Spliced display screen correction method and device and medium

Abstract

The invention relates to the technical field of tiled display, in particular to a tiled display screen correction method and device and a medium. The method comprises the following steps: acquiring a standard data set of the spliced display screen, and presetting a standard display picture according to the standard data set; an area needing to be corrected in the display picture is recognized through image processing software, and error detection is carried out; and correcting an area needing to be corrected in the display picture by using a correction algorithm, evaluating a corrected display effect, judging whether the display effect reaches the standard or not according to a preset standard display picture, and when the display effect does not reach the standard, optimizing the correction algorithm until the display effect reaches the standard. According to the invention, the display quality of the spliced display screen is improved, the consistency and accuracy of the display picture are ensured, and the efficiency and accuracy of the correction of the spliced display screen are improved.

Description

Technical Field

[0001] The present application relates to the technical field of spliced ​​display screens, and in particular to a spliced ​​display screen calibration method, device and medium. Background Art

[0002] Spliced ​​display screens are widely used in large conference rooms, command centers, exhibitions and other occasions. Their high resolution and large size make them an important part of modern display technology. However, in actual application, since the spliced ​​screen is composed of multiple small screens, there may be differences in brightness, color, contrast and other aspects between the screens. These differences will directly affect the overall display effect and thus affect the user experience. Therefore, how to effectively correct the display inconsistency of spliced ​​display screens and improve the display quality has become a technical problem that needs to be solved in this field.

[0003] At present, in order to solve the problem of inconsistent display of spliced ​​display screens, the industry usually adopts the following methods: the first is to manually adjust the brightness, color and other parameters of each screen to minimize the display difference; the second is to use special calibration equipment to automatically adjust the screen parameters by comparing with pre-set standard patterns. Although these methods can improve the display effect to a certain extent, they are still insufficient in terms of accuracy and efficiency.

[0004] The main problems with the above methods are that manual adjustment is time-consuming and labor-intensive, and it is difficult to ensure consistency; the accuracy of external sensors and control software is limited and cannot completely eliminate display differences; dedicated calibration equipment is expensive and complicated to operate. Therefore, the existing spliced ​​display screen calibration method still has great limitations in practical applications and cannot meet the needs of high-performance display. Summary of the invention

[0005] The purpose of this application is to provide a method, device and medium for calibrating a spliced ​​display screen to improve the efficiency and accuracy of calibrating a spliced ​​display screen.

[0006] In the first aspect, the present application provides a method for calibrating a spliced ​​display screen using the following technical solution: A method for calibrating a spliced ​​display screen, comprising: Acquire a standard data set of a spliced ​​display screen, wherein the standard data set includes characteristic data, display requirements, and display environment of the spliced ​​display screen; Preset standard display screens based on standard data sets; Get the current display screen of the spliced ​​display screen; Identify the area in the display image that needs correction through image processing software; According to the standard data set of the spliced ​​display screen, error detection is performed on the area that needs to be corrected in the display screen to obtain the error detection result; Correcting the area that needs to be corrected in the display image according to the error detection result by using a correction algorithm to obtain a corrected display image; Evaluating the display effect of the calibrated display image according to a standard data set of the display screen; The display effect is judged whether it meets the standard according to the preset standard display screen. When the display effect meets the standard, the display screen calibration is completed.

[0007] By adopting the above technical solution, this application obtains the standard data set of the spliced ​​display screen, generates a standard display screen, and identifies the area in the display screen that needs to be corrected through image processing software, then uses the error detection model to detect the error in the area that needs to be corrected, and then corrects the display screen through the correction model, and finally evaluates the display effect after correction to ensure that the display effect meets the standard. It can effectively correct the display inconsistency of the spliced ​​display screen, improve the display quality, solve the shortcomings of the existing methods in terms of accuracy and efficiency, and improve the efficiency and accuracy of spliced ​​display screen correction.

[0008] Preferably, judging whether the display effect meets the standard according to the preset standard display picture, and completing the display screen calibration when the display effect meets the standard, further comprises: When the display effect does not meet the standard, the correction algorithm is optimized, and the area that needs to be corrected in the display screen is corrected according to the error detection result through the optimized correction algorithm until the display effect meets the standard and the display screen correction is completed.

[0009] Preferably, identifying the area in the display image that needs to be corrected by image processing software includes: identifying the area in the display image with inconsistent display according to brightness difference, color difference, contrast difference or splicing gap as the area that needs to be corrected.

[0010] Preferably, the step of performing error detection on the area to be corrected in the display screen according to the standard data set of the spliced ​​display screen to obtain the error detection result specifically includes: Construct an initial error detection model and configure model parameters of the initial error detection model; According to different error detection processes of different spliced ​​display screens in the error detection database, standard data set samples, area samples that need to be corrected, and corresponding error detection result samples are obtained; Different error detection processes for different spliced ​​display screens obtain standard data set samples, areas to be corrected, and corresponding error detection result samples to construct an error detection sample set; The initial error detection model is trained according to the error detection sample set to obtain a trained error detection model; The standard data set of the spliced ​​display screen and the area to be corrected are input into the error detection model to obtain the error detection result.

[0011] Preferably, the step of training the initial error detection model according to the error detection sample set to obtain a trained error detection model specifically includes: The error detection sample set is divided into an error detection training set and an error detection test set, and the number of training rounds is preset; Input the error detection training set into the error detection initial model and perform training according to the preset number of training rounds; When the initial error detection model reaches a preset number of training rounds, a trained error detection model is obtained; Input the standard data set samples and the area samples that need to be corrected in the error detection test set into the trained error detection model to obtain error detection prediction samples; The model parameters of the error detection model are adjusted according to the error detection samples in the test set and the corresponding error detection prediction samples, and the trained error detection model is obtained according to the adjusted model parameters.

[0012] Preferably, correcting the area in the display image that needs to be corrected according to the error detection result by using a correction algorithm includes: Construct brightness correction model, color correction model and geometric correction model based on the standard data set of spliced ​​display screen; The area that needs to be corrected in the display image is corrected through the brightness correction model, the color correction model and the geometric correction model.

[0013] Preferably, the step of constructing a brightness correction model, a color correction model and a geometric correction model according to a standard data set of a spliced ​​display screen specifically includes: Obtain display effect data of the spliced ​​display screen at different brightness values, including standard brightness images and actual display images, and use the standard brightness image as the target and the brightness value of the actual display image as the input to build a brightness correction model; Obtain the image original color values ​​of the spliced ​​display screen under different color temperature values, use the standard original color values ​​as supervision data, and the image original color values ​​and corresponding color temperature values ​​as input to build a color correction model; The geometric distortion data and the collective distortion type of the spliced ​​display screen at different angles and positions are obtained, and a geometric correction model is selected according to the geometric distortion data and the collective distortion type.

[0014] Preferably, the step of correcting the area in the display image that needs to be corrected according to the error detection result by using a correction algorithm further includes: Real-time monitoring and display of environmental changes; When the display environment changes, the correction algorithm is dynamically adjusted according to the change of the display environment.

[0015] In a second aspect, the present application provides a computer device that adopts the following technical solution: A computer device comprises a memory and a processor, wherein the memory stores a method for calibrating a spliced ​​display screen as described in the first aspect and can be loaded and executed by the processor.

[0016] In a second aspect, the present application provides a computer device that adopts the following technical solution: A computer device comprises a memory and a processor, wherein the memory stores a method for calibrating a spliced ​​display screen as described in the first aspect and can be loaded and executed by the processor.

[0017] In a third aspect, the present application provides a computer-readable storage medium that adopts the following technical solution: A computer-readable storage medium stores a computer program that can be loaded by a processor and executes a spliced ​​display screen correction method as described in the first aspect.

[0018] In summary, the present application includes at least one of the following beneficial technical effects: 1. This application can effectively correct the display inconsistency of the spliced ​​display screen, improve the display quality, solve the shortcomings of the existing methods in terms of accuracy and efficiency, and improve the efficiency and accuracy of the spliced ​​display screen correction; 2. This application can dynamically adjust the correction algorithm according to changes in the display environment to ensure that the spliced ​​display screen can be adaptively adjusted in different display environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 is a flow chart of a method for calibrating a spliced ​​display screen according to an embodiment of the present application; Figure 2 It is a flow chart of the error detection model construction method of an embodiment of the present application. DETAILED DESCRIPTION

[0020] The following is combined with Figure 1 -Attached Figure 2 , further details of this application are given.

[0021] At present, in order to solve the problem of inconsistent display on spliced ​​display screens, the industry usually adopts the following methods: the first is to manually adjust the brightness, color and other parameters of each screen to minimize the display differences; the second is to use special calibration equipment to automatically adjust the screen parameters through comparison with pre-set standard patterns. Although these methods can improve the display effect to a certain extent, they are still insufficient in terms of accuracy and efficiency. The main problems with the above methods are that manual adjustment is time-consuming and labor-intensive, and it is difficult to ensure consistency; the accuracy of external sensors and control software is limited, and display differences cannot be completely eliminated; special calibration equipment is expensive and complicated to operate. Therefore, the existing spliced ​​display screen correction method still has great limitations in practical applications and cannot meet the needs of high-performance display. Therefore, the embodiment of the present application provides a spliced ​​display screen correction method, with reference to Figure 1 ,include: S1. Obtain a standard data set for spliced ​​display screens.

[0022] Specifically, the standard data set includes the characteristic data, display requirements and display environment of the spliced ​​display screen. Obtaining the standard data set of the spliced ​​display screen includes the following steps: obtaining the characteristic data of the spliced ​​display screen, and obtaining the model, resolution, brightness range, color gamut and other information of the spliced ​​display screen. In the specific implementation process, an optical sensor can be used to measure the maximum brightness and minimum brightness of the display screen to determine the brightness range. Obtain the user's display requirements, which in the specific implementation process can include display modes in specific scenarios, such as day mode, night mode, etc. Obtain the current display environment, and obtain environmental information where the display screen is located, such as light intensity, temperature and humidity. In the specific implementation process, the indoor light intensity, temperature and humidity can be measured by environmental sensors to adaptively adjust the display screen in different environments.

[0023] S2. Preset a standard display screen according to the standard data set.

[0024] Specifically, a standard display screen is generated according to the characteristic data and display requirements of the spliced ​​display screen. For example, an image generation software can be used to generate a standard screen with uniform brightness and color distribution. The generated standard display screen is stored in a memory for subsequent use.

[0025] S3. Obtain the current display screen of the spliced ​​display screen.

[0026] Specifically, a high-definition camera is used to capture the current display screen of the spliced ​​display screen.

[0027] S4. Identify the area in the display image that needs to be corrected by using image processing software.

[0028] Specifically, image processing software is used to detect brightness differences in the display screen, identify areas of inconsistent brightness, inconsistent colors, inconsistent contrast, and inconsistent display areas at splicing locations, and identify inconsistent display areas in the display screen based on brightness differences, color differences, contrast differences, or splicing gaps as areas that need correction.

[0029] S5. According to the standard data set of the spliced ​​display screen, error detection is performed on the area in the display screen that needs to be corrected to obtain an error detection result.

[0030] S6. Correct the area in the display image that needs to be corrected according to the error detection result using a correction algorithm to obtain a corrected display image.

[0031] Specifically, a brightness correction model, a color correction model and a geometric correction model are constructed according to a standard data set of the spliced ​​display screen, and the area requiring correction in the display screen is corrected by the brightness correction model, the color correction model and the geometric correction model.

[0032] S7. Evaluate the display effect of the calibrated display image according to the standard data set of the display screen.

[0033] Specifically, the display effect of the calibrated display screen is evaluated using indicators such as brightness uniformity, color accuracy, contrast, etc. In the specific implementation process, the evaluation results can be displayed in the form of charts for intuitive viewing by users.

[0034] S8. Determine whether the display effect meets the standard according to the preset standard display screen. When the display effect meets the standard, the display screen calibration is completed.

[0035] S9. When the display effect does not meet the standard, the correction algorithm is optimized, and the area that needs to be corrected in the display screen is corrected according to the error detection result through the optimized correction algorithm until the display effect meets the standard and the display screen correction is completed.

[0036] Specifically, when the display effect does not meet the standard, the correction algorithm can be optimized, and the area that needs to be corrected in the display screen can be corrected according to the error detection result through the optimized correction algorithm until the display effect meets the standard. The optimization of the correction algorithm includes the following steps: Analyze the error between the corrected display screen and the standard display screen to find out the main source of the error. According to the error analysis results, adjust the parameters of the brightness correction model, the color correction model and the geometric correction model. Retrain the correction model with new parameters to improve the correction accuracy. Use the optimized correction algorithm to correct the area that needs to be corrected in the display screen again until the display effect meets the standard.

[0037] The implementation principle of the embodiment of the present application is: by acquiring a standard data set of a spliced ​​display screen, generating a standard display screen, and identifying the area in the display screen that needs to be corrected through image processing software, then using an error detection model to perform error detection on the area that needs to be corrected, and then correcting the display screen through a brightness correction model, a color correction model, and a geometric correction model, and finally evaluating the corrected display effect to ensure that the display effect meets the standard. By adding optimization steps to the correction algorithm, the correction algorithm can be adjusted when the display effect does not meet the standard, thereby improving the correction accuracy and ensuring that the final display effect meets expectations. This method not only improves the accuracy of the correction, but also improves the robustness of the system, and is suitable for various complex display environments. This method can effectively correct the display inconsistency of the spliced ​​display screen, improve the display quality, solve the shortcomings of the existing methods in terms of accuracy and efficiency, improve the user experience, and effectively improve the efficiency and accuracy of the spliced ​​display screen correction.

[0038] like Figure 2 As shown, the specific steps of step S5 of this application include: S51. Construct an initial error detection model and configure model parameters of the initial error detection model.

[0039] Specifically, the initial error detection model can be a neural network model, or an integrated learning model or a deep learning model.

[0040] S52, obtaining standard data set samples, area samples to be corrected, and corresponding error detection result samples according to different error detection processes of different spliced ​​display screens in the error detection database.

[0041] Specifically, the error detection result samples can be obtained through random sampling or stratified sampling, or through time series analysis.

[0042] S53, different error detection processes for different spliced ​​display screens obtain standard data set samples, areas to be corrected, and corresponding error detection result samples to construct an error detection sample set.

[0043] Specifically, the sample set can be constructed through a dataset segmentation tool, or the number of samples can be increased through data augmentation technology.

[0044] S54. Train the initial error detection model according to the error detection sample set to obtain a trained error detection model.

[0045] Specifically, model training can be performed through gradient descent or random forest algorithm, or through genetic algorithm or Bayesian optimization.

[0046] S55 , inputting the standard data set of the spliced ​​display screen and the area to be corrected into the error detection model to obtain an error detection result.

[0047] The specific steps of step S54 in the embodiment of the present application include: S541, dividing the error detection sample set into an error detection training set and an error detection test set, and presetting the number of training rounds.

[0048] S542: Input the error detection training set into the error detection initial model, and perform training according to a preset number of training rounds.

[0049] S543: When the initial error detection model reaches a preset number of training rounds, a trained error detection model is obtained.

[0050] S544: Input the standard data set samples and the area samples that need to be corrected in the error detection test set into the trained error detection model to obtain error detection prediction samples.

[0051] S545. Adjust the model parameters of the error detection model according to the error detection samples in the test set and the corresponding error detection prediction samples, and obtain a trained error detection model according to the adjusted model parameters.

[0052] The embodiment of the present application can also monitor the display environment changes in real time and dynamically adjust the correction model. When the correction algorithm is used to correct the area that needs to be corrected in the display image according to the error detection result, it also includes: A1. Real-time monitoring and display of environmental changes.

[0053] Specifically, environmental sensors are used to monitor changes in the display environment in real time, such as light intensity, temperature, humidity, etc. The following steps are included: environmental sensors are deployed around the spliced ​​display screen to monitor display environment parameters such as light intensity, temperature, humidity, etc. in real time, and the data of environmental sensors are collected regularly to analyze the change trend of display environment parameters and determine whether the display environment has changed significantly.

[0054] A2. When the display environment changes, the correction algorithm is dynamically adjusted according to the changes in the display environment to adapt to different display environments. Specifically, the following steps are included: mapping the display environment parameters to the parameter space of the correction algorithm, and determining the impact of changes in the display environment parameters on the correction algorithm. According to the changes in the display environment parameters, the parameters of the brightness correction model, the color correction model, and the geometric correction model are dynamically updated. Use the updated correction algorithm to recalibrate the areas that need to be corrected in the display screen to ensure that the display effect is not affected by environmental changes. By monitoring the changes in the display environment in real time and dynamically adjusting the correction algorithm according to environmental changes, it can be ensured that the display effect of the spliced ​​display screen in different environments is always in the best state. This method not only improves the adaptability of the system, but also maintains a stable display effect in various complex environments, further enhancing the user's visual experience.

[0055] The embodiment of the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes a spliced ​​display screen correction method, specifically including: S1. Obtain a standard data set for spliced ​​display screens.

[0056] S2. Preset a standard display screen according to the standard data set.

[0057] S3. Obtain the current display screen of the spliced ​​display screen.

[0058] S4. Identify the area in the display image that needs to be corrected by using image processing software.

[0059] S5. According to the standard data set of the spliced ​​display screen, error detection is performed on the area in the display screen that needs to be corrected to obtain an error detection result.

[0060] S6. Correct the area in the display image that needs to be corrected according to the error detection result using a correction algorithm to obtain a corrected display image.

[0061] S7. Evaluate the display effect of the calibrated display image according to the standard data set of the display screen.

[0062] S8. Determine whether the display effect meets the standard according to the preset standard display screen. When the display effect meets the standard, the display screen calibration is completed.

[0063] S9. When the display effect does not meet the standard, the correction algorithm is optimized, and the area that needs to be corrected in the display screen is corrected according to the error detection result through the optimized correction algorithm until the display effect meets the standard and the display screen correction is completed.

[0064] The computer is a server, and the computer device includes a processor, a memory, a network interface and a database connected through 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, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used for standard display images, error detection databases and error detection models, etc. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a spliced ​​display screen correction method can be implemented.

[0065] The present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented: S1. Obtain a standard data set for spliced ​​display screens.

[0066] S2. Preset a standard display screen according to the standard data set.

[0067] S3. Obtain the current display screen of the spliced ​​display screen.

[0068] S4. Identify the area in the display image that needs to be corrected by using image processing software.

[0069] S5. According to the standard data set of the spliced ​​display screen, error detection is performed on the area in the display screen that needs to be corrected to obtain an error detection result.

[0070] S6. Correct the area in the display image that needs to be corrected according to the error detection result using a correction algorithm to obtain a corrected display image.

[0071] S7. Evaluate the display effect of the calibrated display image according to the standard data set of the display screen.

[0072] S8. Determine whether the display effect meets the standard according to the preset standard display screen. When the display effect meets the standard, the display screen calibration is completed.

[0073] S9. When the display effect does not meet the standard, the correction algorithm is optimized, and the area that needs to be corrected in the display screen is corrected according to the error detection result through the optimized correction algorithm until the display effect meets the standard and the display screen correction is completed.

[0074] In addition, the processor in the computer device executes all the steps of the above-mentioned spliced ​​display screen correction method when executing the computer program.

[0075] 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, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, storage, database or other medium used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM) and memory bus dynamic RAM (RDRAM).

[0076] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0077] The embodiments of this specific implementation are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. The same components are represented by the same figure marks. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for calibrating a spliced ​​display screen, characterized in that: include: Acquire a standard data set of a spliced ​​display screen, wherein the standard data set includes characteristic data, display requirements, and display environment of the spliced ​​display screen; Preset standard display screens based on standard data sets; Get the current display screen of the spliced ​​display screen; Identify the area in the display image that needs correction through image processing software; According to the standard data set of the spliced ​​display screen, error detection is performed on the area that needs to be corrected in the display screen to obtain the error detection result; Correcting the area that needs to be corrected in the display image according to the error detection result by using a correction algorithm to obtain a corrected display image; Evaluating the display effect of the calibrated display image according to a standard data set of the display screen; The display effect is judged whether it meets the standard according to the preset standard display screen. When the display effect meets the standard, the display screen calibration is completed.

2. A method for calibrating a spliced ​​display screen according to claim 1, characterized in that: The step of judging whether the display effect meets the standard according to the preset standard display screen, and completing the display screen calibration when the display effect meets the standard, further includes: When the display effect does not meet the standard, the correction algorithm is optimized, and the area that needs to be corrected in the display screen is corrected according to the error detection result through the optimized correction algorithm until the display effect meets the standard and the display screen correction is completed.

3. A method for calibrating a spliced ​​display screen according to claim 1, characterized in that: The identifying the area in the display screen that needs to be corrected by the image processing software includes: Identify areas of inconsistent display in the display image based on brightness differences, color differences, contrast differences or stitching gaps as areas that need correction.

4. A method for calibrating a spliced ​​display screen according to claim 3, characterized in that: The error detection is performed on the area to be corrected in the display screen according to the standard data set of the spliced ​​display screen to obtain the error detection result, which specifically includes: Construct an initial error detection model and configure model parameters of the initial error detection model; According to different error detection processes of different spliced ​​display screens in the error detection database, standard data set samples, area samples that need to be corrected, and corresponding error detection result samples are obtained; Different error detection processes for different spliced ​​display screens obtain standard data set samples, areas to be corrected, and corresponding error detection result samples to construct an error detection sample set; The initial error detection model is trained according to the error detection sample set to obtain a trained error detection model; The standard data set of the spliced ​​display screen and the area to be corrected are input into the error detection model to obtain the error detection result.

5. A method for calibrating a spliced ​​display screen according to claim 4, characterized in that: The training of the initial error detection model according to the error detection sample set to obtain a trained error detection model specifically includes: The error detection sample set is divided into an error detection training set and an error detection test set, and the number of training rounds is preset; Input the error detection training set into the error detection initial model and perform training according to the preset number of training rounds; When the initial error detection model reaches a preset number of training rounds, a trained error detection model is obtained; Input the standard data set samples and the area samples that need to be corrected in the error detection test set into the trained error detection model to obtain error detection prediction samples; The model parameters of the error detection model are adjusted according to the error detection samples in the test set and the corresponding error detection prediction samples, and the trained error detection model is obtained according to the adjusted model parameters.

6. A method for calibrating a spliced ​​display screen according to claim 3, characterized in that: The correction algorithm is used to correct the area in the display image that needs correction according to the error detection result, including: Construct brightness correction model, color correction model and geometric correction model based on the standard data set of spliced ​​display screen; The area that needs to be corrected in the display image is corrected through the brightness correction model, the color correction model and the geometric correction model.

7. A method for calibrating a spliced ​​display screen according to claim 6, characterized in that: The step of constructing a brightness correction model, a color correction model and a geometric correction model according to a standard data set of the spliced ​​display screen specifically includes: Obtain display effect data of the spliced ​​display screen at different brightness values, including standard brightness images and actual display images, and use the standard brightness image as the target and the brightness value of the actual display image as the input to build a brightness correction model; Obtain the image original color values ​​of the spliced ​​display screen under different color temperature values, use the standard original color values ​​as supervision data, and the image original color values ​​and corresponding color temperature values ​​as input to build a color correction model; The geometric distortion data and the collective distortion type of the spliced ​​display screen at different angles and positions are obtained, and a geometric correction model is selected according to the geometric distortion data and the collective distortion type.

8. A method for calibrating a spliced ​​display screen according to any one of claims 1 to 7, characterized in that: The correction algorithm is used to correct the area in the display image that needs to be corrected according to the error detection result, and further includes: Real-time monitoring and display of environmental changes; When the display environment changes, the correction algorithm is dynamically adjusted according to the change of the display environment.

9. A computer device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a method for calibrating a spliced ​​display screen as claimed in any one of claims 1 to 8 which can be loaded and executed by the processor.

10. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and executes a method for calibrating a spliced ​​display screen as described in any one of claims 1 to 8.

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