration tool to monitor the calibration status of the fixation system in real time. When the fixation system is actually used for testing, the detector software is opened to observe the captured image. The integrated calibration tool function is divided into four parts: camera control, camera setting, horizontal line control, and function parameter reading. The camera control is used to find the camera and control the camera switch. The camera setting is used to set the camera parameters, including exposure time, gain, and Binning, etc. The calibration tool interface has horizontal and vertical reference lines, a rectangular box for the clarity value range, and a center circle reference line. The horizontal line control is to be able to translate the horizontal reference line up and down to provide a reference for the direction of the calibration fixation mark. The clarity value box can be moved, enlarged, and reduced at will, providing point selection support for evaluating the clarity image. The center circle reference line can observe whether the fixation mark pattern is in the center of the debugging image, and provide a basis for judging whether the optical path is tilted. Function parameter reading is mainly for real-time observation of the clarity and grayscale value of the image.

[0075] Further, refer to Figure 6 , Figure 6 This is a flow chart of another exemplary embodiment of the fixation system calibration method of this application. Figure 2 In the embodiment shown, in this embodiment, the step of obtaining the debugging data of the fixation system by analyzing the debugging image includes:

[0076] Step S103, detecting the position of the center of the fixation mark pattern and the positions of the centers of the multiple debugging images;

[0077] Step S104, determining whether the position of the center of the fixation mark pattern is consistent with the positions of the centers of the multiple debugging images;

[0078] Step S105: If yes, then detecting the grayscale values ​​of the centers of the plurality of debugging images to obtain grayscale value data of the fixation system;

[0079] Step S106, detecting the illumination brightness and uniformity of the light source of the fixation system to obtain light source data of the fixation system;

[0080] Step S107, analyzing the clarity of the multiple debugging images to determine the maximum clarity;

[0081] Step S108: setting the position of the fixation mark corresponding to the maximum clarity value as the optimal adjustment position.

[0082] Specifically, by analyzing whether the center of the fixation mark pattern is located at the center of multiple debugging images, it can be determined whether the optical axis is tilted, and then determine whether the optical path of the fixation system needs to be adjusted. After the field of view is centered, in this embodiment, the image grayscale value of the calibration standard data is greater than 100, and the grayscale value of the center of the debugging image is collected. If the grayscale value data of the fixation system is less than 100, the exposure time is adjusted to make the grayscale value data of the fixation system meet the image grayscale value requirements of the calibration standard data, so as to facilitate the subsequent clarity analysis of the debugging image. Detect the illumination brightness and uniformity of the fixation light source to ensure the stability of the fixation light source. In the actual use of the fixation system for testing, the test can be carried out under consistent lighting conditions, which can improve the accuracy and comparability of the test data. Reference Figure 7 , the fixation mark moves along the Z axis (optical axis) during debugging, and at a certain point in the debugging image, the clarity curve drawn is compared with the real-time debugging images at different moving positions. The debugging image is clearest at the highest point of the clarity curve. The optimal debugging position makes the clarity and quality of the debugging image optimal. When the fixation system is actually used for testing, the high-definition image can provide more accurate gaze point information and reduce the error caused by image blur or distortion. Therefore, it is necessary to find the optimal debugging position during the calibration of the fixation system, that is, the focal length position corresponding to the maximum clarity, so as to reduce the error during the actual testing of the fixation system.

[0083] Through the above solution, this embodiment accurately analyzes the debugging image generated during the calibration of the fixation system, quantifies the current performance of the fixation system, provides an objective basis for calibrating the fixation system, and reduces debugging errors caused by subjective adjustments.

[0084] Further, refer to Figure 8 , Figure 8 This is a flow chart of another exemplary embodiment of the fixation system calibration method of this application. Figure 2 In the embodiment shown, in this embodiment, the step of analyzing the clarity of the debugging image and determining the maximum clarity value includes:

[0085] Step S109, performing signal enhancement processing on the multiple debugging images to obtain multiple enhanced debugging images;

[0086] Step S110, selecting the same position in the multiple enhanced debugging images to obtain multiple first position points;

[0087] Step S111, calculating a plurality of sharpnesses corresponding to the plurality of first position points according to a preset sharpness evaluation operator;

[0088] Step S112, obtaining a clarity curve of the first position point according to the multiple clarity levels;

[0089] Step S113: determining the maximum clarity value in the clarity curve.

[0090] Specifically, a plurality of debugging images are subjected to signal enhancement processing to achieve the effect of enhancing the image signal and suppressing noise. The processing method may include adaptive equalization or Gaussian filtering with contrast limitation. The clarity of each enhanced debugging image is then calculated using an image clarity evaluation operator. Optional clarity evaluation methods include Laplace operator, Sobel operator, entropy function, variance method, etc. The first position point is a point at any position in the plurality of debugging images, and is a point at the same position in the plurality of debugging images. For the first position point in the debugging image, a clarity change curve of the image formed at this position under different fixation mark positions can be obtained. The fixation mark position corresponding to the maximum value of the clarity curve is the optimal debugging position.

[0091] This embodiment, through the above-described scheme, enhances the image clarity and quality by performing signal enhancement processing on the fixation mark image and the debug image, thereby improving the accuracy and reliability of the clarity calculation. Determining the maximum clarity value in the clarity curve, and thus determining the position of the fixation mark corresponding to the optimal debug position, ensures that the debug image has the highest clarity and quality at the optimal debug position, thereby improving debug accuracy.

[0092] Further, refer to Figure 9 , Figure 9 This is a flow chart of another exemplary embodiment of the fixation system calibration method of this application. Figure 2 In the embodiment shown, in this embodiment, after the step of obtaining the clarity curve of the first position point according to the multiple clarity, the following steps are included:

[0093] Step S114 , fitting the clarity curve using a preset fitting technique to obtain a clarity fitting curve.

[0094] Specifically, because the captured image is affected by numerous factors, such as optical noise, electronic noise, and software processing, some disturbances may occur. Therefore, before calculating the maximum value, a fitting technique can be used on the clarity curve. A mathematical model is fitted to the actual measured clarity curve to eliminate the influence of other interfering factors. When using fitting techniques to process the clarity curve, an appropriate mathematical function or model is typically selected to fit the actual measured clarity curve. Common fitting functions include Gaussian, sine, and polynomial functions. By optimally fitting these functions to the measured clarity curve, a smooth curve can be obtained, which can be used as a reference for determining the maximum clarity value.

[0095] Through the above solution, this embodiment can determine the maximum clarity value while eliminating interference factors, and can compare and reference with the maximum clarity value obtained from the actually measured clarity curve, thereby improving the accuracy of determining the maximum clarity value.

[0096] The detection optical module includes a detection lens and a detector. The detection lens is a zoom lens. The focal length of the detection lens is less than 200 mm. The F number of the detection lens is less than 10.

[0097] Specifically, when shooting the same object, for an optical lens, the longer the focal length, the more it can magnify the details of the object and the stronger the resolving power. The resolving power of the detection lens needs to be greater than that of the human eye. In order to ensure the accuracy of the detection, the focal length of the detection lens needs to be more than twice the focal length of the human eye. The average focal length of the human eye is about 16.68mm, so the focal length of the detection lens needs to be greater than 34mm. The aperture of the detection lens needs to be greater than the exit pupil diameter of the fixation mark system to be measured to ensure that as much light energy as possible is received. In addition, the F number (F-number) is a number used to represent the size of the aperture, which refers to the ratio of the focal length of the lens to the aperture diameter, also known as the aperture ratio. A telephoto lens with a small F number can provide a shallower depth of field and is more sensitive to detecting the fixation mark to be measured. The specific model of the detection lens can be selected according to the detection accuracy requirements, the detection field of view, and the exit pupil of the equipment. In this embodiment, a lens with a focal length of 50mm is preferably used as the detection lens, and the aperture of the lens is adjusted to an F number of 1.4.

[0098] In this embodiment, the detection lens is a zoom lens, but in actual operation, the detection lens can be a fixed-focus lens or a zoom lens according to different detection requirements.

[0099] In addition, the fixation system calibration system also includes fixed fixtures designed according to the detection lens and the fixation system, and fixtures designed to match the fixation mark. The former can adjust the relative position of the lens and the fixation system to achieve consistency debugging of the optical axis of the detection lens and the fixation system; the latter can realize the rotation and forward and backward movement of the fixation mark, replacing manual debugging and improving calibration accuracy and efficiency.

[0100] Fix the detector and the detection lens on the fixture, install the fixture in front of the objective lens of the fixation system, and fine-tune the fixture so that the optical axis of the detection lens coincides with the optical axis of the objective lens.

[0101] To accommodate both fixation and fogging for eyes with varying refractive indexes, most fixation systems are zoom systems. The fogging process involves the fixation system zooming in, providing optical compensation tailored to the eye being tested, allowing the eye to clearly see the fixation pattern. Then, zooming in again blurs the pattern, eliminating fogging. Therefore, calibration of the fixation system must be performed at a specific refractive position (zoom position). In this embodiment, the refractive position selected is the one where the fixation system provides the 0D refractive pattern.

[0102] Adjust the zoom structure of the fixation system to the initial state of the motor position. At this time, the visual refraction corresponding to the fixation pattern provided by the fixation system is 0D, that is, the conjugate plane of the fixation mark is infinity. Install the fixation mark debugging tooling. The imaging surface of the detection lens needs to be conjugate with the theoretical imaging surface of the specific refraction provided by the fixation system. The image surface of the lens needs to coincide with the detection surface of the detector. Fix the detection lens to the detector. The detection lens is a zoom lens. Open the detector software to observe the captured image. After adjusting the detection lens to the clearest when looking at infinity, use the detection lens as a 0D electronic eye.

[0103] In addition, an embodiment of the present application further provides a fixation system calibration device, the fixation system calibration device comprising:

[0104] Data acquisition module, used to obtain debugging data;

[0105] The calibration module is configured to output the debugging data and the calibration standard data so that the user can calibrate the fixation system according to the debugging data and the calibration standard data.

[0106] The principle and implementation process of implementing the fixation system calibration in this embodiment can be found in the above embodiments and will not be described in detail here.

[0107] In addition, an embodiment of the present application also proposes a terminal device, which includes a memory, a processor, and a fixation system calibration program stored in the memory and runnable on the processor. When the fixation system calibration program is executed by the processor, the steps of the fixation system calibration method described above are implemented.

[0108] Since the fixation system calibration program adopts all the technical solutions of all the aforementioned embodiments when executed by the processor, it has at least all the beneficial effects brought by all the technical solutions of all the aforementioned embodiments, which will not be described one by one here.

[0109] In addition, an embodiment of the present application further provides a computer-readable storage medium, on which a fixation system calibration program is stored. When the fixation system calibration program is executed by a processor, the steps of the fixation system calibration method described above are implemented.

[0110] Since the fixation system calibration program adopts all the technical solutions of all the aforementioned embodiments when executed by the processor, it has at least all the beneficial effects brought by all the technical solutions of all the aforementioned embodiments, which will not be described one by one here.

[0111] Compared to the prior art, the fixation system calibration method, device, terminal device, and storage medium proposed in the embodiments of the present application obtain debugging data and output the debugging data and calibration standard data so that the user can calibrate the fixation system according to the debugging data and the calibration standard data. Based on the solution of the present application, the debugging data can be obtained in an automated manner. The debugging data can provide detailed information about the current performance status of the fixation system. By comparing the debugging data with the calibration standard data, it can be quickly determined whether the fixation system needs to be calibrated, and a reference can be provided when calibration is required, saving the time and energy required for the calibration process, reducing the possibility of human judgment errors, and improving the calibration efficiency and accuracy.

[0112] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or system comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or system. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or system comprising the element.

[0113] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0114] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as mentioned above, and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, controlled terminal, or network device, etc.) to execute the method of each embodiment of the present application.

[0115] The above are only preferred embodiments of the present application and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A fixation system calibration method, characterized in that: The fixation system calibration method is applied to a fixation system calibration system, which includes a fixation system and a detection optical module. The fixation system calibration method includes: Adjusting the position of the fixation mark in the fixation system, and obtaining a plurality of debugging images formed by the fixation mark pattern projected by the fixation mark after passing through the optical elements in the fixation system and the detection optical module, wherein the detection optical module includes a detection lens and a detector, and the detection lens is a zoom lens; Analyzing the plurality of debugging images to obtain debugging data of the fixation system; Outputting the debugging data and calibration standard data so that the user can calibrate the fixation system according to the debugging data and the calibration standard data, wherein the calibration standard data includes horizontal and vertical reference lines, a definition value range rectangular frame, and a center circle reference line; The step of analyzing the plurality of debugging images to obtain debugging data of the fixation system includes: Integrate the detector software and analysis algorithm software into a calibration tool, wherein the calibration tool is divided into camera control, camera setting, horizon control, and function parameter reading; The calibration status of the fixation system is monitored based on the calibration tool, and the plurality of debugging images are analyzed to obtain debugging data of the fixation system.

2. The fixation system calibration method according to claim 1, characterized in that: The step of analyzing the plurality of debugging images to obtain debugging data of the fixation system includes: Analyzing the plurality of debugging images by the detection optical module to obtain debugging data of the fixation system; or The fixation system calibration system further includes an algorithm module, and the step of analyzing the plurality of debugging images to obtain debugging data of the fixation system includes: The algorithm module analyzes the multiple debugging images to obtain debugging data of the fixation system.

3. The fixation system calibration method according to claim 1, characterized in that: The step of analyzing the plurality of debugging images to obtain debugging data of the fixation system includes: detecting the position of the center of the fixation mark pattern and the positions of the centers of the plurality of debugging images; determining whether the position of the center of the fixation mark pattern is consistent with the positions of the centers of the multiple debugging images; If yes, detecting the grayscale values ​​of the centers of the plurality of debugging images to obtain grayscale value data of the fixation system; Detecting the illumination brightness and uniformity of the light source of the fixation system to obtain light source data of the fixation system; Analyzing the clarity of the plurality of debugging images to determine a maximum clarity value; The position of the fixation mark corresponding to the maximum clarity value is set as the optimal debugging position.

4. The fixation system calibration method according to claim 3, characterized in that: The step of analyzing the clarity of the plurality of debugging images and determining the maximum clarity includes: performing signal enhancement processing on the multiple debugging images to obtain multiple enhanced debugging images; Selecting a same position in the plurality of enhanced debugging images to obtain a plurality of first position points; Calculating a plurality of sharpnesses corresponding to the plurality of first position points according to a preset sharpness evaluation operator; Obtaining a clarity curve of the first position point according to the multiple clarity levels; In the clarity curve, the clarity maximum value is determined.

5. The fixation system calibration method according to claim 4, characterized in that: After the step of obtaining the clarity curve of the first position point according to the plurality of clarity levels, the method further comprises: The definition curve is fitted using a preset fitting technique to obtain a definition fitting curve.

6. A fixation system calibration device, characterized in that: The fixation system calibration device comprises: A data acquisition module is used to adjust the position of the fixation mark in the fixation system, obtain a plurality of debugging images formed by the fixation mark pattern projected by the fixation mark after passing through the optical elements and the detection optical module in the fixation system, and analyze the plurality of debugging images to obtain debugging data of the fixation system, wherein the detection optical module includes a detection lens and a detector, and the detection lens is a zoom lens; the step of analyzing the plurality of debugging images to obtain the debugging data of the fixation system comprises: integrating detector software and analysis algorithm software into a calibration tool, the calibration tool being divided into camera control, camera setting, horizontal line control, and function parameter reading; monitoring the calibration status of the fixation system based on the calibration tool, and analyzing the plurality of debugging images to obtain debugging data of the fixation system; The calibration module is used to output the debugging data and calibration standard data so that the user can calibrate the fixation system according to the debugging data and the calibration standard data. The calibration standard data includes horizontal and vertical reference lines, a clarity value range rectangular frame, and a center circle reference line.

7. A terminal device, characterized in that: The terminal device includes a memory, a processor, and a fixation system calibration program stored in the memory and executable on the processor. When the fixation system calibration program is executed by the processor, the steps of the fixation system calibration method according to any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a fixation system calibration program, which, when executed by a processor, implements the steps of the fixation system calibration method according to any one of claims 1 to 5.

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