Method and system for evaluating quality of optical lens of display device

Abstract

The invention discloses a quality evaluation method and system for an optical lens of a display device, and the method comprises the steps: obtaining and preprocessing an output image of the optical lens, analyzing the output image, determining key imaging features which affect the quality, and determining the feature value of each key imaging feature; evaluating the quality of the optical lens based on each key imaging feature and the feature value to obtain an initial quality evaluation value; determining an influence coefficient of each key imaging feature on the imaging quality of the optical lens, and determining a comprehensive influence coefficient based on the influence coefficient; and adjusting the initial quality evaluation value of the optical lens based on the comprehensive influence coefficient to obtain a final quality evaluation value of the optical lens. According to the method, the imaging characteristics output by the optical lens are quantitatively evaluated, and the evaluation is adjusted according to the influence of the imaging characteristics on the imaging quality of the optical lens, so that the imaging quality of the optical lens can be comprehensively and accurately evaluated, the objectivity and efficiency of evaluation are improved, and a scientific basis is provided for quality management and performance optimization.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of optical lens evaluation, in particular to an optical lens quality evaluation method and system of a display device. BACKGROUND

[0002] In the modern technology field, the optical lens quality evaluation of a display device is particularly important. As a key component of an optical imaging system, the optical lens directly affects the imaging quality and viewing experience. Therefore, in order to ensure excellent imaging performance and user experience of the display device, accurate evaluation of the quality of the optical lens is an urgent need. The development of the optical lens quality evaluation method is derived from the pursuit of performance optimization of the optical system.

[0003] However, the traditional method usually relies on visual inspection and experience judgment, which has strong subjectivity. The evaluation results are easily affected by individual supervisors and environmental factors, lack of objectivity and consistency, and require a large amount of time and manpower for testing and evaluation, which is low in efficiency and cannot meet the needs of modern production and market for fast feedback and high efficiency. In addition, the traditional method lacks clear quantitative indicators and data support, and the evaluation results are often descriptive judgments that are difficult to compare and analyze and improve. SUMMARY

[0004] In order to solve the above technical problems, the present application provides an optical lens quality evaluation method and system of a display device, comprising: obtaining the output imaging of the optical lens in the display device and pre-processing the output imaging of the optical lens; performing feature extraction and analysis on the pre-processed output imaging, determining the key imaging features affecting the quality of the optical lens, and determining the feature values corresponding to each key imaging feature; analyzing and evaluating the quality of the optical lens based on each key imaging feature and the corresponding feature value, obtaining the initial quality evaluation value of the optical lens; determining the influence coefficient of each key imaging feature on the imaging quality of the optical lens, and determining the comprehensive influence coefficient based on the influence coefficients of all key imaging features on the imaging quality of the optical lens; adjusting the initial quality evaluation value of the optical lens based on the comprehensive influence coefficient to obtain the final quality evaluation value of the optical lens.

[0005] Further, the obtaining the output imaging of the optical lens in the display device and pre-processing the output imaging of the optical lens comprises: obtaining the output imaging of the optical lens in the display device and pre-processing the output imaging of the optical lens, the pre-processing including denoising, geometric correction and size adjustment.

[0006] Further, the pre-processed output imaging is subjected to feature extraction and analysis to determine key imaging features affecting the quality of the optical lens, and determine the corresponding feature values of the key imaging features, including: extracting features from the pre-processed output imaging to obtain a plurality of imaging features, and determining a feature value of each imaging feature; obtaining a feature value of a standard imaging feature of the optical lens, and comparing and analyzing the feature value of the imaging feature with the feature value of the corresponding standard imaging feature to determine a feature value difference; determining an imaging feature with a feature value difference greater than a preset threshold as a key imaging feature affecting the quality of the optical lens, and determining the feature value of the imaging feature with the feature value difference greater than the preset threshold as the corresponding feature value of the key imaging feature.

[0007] Further, the comparing and analyzing the feature value of the imaging feature with the feature value of the corresponding standard imaging feature to determine the feature value difference, includes: calculating a difference between the feature value of the imaging feature and the feature value of the corresponding standard imaging feature to obtain a feature value difference, and calculating a ratio between the feature value difference and the feature value of the standard imaging feature; multiplying the difference and the ratio to obtain the feature value difference.

[0008] Further, the analyzing and evaluating the quality of the optical lens based on the key imaging features and the corresponding feature values to obtain an initial quality evaluation value of the optical lens, includes: determining a difference between the feature value of each key imaging feature and the feature value of the corresponding standard imaging feature, and evaluating the difference to obtain a feature evaluation value of each key imaging feature; determining a preset weight of each key imaging feature, and calculating based on the feature evaluation value of each key imaging feature and the preset weight to obtain the initial quality evaluation value of the optical lens.

[0009] Further, the calculation formula of the initial quality evaluation value of the optical lens is: H= , wherein H is the initial quality evaluation value of the optical lens, ai is a preset weight of the ith key imaging feature, Pi is a feature evaluation value of the ith key imaging feature, and n is the number of key imaging features.

[0010] Further, the determining an influence coefficient of each key imaging feature on the imaging quality of the optical lens, includes: acquire historical feature data of each key imaging feature and historical imaging quality data of the optical lens, and calculate a correlation between the historical feature data and the historical imaging quality data; For each key imaging feature, historical imaging quality data of the optical lens when other key imaging features are the same is screened, and a variation of the historical imaging quality data is determined; A preset conversion coefficient is acquired, the preset conversion coefficient, the correlation and the variation are sequentially multiplied to obtain an influence coefficient of each key imaging feature on the imaging quality of the optical lens.

[0011] Further, the influence coefficient of all key imaging features on the imaging quality of the optical lens is determined, including: A preset weight of each key imaging feature is determined, and the influence coefficient of each key imaging feature on the imaging quality of the optical lens and the preset weight of each key imaging feature are weighted and added to obtain a comprehensive influence coefficient, wherein a calculation formula of the comprehensive influence coefficient is: g= , Wherein, g is the comprehensive influence coefficient, ai is the preset weight of the i-th key imaging feature, di is the influence coefficient of the i-th key imaging feature on the imaging quality of the optical lens, and n is the number of key imaging features.

[0012] Further, the initial quality evaluation value of the optical lens is adjusted based on the comprehensive influence coefficient to obtain a final quality evaluation value of the optical lens, including: A preset adjustment coefficient-comprehensive influence coefficient interval correspondence is preset, and the preset adjustment coefficient-comprehensive influence coefficient interval correspondence is associated with a corresponding preset adjustment coefficient for each comprehensive influence coefficient interval; The comprehensive influence coefficient is acquired, and based on a mapping relationship of the comprehensive influence coefficient interval to which the comprehensive influence coefficient belongs in the preset adjustment coefficient-comprehensive influence coefficient interval correspondence, a preset adjustment coefficient corresponding to the comprehensive influence coefficient interval is selected as a corresponding adjustment coefficient; The adjustment coefficient is multiplied by the initial quality evaluation value of the optical lens to obtain the final quality evaluation value of the optical lens.

[0013] The application also provides an optical lens quality evaluation system of a display device, including: An acquisition module is configured to acquire output imaging of an optical lens in a display device and pre-process the output imaging of the optical lens; An analysis module is configured to perform feature extraction and analysis on the pre-processed output imaging, determine key imaging features affecting the quality of the optical lens, and determine corresponding feature values of the key imaging features; The evaluation module is configured to analyze and evaluate the quality of the optical lens based on the key imaging features and corresponding feature values, and obtain an initial quality evaluation value of the optical lens. The determination module is configured to determine an influence coefficient of each key imaging feature on the quality of the optical lens, and determine a comprehensive influence coefficient on the quality of the optical lens based on the influence coefficients. The adjustment module is configured to adjust the initial quality evaluation value of the optical lens based on the comprehensive influence coefficient, and obtain a final quality evaluation value of the optical lens.

[0014] Compared with the prior art, the display device optical lens quality evaluation method and system of the embodiment of the present application has the following beneficial effects: The present application can realize preliminary evaluation of the quality of the optical lens by extracting and analyzing the features of the output imaging of the optical lens and evaluating based on the numerical values of the features. The present application can realize accurate evaluation of the quality of the optical lens by adjusting the initial quality evaluation value based on the comprehensive influence coefficient, and improve the accuracy of the quality evaluation value. The present application can quantize the quality evaluation by numerically processing the key imaging features and determining the influence coefficient, so that the evaluation process is more objective and repeatable, and the production efficiency and product quality stability are improved. BRIEF DESCRIPTION OF DRAWINGS

[0015] Figure 1 is a flow structure schematic diagram of the display device optical lens quality evaluation method in the embodiment of the present application. Figure 2 is a composition schematic diagram of the display device optical lens quality evaluation system in the embodiment of the present application. DETAILED DESCRIPTION

[0016] The specific embodiments of the present application will be further described in detail below in combination with the drawings and examples. The following examples are used to illustrate the present application, but not to limit the scope of the present application.

[0017] In the description of the present application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only used to facilitate the description of the present application and simplify the description, and therefore cannot be understood as indicating or implying that the platform or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application.

[0018] The terms "first", "second", etc. are used only to describe purposes and can not be understood as indicating or implying relative importance or implicitly indicating the number of the technical features indicated. Therefore, the features defined as "first", "second" can explicitly or implicitly include one or more of the features. In the description of the present application, the meaning of "a plurality of" is two or more, unless otherwise specified.

[0019] In the description of the present application, it should be noted that, unless otherwise specified and limited, the terms "mounting", "connecting", "connecting" should be understood broadly, for example, it can be fixedly connected, or it can be detachably connected, or integrally connected; it can be cooling connection, or electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or it can be the communication inside two elements. For ordinary skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific situation.

[0020] As shown in Figure 1 In the embodiments of the present application, a method for evaluating the quality of an optical lens of a display device is provided, which comprises: S100: obtaining the output imaging of the optical lens in the display device, and preprocessing the output imaging of the optical lens; S200: performing feature extraction and analysis on the preprocessed output imaging, determining the key imaging features affecting the quality of the optical lens, and determining the feature values corresponding to each key imaging feature; S300: analyzing and evaluating the quality of the optical lens based on each key imaging feature and the corresponding feature value, to obtain an initial quality evaluation value of the optical lens; S400: determining the influence coefficient of each key imaging feature on the imaging quality of the optical lens, and determining a comprehensive influence coefficient based on the influence coefficients of all key imaging features on the imaging quality of the optical lens; S500: adjusting the initial quality evaluation value of the optical lens based on the comprehensive influence coefficient, to obtain a final quality evaluation value of the optical lens.

[0021] Further, the present application can realize preliminary evaluation of the quality of the optical lens by feature extraction and analysis of the output imaging of the optical lens and evaluation based on the numerical value of the feature; the present application can realize accurate evaluation of the quality of the optical lens by adjusting the initial quality evaluation value based on the comprehensive influence coefficient, to improve the accuracy of the quality evaluation value; the present application can quantize the quality evaluation by numerical processing of the key imaging features and determination of the influence coefficient, so that the evaluation process is more objective and repeatable, to improve the production efficiency and product quality stability.

[0022] In the embodiments of the present application, a method for evaluating the quality of an optical lens of a display device is provided, which comprises obtaining the output imaging of the optical lens in the display device and preprocessing the output imaging of the optical lens, including: obtaining the output imaging of the optical lens in the display device and preprocessing the output imaging of the optical lens, the preprocessing including denoising, geometric correction and size adjustment.

[0023] Specifically, in the display device, the output imaging of the optical lens is crucial as it directly affects the image quality viewed by the end user. The preprocessing of the output imaging of the optical lens includes steps such as denoising, geometric correction and size adjustment, aiming to improve the imaging quality and ensure that the output image meets the expected standards; denoising refers to eliminating noise in the image, making the image clearer and easier to analyze and process. In the output imaging of the optical lens, it may be affected by factors such as ambient light and sensor noise. Denoising processing can effectively improve the image quality, reduce interference and make subsequent processing more accurate and reliable; geometric correction refers to correcting geometric distortion in the image, including lens distortion, perspective distortion, etc., to ensure that the image accurately reflects the original scene. In the output imaging of the optical lens, geometric correction can make the image more consistent with the actual situation, improving the authenticity and accuracy of the imaging; size adjustment refers to adjusting the size of the image, usually to adapt to the needs of different display devices or to meet specific standard sizes. In the output imaging of the optical lens, size adjustment can ensure consistent visual effects when the image is displayed on different devices, improving the portability and adaptability of the image. This step significantly improves image quality, enhances image accuracy, improves processing efficiency and enhances user experience, thereby promoting the progress and development of display technology.

[0024] In the embodiments of the present application, a method for evaluating the quality of an optical lens of a display device is provided, which comprises obtaining the output imaging of the optical lens in the display device and preprocessing the output imaging of the optical lens, including: obtaining the output imaging of the optical lens in the display device and preprocessing the output imaging of the optical lens, the preprocessing including denoising, geometric correction and size adjustment.

[0025] Specifically, in the process of feature extraction and analysis of the pre-processed output imaging, first, a plurality of imaging features need to be determined, such as contrast, sharpness, color accuracy, etc., each of which can be represented by a feature value in the image, and at the same time, the feature values of the standard imaging features of the optical lens are obtained, which represent the imaging effect that the optical lens should achieve in an ideal situation; the feature values of the pre-processed output imaging are compared and analyzed with the feature values of the standard imaging features, and by comparing the differences between the two, it can be determined which imaging features have large numerical differences; the imaging features whose numerical differences exceed the preset threshold are determined as the key imaging features affecting the quality of the optical lens; the numerical differences of these key imaging features are determined as their respective feature values, and the differences in these feature values represent the quality problems of the optical lens, which can help to locate and analyze the quality problems. This step can accurately locate the quality problems of the optical lens by analyzing the numerical differences of the key imaging features, helping to find out the specific reasons for the suboptimal imaging quality; by comparing and analyzing the differences in different feature values, the quality of the optical lens can be more accurately evaluated, rather than relying on subjective observation or simple indicators; based on the results of data comparison and analysis, scientific basis can be provided for subsequent quality improvement and optimization, helping to develop targeted improvement strategies; through the automatic feature extraction and numerical comparison and analysis process, the evaluation efficiency can be improved, the labor cost can be reduced, and the speed and accuracy of quality evaluation can be accelerated. In summary, this step determines the key imaging features and locates the quality problems through comparison and analysis of feature values, which can help to improve the accuracy and efficiency of optical lens quality management, promote quality improvement and optimization, and thus improve the imaging quality of display devices and user experience.

[0026] In an embodiment of the present application, a method for evaluating the quality of an optical lens of a display device is provided, which compares and analyzes data of feature values of imaging features and corresponding feature values of standard imaging features, determines the feature value difference, including: calculating the difference between the feature value of the imaging feature and the feature value of the corresponding standard imaging feature, obtaining the feature value difference, and calculating the ratio between the feature value difference and the feature value of the standard imaging feature; multiplying the difference and the ratio to obtain the feature value difference.

[0027] Specifically, when performing quality assessment of the imaging feature, the feature value of the actual imaging feature is subtracted from the feature value of the standard imaging feature to obtain a feature value difference, which represents the numerical difference between the actual imaging feature and the standard imaging feature; the feature value difference is divided by the feature value of the standard imaging feature to obtain a ratio of the feature value difference to the standard imaging feature, which reflects the relative difference degree between the actual imaging feature value and the standard imaging feature value; the ratio of the feature value difference to the standard imaging feature is multiplied to obtain a feature value difference, which comprehensively considers the feature value difference and the relative difference degree, and can help more comprehensively evaluate the difference between the actual imaging feature and the standard imaging feature. This step can quantitatively evaluate the difference between the actual imaging feature and the standard imaging feature by calculating the feature value difference, so that the evaluation result is more objective and comparable; the feature value difference can help analyze the difference between different imaging features, find out the specific quality problem points, and guide the formulation of quality improvement and optimization measures; the calculation of the feature value difference can provide data support for quality management, help make data-based decisions, and improve the scientificity and effectiveness of quality management. In summary, by calculating the feature value difference, the difference between the actual imaging feature and the standard imaging feature can be more comprehensively and accurately evaluated, and more effective guidance and support can be provided for optical lens quality management.

[0028] In the embodiments of the present application, a method for evaluating the quality of an optical lens of a display device is provided, which analyzes and evaluates the quality of the optical lens based on each key imaging feature and the corresponding feature value, and obtains an initial quality evaluation value of the optical lens, including: determining the difference between the feature value of each key imaging feature and the feature value of the corresponding standard imaging feature, and evaluating the difference to obtain a feature evaluation value of each key imaging feature; determining a preset weight of each key imaging feature, and calculating based on the feature evaluation value of each key imaging feature and the preset weight to obtain the initial quality evaluation value of the optical lens.

[0029] Specifically, for each key imaging feature, the difference between its feature value and the corresponding standard imaging feature value is calculated, and the calculated difference value is evaluated; a preset weight is determined for each key imaging feature, the feature evaluation value of each key imaging feature is multiplied by the corresponding preset weight, and the weighted evaluation values of all key imaging features are added to obtain the initial quality evaluation value of the optical lens. This step can realize multi-dimensional evaluation of the quality of the optical lens by considering the difference and weight of multiple key imaging features, and can more comprehensively understand the overall situation of the imaging quality; the difference is converted into an evaluation value, and the calculation is combined with the weight, so that the quality evaluation result is more quantitative and comparable, which is beneficial to the decision and optimization of quality management; through the calculation of the initial quality evaluation value, quantitative comparison of different optical lens quality can be carried out to help determine the quality level and improvement direction; based on the calculation of the feature evaluation value and the weight, objective data support can be provided for quality management to help make scientific decisions and improvement strategies. In summary, through the calculation of the quality evaluation value and the initial quality evaluation value of the key imaging features, the quality of the optical lens can be more comprehensively and accurately evaluated to provide stronger support and guidance for quality management.

[0030] In an embodiment of the present application, a method for evaluating the quality of an optical lens of a display device is provided, and the calculation formula of the initial quality evaluation value of the optical lens is: H= , wherein H is the initial quality evaluation value of the optical lens, ai is the preset weight of the ith key imaging feature, Pi is the feature evaluation value of the ith key imaging feature, and n is the number of key imaging features.

[0031] In an embodiment of the present application, a method for evaluating the quality of an optical lens of a display device is provided, and the method comprises determining the influence coefficient of each key imaging feature on the imaging quality of the optical lens, comprising: obtaining historical feature data of each key imaging feature and historical imaging quality data of the optical lens, and calculating the correlation between the historical feature data and the historical imaging quality data; for each key imaging feature, screening the historical imaging quality data of the optical lens when other key imaging features are the same, and determining the change amount of the historical imaging quality data; obtaining a preset conversion coefficient, and sequentially multiplying the preset conversion coefficient, the correlation and the change amount to obtain the influence coefficient of each key imaging feature on the imaging quality of the optical lens.

[0032] Specifically, historical feature data of each key imaging feature and historical imaging quality data of the optical lens are collected, which include imaging feature values and corresponding imaging quality evaluation values at different time points; the correlation between the historical feature data and the historical imaging quality data is calculated by statistical analysis or correlation analysis, etc., to determine which imaging features have a more direct impact on the imaging quality; for each key imaging feature, historical imaging quality data with the same other key imaging features are screened out, and the change amount of these data is calculated to determine the impact of different imaging features on the imaging quality; a preset conversion coefficient is obtained, and the correlation, the change amount and the preset conversion coefficient are multiplied in turn to calculate the influence coefficient of each key imaging feature on the imaging quality of the optical lens, which reflects the influence degree of each imaging feature on the imaging quality. Through the calculation of the influence coefficient of each key imaging feature on the imaging quality, this step can realize personalized influence evaluation and understand the influence degree of each imaging feature on the imaging quality under different conditions; based on the analysis of historical data and the calculation of the influence coefficient, more data-supported decision basis can be provided for quality management, which helps to develop more effective quality improvement strategies; by comprehensively considering the correlation, the change amount and the preset conversion coefficient, the influence of each key imaging feature on the imaging quality of the optical lens can be more comprehensively evaluated, which helps to systematically improve the quality management process; by understanding the influence coefficient of each imaging feature, quality optimization and improvement can be carried out targetedly, and the imaging quality level of the optical lens can be improved. Through the above steps, the influence degree of each key imaging feature on the imaging quality of the optical lens can be understood in depth, and more scientific and quantitative support and guidance can be provided for quality management.

[0033] In the embodiments of the present application, an optical lens quality evaluation method of a display device is provided, which determines a comprehensive influence coefficient based on the influence coefficients of all key imaging features on the imaging quality of the optical lens, including: determining preset weights of each key imaging feature, and performing weighted addition calculation on the influence coefficients of each key imaging feature on the imaging quality of the optical lens and the preset weights of each key imaging feature to obtain a comprehensive influence coefficient, wherein the calculation formula of the comprehensive influence coefficient is: g= , wherein g is the comprehensive influence coefficient, ai is the preset weight of the i-th key imaging feature, di is the influence coefficient of the i-th key imaging feature on the imaging quality of the optical lens, and n is the number of key imaging features.

[0034] Specifically, the preset weight of each key imaging feature is determined, the influence coefficient of each key imaging feature on the imaging quality of the optical lens is multiplied by the corresponding preset weight, and all weighted influence coefficients are added to obtain a comprehensive influence coefficient, the influence degree and importance of different imaging features are determined, and the comprehensive influence of them on the imaging quality of the optical lens is comprehensively evaluated. Through the calculation of the comprehensive influence coefficient, the influence degree of each key imaging feature on the imaging quality of the optical lens can be more comprehensively and comprehensively evaluated, and the importance and influence degree of different imaging features are considered. The calculation of the comprehensive influence coefficient can weigh each imaging feature, avoid one-sided or biased evaluation, and make quality management more objective and scientific. Through the calculation of the comprehensive influence coefficient, the comprehensive influence of each key imaging feature on the imaging quality of the optical lens can be more comprehensively and accurately evaluated, and more scientific and quantitative support and guidance can be provided for quality management.

[0035] In the embodiment of the present application, a method for evaluating the quality of an optical lens of a display device is provided, which adjusts the initial quality evaluation value of the optical lens based on the comprehensive influence coefficient to obtain the final quality evaluation value of the optical lens, comprising: presetting a preset adjustment coefficient-comprehensive influence coefficient interval correspondence relationship, for each comprehensive influence coefficient interval, the corresponding preset adjustment coefficient is associated; obtain the comprehensive influence coefficient, and based on the mapping relationship of the comprehensive influence coefficient interval of the comprehensive influence coefficient in the preset adjustment coefficient-comprehensive influence coefficient interval correspondence relationship, select the preset adjustment coefficient corresponding to the comprehensive influence coefficient interval as the corresponding adjustment coefficient; multiply the adjustment coefficient and the initial quality evaluation value of the optical lens to obtain the final quality evaluation value of the optical lens.

[0036] Specifically, a preset adjustment coefficient-comprehensive influence coefficient interval correspondence relationship is pre-set; based on the mapping relationship of the comprehensive influence coefficient interval to which the comprehensive influence coefficient belongs in the preset adjustment coefficient-comprehensive influence coefficient interval correspondence relationship, a preset adjustment coefficient corresponding to the comprehensive influence coefficient interval is selected as the corresponding adjustment coefficient; the selected adjustment coefficient is multiplied by the initial quality evaluation value of the optical lens to obtain the final quality evaluation value of the optical lens, and the actual influence of the comprehensive influence coefficient on the imaging quality of the optical lens is determined. This step can realize the adjustment of the quality evaluation value of the optical lens by determining the appropriate adjustment coefficient according to the comprehensive influence coefficient, and can realize fine quality adjustment according to different influence degrees; based on the mapping relationship of the comprehensive influence coefficient and the preset adjustment coefficient, the quality of the optical lens can be accurately controlled, and the quality evaluation value can more accurately reflect the actual influence; this method converts the data-based comprehensive influence coefficient into the actual quality evaluation value, provides more scientific and quantitative support for decision-making, and helps to optimize the imaging quality of the optical lens; according to the mapping relationship of different comprehensive influence coefficient intervals, the adjustment coefficient can be dynamically adjusted, so that the quality evaluation value is automatically adjusted with the change of the influence degree, and the dynamic optimization of the quality evaluation is realized. In summary, according to the mapping relationship of the comprehensive influence coefficient and the preset adjustment coefficient, the fine adjustment of the quality evaluation value of the optical lens is realized, and more scientific and accurate support and guidance are provided for quality management.

[0037] As shown in Figure 2 In the embodiments of the present application, an optical lens quality evaluation system of a display device is provided, which comprises: an acquisition module for acquiring the output imaging of the optical lens in the display device and pre-processing the output imaging of the optical lens; an analysis module for feature extraction and analysis of the pre-processed output imaging, determining key imaging features affecting the quality of the optical lens, and determining the feature values corresponding to each key imaging feature; an evaluation module for analyzing and evaluating the quality of the optical lens based on each key imaging feature and the corresponding feature value, obtaining the initial quality evaluation value of the optical lens; a determination module for determining the influence coefficient of each key imaging feature on the quality of the optical lens, and determining the comprehensive influence coefficient on the quality of the optical lens based on each influence coefficient; an adjustment module for adjusting the initial quality evaluation value of the optical lens based on the comprehensive influence coefficient, obtaining the final quality evaluation value of the optical lens.

[0038] In summary, the embodiment of the present application provides a display device optical lens quality evaluation method and system, which comprises: acquiring and preprocessing the output imaging of the optical lens, analyzing it, determining the key imaging features affecting the quality, and determining the feature values of each key imaging feature; evaluating the quality of the optical lens based on each key imaging feature and the feature value, obtaining an initial quality evaluation value; determining the influence coefficient of each key imaging feature on the imaging quality of the optical lens, and determining the comprehensive influence coefficient based thereon; adjusting the initial quality evaluation value of the optical lens based on the comprehensive influence coefficient, obtaining the final quality evaluation value of the optical lens. The present application can comprehensively and accurately evaluate the imaging quality of the optical lens by quantitatively evaluating the imaging features output by the optical lens and adjusting the evaluation by the influence of the imaging features on the imaging quality of the optical lens, thereby improving the objectivity and efficiency of the evaluation and providing a scientific basis for quality management and performance optimization.

[0039] Finally, it should be noted that: obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and its equivalent technologies, the present application also intends to include these modifications and variations.

[0040] The above is only one embodiment of the present application, but cannot limit the scope of the present application, and any structural changes made according to the present application should be considered to fall within the scope of the present application and be restricted. Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the platform and the related description described above can refer to the corresponding process in the foregoing platform embodiment, which will not be described here.

[0041] The term "comprises" or any other similar term is intended to cover non-exclusive inclusion, so that the process, platform, article or device / platform including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to these processes, platforms, articles or devices / platforms.

[0042] So far, the technical solutions of the present application have been described in combination with the further embodiments shown in the drawings, but those skilled in the art can easily understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to the related technical features without deviating from the principles of the present application, and the technical solutions after these changes or replacements will fall within the protection scope of the present application.

[0043] The above is only a preferred embodiment of the present application, and is not intended to limit the protection scope of the present application.

Claims

1. A method of evaluating optical lens quality of a display device, characterized by, The method comprises the following steps: acquiring the output imaging of the optical lens in the display device and preprocessing the output imaging of the optical lens; performing feature extraction and analysis on the preprocessed output imaging, determining the key imaging features affecting the quality of the optical lens, and determining the feature values corresponding to each key imaging feature; analyzing and evaluating the quality of the optical lens based on each key imaging feature and the corresponding feature value, and obtaining an initial quality evaluation value of the optical lens; determining the influence coefficient of each key imaging feature on the imaging quality of the optical lens, and determining a comprehensive influence coefficient based on the influence coefficients of all key imaging features on the imaging quality of the optical lens; adjusting the initial quality evaluation value of the optical lens based on the comprehensive influence coefficient to obtain a final quality evaluation value of the optical lens.

2. The method of claim 1, wherein the method further comprises: The method comprises the following steps: acquiring the output imaging of the optical lens in the display device and preprocessing the output imaging of the optical lens, the preprocessing including denoising, geometric correction and size adjustment.

3. The method of claim 2, wherein the step of determining the quality of the optical lens of the display device is performed by using a machine learning algorithm. The method comprises the following steps: performing feature extraction on the preprocessed output imaging to obtain a plurality of imaging features, and determining the feature value of each imaging feature; acquiring the feature value of the standard imaging feature of the optical lens, and performing data comparison and analysis on the feature value of the imaging feature and the feature value of the corresponding standard imaging feature to determine the feature value difference; determining the imaging feature with a feature value difference greater than a preset threshold as the key imaging feature affecting the quality of the optical lens, and determining the feature value of the imaging feature with a feature value difference greater than the preset threshold as the feature value corresponding to each key imaging feature.

4. The method of claim 3, wherein the step of determining the quality of the optical lens of the display device comprises the steps of: The method comprises the following steps: calculating the difference between the feature value of the imaging feature and the feature value of the corresponding standard imaging feature to obtain a feature value difference, and calculating the ratio between the feature value difference and the feature value of the standard imaging feature; multiplying the difference and the ratio to obtain the feature value difference.

5. The method of claim 4, wherein the step of determining the quality of the optical lens of the display device is performed by using a quality evaluation model. The method comprises the following steps: determining the difference between the feature value of each key imaging feature and the feature value of the corresponding standard imaging feature, and evaluating the difference to obtain a feature evaluation value of each key imaging feature; determining the preset weight of each key imaging feature, and calculating based on the feature evaluation value of each key imaging feature and the preset weight to obtain an initial quality evaluation value of the optical lens.

6. The method of claim 5, wherein the step of determining the quality of the optical lens of the display device is performed by using a quality evaluation model. The calculation formula of the initial quality evaluation value of the optical lens is as follows: H= ， wherein, H is the initial quality evaluation value of the optical lens, ai is the preset weight of the ith key imaging feature, Pi is the feature evaluation value of the ith key imaging feature, and n is the number of key imaging features.

7. The method of claim 5, wherein the step of determining the quality of the optical lens of the display device comprises the steps of: determining the quality of the optical lens of the display device based on the at least one of the first and second optical lens quality evaluation values. The determining the influence coefficient of each key imaging feature on the imaging quality of the optical lens comprises: obtaining historical feature data of each key imaging feature and historical imaging quality data of the optical lens, and calculating the correlation between the historical feature data and the historical imaging quality data; for each key imaging feature, filtering the historical imaging quality data of the optical lens when other key imaging features are the same, and determining the change amount of the historical imaging quality data; obtaining a preset conversion coefficient, and sequentially multiplying the preset conversion coefficient, the correlation and the change amount to obtain the influence coefficient of each key imaging feature on the imaging quality of the optical lens.

8. The method of claim 7, wherein the step of determining the quality of the optical lens of the display device is performed by using a quality evaluation model. The determining the comprehensive influence coefficient based on the influence coefficients of all key imaging features on the imaging quality of the optical lens comprises: determining preset weights of each key imaging feature, and performing weighted addition calculation on the influence coefficients of each key imaging feature on the imaging quality of the optical lens and the preset weights of each key imaging feature to obtain the comprehensive influence coefficient, wherein the calculation formula of the comprehensive influence coefficient is: g= ， wherein g is the comprehensive influence coefficient, ai is the preset weight of the i-th key imaging feature, di is the influence coefficient of the i-th key imaging feature on the imaging quality of the optical lens, and n is the number of key imaging features.

9. The method of claim 8, wherein the step of determining the quality of the optical lens of the display device is performed by using a quality evaluation model. The adjusting the initial quality evaluation value of the optical lens based on the comprehensive influence coefficient to obtain the final quality evaluation value of the optical lens comprises: pre-setting a preset adjustment coefficient-comprehensive influence coefficient interval correspondence, and the preset adjustment coefficient-comprehensive influence coefficient interval correspondence is associated with a corresponding preset adjustment coefficient for each comprehensive influence coefficient interval; obtaining the comprehensive influence coefficient, and selecting the preset adjustment coefficient corresponding to the comprehensive influence coefficient interval as the corresponding adjustment coefficient based on the mapping relationship of the comprehensive influence coefficient interval in the preset adjustment coefficient-comprehensive influence coefficient interval correspondence; multiplying the adjustment coefficient and the initial quality evaluation value of the optical lens to obtain the final quality evaluation value of the optical lens.

10. An optical lens quality assessment system of a display device, characterized in that, comprise: an acquisition module configured to acquire output imaging of an optical lens in a display device and pre-process the output imaging of the optical lens; an analysis module configured to perform feature extraction and analysis on the pre-processed output imaging, determine key imaging features affecting the quality of the optical lens, and determine corresponding feature values of each key imaging feature; an evaluation module configured to analyze and evaluate the quality of the optical lens based on each key imaging feature and the corresponding feature value to obtain an initial quality evaluation value of the optical lens; a determination module configured to determine the influence coefficient of each key imaging feature on the quality of the optical lens, and determine a comprehensive influence coefficient on the quality of the optical lens based on each influence coefficient; an adjustment module configured to adjust the initial quality evaluation value of the optical lens based on the comprehensive influence coefficient to obtain a final quality evaluation value of the optical lens.

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