Intelligent color gamut identification method and system based on liquid crystal display screen

Abstract

The invention relates to the technical field of display, and discloses an intelligent color gamut identification method based on a liquid crystal display screen, which comprises the following steps: determining a micro color sensor of the liquid crystal display screen; the method comprises the steps of marking pixel gaps of a liquid crystal display screen, defining sensor gap distribution of micro color sensors in the pixel gaps, calculating a color acquisition consistency coefficient and a color acquisition integrity coefficient of the micro color sensors under the sensor gap distribution, and analyzing ambient light conditions of the liquid crystal display screen. Analyzing a color gamut mapping algorithm of the liquid crystal display screen under the ambient light condition; the method comprises the steps of analyzing color gamut parameters of a liquid crystal display screen, defining multiple dimensions of the color gamut of the liquid crystal display screen, establishing a multi-dimensional color gamut evaluation model of the liquid crystal display screen, analyzing color gamut values of the color gamut parameters, optimizing the color gamut parameters to obtain optimized color gamut parameters, and executing intelligent color gamut identification of the liquid crystal display screen based on the optimized color gamut parameters. The color gamut recognition effect of the liquid crystal display screen can be improved.

Description

Technical Field

[0001] The invention relates to a color gamut intelligent recognition method and system based on a liquid crystal display screen, belonging to the field of display technology. Background Art

[0002] Intelligent color gamut recognition of LCD screens refers to the process of accurately measuring, analyzing and optimizing the color range (i.e., color gamut) displayed by LCD screens using advanced sensor technology, data processing algorithms and machine learning technology. The purpose of intelligent color gamut recognition is to improve the color expression of LCD screens, ensure the true reproduction of colors, and provide a more comfortable and personalized viewing experience.

[0003] Traditional LCD display color gamut intelligent identification methods usually rely on fixed color gamut mapping tables and less environmental adaptability, and adjust the display color through a preset color correction curve. This method often ignores the impact of ambient light changes on color performance, lacks a multi-dimensional color gamut evaluation system, and cannot fully optimize color accuracy, coverage and uniformity, thus failing to meet the differentiated needs of different users for color perception. Summary of the invention

[0004] The present invention provides a color gamut intelligent recognition method and system based on a liquid crystal display screen, the main purpose of which is to improve the color gamut recognition effect of the liquid crystal display screen.

[0005] To achieve the above object, the present invention provides a color gamut intelligent recognition method based on a liquid crystal display screen, comprising:

[0006] Acquire display screen characteristics of a liquid crystal display screen, wherein the display screen characteristics include environment characteristics and screen characteristics, determine the environment sensor of the liquid crystal display screen according to the environment characteristics, and determine the micro color sensor of the liquid crystal display screen based on the screen characteristics;

[0007] Marking the pixel gap of the liquid crystal display screen, defining the sensor gap distribution of the micro color sensor in the pixel gap, calculating the color acquisition consistency coefficient and the color acquisition integrity coefficient of the micro color sensor under the sensor gap distribution, and when the color acquisition consistency coefficient and the color acquisition integrity coefficient simultaneously meet the preset color acquisition consistency threshold and the color acquisition integrity threshold, integrating the micro color sensor into the liquid crystal display screen, and collecting environmental data and screen data of the liquid crystal display screen through the micro color sensor and the environmental sensor;

[0008] Based on the environmental data, analyzing the ambient light condition of the liquid crystal display screen, and according to the screen data, analyzing the color gamut mapping algorithm of the liquid crystal display screen under the ambient light condition;

[0009] According to the environmental data and the screen data, the color gamut parameters of the liquid crystal display screen are analyzed by using the color gamut mapping algorithm to define the color gamut multi-dimensionality of the liquid crystal display screen, wherein the color gamut multi-dimensionality includes color accuracy, color gamut coverage, color uniformity, and brightness stability;

[0010] According to the color gamut multi-dimensionality, a multi-dimensional color gamut evaluation model of the liquid crystal display is established, and the color gamut value of the color gamut parameters is analyzed through the multi-dimensional color gamut evaluation model. The color gamut parameters are optimized through the color gamut value to obtain optimized color gamut parameters, and the color gamut intelligent recognition of the liquid crystal display is performed based on the optimized color gamut parameters.

[0011] Optionally, marking the pixel gap of the liquid crystal display screen includes:

[0012] Identifying a gap marking condition of the liquid crystal display screen;

[0013] When the gap marking condition meets the preset gap marking standard, capturing a high-resolution image of the liquid crystal display screen;

[0014] Denoising the high-resolution image to obtain a denoised high-resolution image;

[0015] identifying gap features of the denoised high-resolution image;

[0016] According to the gap feature, marking the gap pixel blocks of the denoised high-resolution image;

[0017] Based on the gap pixel blocks, the pixel gaps of the liquid crystal display are marked.

[0018] Optionally, the calculating of the color acquisition consistency coefficient and the color acquisition completeness coefficient of the micro color sensor under the sensor gap distribution includes:

[0019] Calibrate the micro color sensor to obtain a calibrated color sensor;

[0020] Mark the test nodes of the micro color sensor corresponding to the liquid crystal display screen;

[0021] Using the calibrated color sensor to collect the node color value of the test node;

[0022] Calculate the color acquisition consistency coefficient of the node color value;

[0023] Determining performance parameters of the micro color sensor, and analyzing the color acquisition range of the micro color sensor under the sensor gap distribution according to the performance parameters;

[0024] Identifying a color acquisition blind area of ​​the color acquisition range;

[0025] According to the color acquisition blind area, the color acquisition completeness coefficient of the micro color sensor is analyzed.

[0026] Optionally, the calculating of the color acquisition consistency coefficient of the node color value includes:

[0027] Calculate the color average of the node color value;

[0028] Defining a consistent sensitivity coefficient of the node color value;

[0029] According to the color average value and the consistent sensitivity coefficient, the color acquisition consistency coefficient of the node color value is calculated using the following formula:

[0030] CC=1-(∑|C_ij-C_avg| / (n*C_max))*(1 / k)

[0031] Among them, CC represents the color acquisition consistency coefficient of the node color value, C_ij represents the node color value of the i-th micro color sensor at the j-th test node, C_avg represents the color average value of the micro color sensor at the j-th test node, n represents the number of micro color sensors, C_max represents the maximum possible value of the node color value, and k represents the consistent sensitivity coefficient.

[0032] Optionally, analyzing the ambient light condition of the liquid crystal display screen based on the environmental data includes:

[0033] Defining environmental impact parameters of the liquid crystal display screen;

[0034] Determining a parameter impact value of the environmental impact parameter according to the environmental data;

[0035] Marking the environmental impact key parameters of the liquid crystal display screen by using the parameter impact value;

[0036] Based on the environmental data, defining a change threshold of the key environmental impact parameter;

[0037] The ambient light condition of the liquid crystal display screen is analyzed by using the change threshold.

[0038] Optionally, analyzing a color gamut mapping algorithm of the liquid crystal display screen under the ambient light condition according to the screen data includes:

[0039] Analyze the performance of the liquid crystal display under the ambient light conditions;

[0040] Establishing a reference color gamut of the liquid crystal display screen;

[0041] Calculating the color gamut loss of the liquid crystal display screen under the ambient light conditions according to the reference color gamut and the performance;

[0042] Converting the display screen color of the liquid crystal display screen to obtain a CIE XYZ color space;

[0043] Calculating an XYZ boundary value of the reference color gamut according to the CIE XYZ color space and the color gamut loss;

[0044] Based on the XYZ boundary value, a color gamut mapping algorithm of the liquid crystal display screen under the ambient light condition is defined.

[0045] Optionally, defining a color gamut mapping algorithm of the liquid crystal display screen under the ambient light condition based on the XYZ boundary value includes:

[0046] Define the input XYZ color value of the LCD display;

[0047] Normalizing the input XYZ color value to obtain a normalized input XYZ color value;

[0048] Mapping the normalized input XYZ color value to obtain a mapped input XYZ color value;

[0049] According to the XYZ boundary value, the normalized input XYZ color value, and the mapped input XYZ color value, a color gamut mapping algorithm of the liquid crystal display under the ambient light condition is defined using the following formula, wherein the color gamut mapping algorithm is:

[0050] X_out=X_mapped*(X_max-X_min)+X_min

[0051] Y_out=Y_mapped*(Y_max-Y_min)+Y_min

[0052] Z_out=Z_mapped*(Z_max-Z_min)+Z_min

[0053] Wherein, X_out represents the output color value of the X dimension of the CIE XYZ color space of the liquid crystal display under the ambient light condition, Y_out represents the output color value of the Y dimension of the CIE XYZ color space of the liquid crystal display under the ambient light condition, Z_out represents the output color value of the Z dimension of the CIE XYZ color space of the liquid crystal display under the ambient light condition, X_mapped represents the mapped input XYZ color value of the X dimension of the CIE XYZ color space of the liquid crystal display under the ambient light condition, Y_mapped represents the mapped input XYZ color value of the Y dimension of the CIE XYZ color space of the liquid crystal display under the ambient light condition, Z_mapped represents the mapped input XYZ color value of the Z dimension of the CIE XYZ color space of the liquid crystal display under the ambient light condition, X_max represents the maximum XYZ boundary value of the reference color gamut of the liquid crystal display in the X dimension of the CIE XYZ color space, X_min represents the minimum XYZ boundary value of the reference color gamut of the liquid crystal display in the X dimension of the CIE XYZ color space, and Y_max represents the minimum XYZ boundary value of the reference color gamut of the liquid crystal display in the X dimension of the CIE The maximum XYZ boundary value of the Y dimension of the XYZ color space, Y_min indicates the minimum XYZ boundary value of the Y dimension of the reference color gamut of the LCD display corresponding to the CIE XYZ color space, Z_max indicates the maximum XYZ boundary value of the Z dimension of the reference color gamut of the LCD display corresponding to the CIE XYZ color space, and Z_min indicates the minimum XYZ boundary value of the Z dimension of the reference color gamut of the LCD display corresponding to the CIE XYZ color space.

[0054] Optionally, establishing a multi-dimensional color gamut evaluation model for the liquid crystal display screen according to the color gamut multi-dimensionality includes:

[0055] Analyzing the dimensional influencing factors of the color gamut in multiple dimensions;

[0056] Identifying dimensional influence factor characteristics of the dimensional influence factor;

[0057] According to the dimension influencing factor characteristics, defining the color gamut evaluation relationship between the color gamut multi-dimensionality and the color gamut of the liquid crystal display screen;

[0058] Based on the color gamut evaluation relationship, defining a multi-dimensional color gamut evaluation equation for the liquid crystal display screen;

[0059] A multi-dimensional color gamut evaluation model of the liquid crystal display screen is established by using the multi-dimensional color gamut evaluation equation.

[0060] Optionally, defining a multi-dimensional color gamut evaluation equation of the liquid crystal display screen based on the color gamut evaluation relationship includes:

[0061] Based on the color gamut evaluation relationship, defining the multi-dimensional weights of the liquid crystal display screen;

[0062] According to the multi-dimensional weights, the multi-dimensional color gamut evaluation equation of the liquid crystal display is constructed using the following formula, wherein the multi-dimensional color gamut evaluation equation includes:

[0063]

[0064] Among them, V represents the color gamut value of the LCD screen, G represents the color gamut coverage of the LCD screen, ω1 represents the multi-dimensional weight of the color gamut coverage of the LCD screen, ΔE avg Indicates the maximum acceptable value of color accuracy of the LCD display, ΔE max represents the average value of the color accuracy of the LCD screen, ω2 represents the multi-dimensional weight of the color accuracy of the LCD screen, U represents the color uniformity of the LCD screen, ω3 represents the multi-dimensional weight of the color uniformity of the LCD screen, L represents the brightness stability of the LCD screen, and ω4 represents the multi-dimensional weight of the brightness stability of the LCD screen.

[0065] In order to solve the above problems, the present invention further provides a color gamut intelligent recognition system based on a liquid crystal display screen, the system comprising:

[0066] A color sensor determination module is used to obtain display screen characteristics of a liquid crystal display screen, wherein the display screen characteristics include environmental characteristics and screen characteristics, and to determine the environmental sensor of the liquid crystal display screen according to the environmental characteristics, and to determine the micro color sensor of the liquid crystal display screen based on the screen characteristics;

[0067] A screen environment data acquisition module, used for marking the pixel gap of the liquid crystal display screen, defining the sensor gap distribution of the micro color sensor in the pixel gap, calculating the color acquisition consistency coefficient and the color acquisition completeness coefficient of the micro color sensor under the sensor gap distribution, integrating the micro color sensor into the liquid crystal display screen when the color acquisition consistency coefficient and the color acquisition completeness coefficient meet the preset color acquisition consistency threshold and the color acquisition completeness threshold at the same time, and acquiring the environment data and screen data of the liquid crystal display screen through the micro color sensor and the environment sensor;

[0068] A color gamut mapping algorithm definition module, used to analyze the ambient light conditions of the liquid crystal display screen based on the environmental data, and to analyze the color gamut mapping algorithm of the liquid crystal display screen under the ambient light conditions according to the screen data;

[0069] A color gamut multi-dimensional determination module, configured to analyze the color gamut parameters of the liquid crystal display screen by using the color gamut mapping algorithm according to the environmental data and the screen data, and define the color gamut multi-dimensionality of the liquid crystal display screen, wherein the color gamut multi-dimensionality includes color accuracy, color gamut coverage, color uniformity, and brightness stability;

[0070] A color gamut intelligent recognition module is used to establish a multi-dimensional color gamut evaluation model for the liquid crystal display screen according to the multi-dimensional color gamut, and analyze the color gamut value of the color gamut parameters through the multi-dimensional color gamut evaluation model, optimize the color gamut parameters through the color gamut value to obtain optimized color gamut parameters, and perform color gamut intelligent recognition of the liquid crystal display screen based on the optimized color gamut parameters.

[0071] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0072] at least one processor; and,

[0073] a memory communicatively connected to the at least one processor; wherein,

[0074] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to implement the above-mentioned color gamut intelligent recognition method based on the liquid crystal display screen.

[0075] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned color gamut intelligent recognition method based on a liquid crystal display.

[0076] Compared with the problems described in the background technology, the present invention obtains display screen characteristics of a liquid crystal display screen, wherein the display screen characteristics include environmental characteristics and screen characteristics, which can provide a basis for more effectively adjusting and optimizing the color gamut mapping to adapt to different display environments and user needs; the present invention marks the pixel gap of the liquid crystal display screen, which can provide a basis for subsequent sensor fixation through precise positioning, thereby improving the reliability of screen color data acquisition; further, the present invention defines the sensor gap distribution of the micro color sensor in the pixel gap to ensure that the color gamut intelligent recognition system of the liquid crystal display screen has high accuracy and reliability; further, the present invention calculates the color acquisition consistency coefficient and color acquisition integrity coefficient of the micro color sensor under the sensor gap distribution to ensure that the micro color sensor network has high consistency and integrity when collecting color data, thereby improving the performance of the liquid crystal display color gamut intelligent recognition system; further, when the color acquisition consistency coefficient and the color acquisition integrity coefficient simultaneously meet the preset color acquisition consistency threshold and color acquisition integrity threshold, the present invention integrates the micro color sensor into the liquid crystal display screen, and through the micro The color sensor and the environmental sensor collect the environmental data and screen data of the liquid crystal display screen, which can intelligently collect and process data, thereby providing more accurate and consistent color performance, while adapting to different viewing environments. Further, based on the environmental data, the present invention analyzes the ambient light conditions of the liquid crystal display screen, which can be used as the basis for analyzing the influence of ambient light on the display effect of the liquid crystal display screen. Next, according to the screen data, the present invention analyzes the color gamut mapping algorithm of the liquid crystal display screen under the ambient light conditions, which can ensure that the liquid crystal display screen maintains the best color performance under changing ambient light conditions. The present invention defines the color gamut multi-dimensionality of the liquid crystal display screen, wherein the color gamut multi-dimensionality includes color accuracy, color gamut coverage, color uniformity and brightness stability, which can better evaluate the color gamut performance of the current color gamut parameters, thereby improving the color gamut optimization of the liquid crystal display screen. Finally, the present invention analyzes the color gamut value of the color gamut parameters through the multi-dimensional color gamut evaluation model, optimizes the color gamut parameters through the color gamut value, and obtains the optimized color gamut parameters to further optimize the color gamut parameters of the liquid crystal display screen, thereby better improving the display effect of the liquid crystal display screen. Therefore, the present invention can improve the color gamut recognition effect of the liquid crystal display screen. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] Figure 1 A schematic diagram of a flow chart of a color gamut intelligent recognition method based on a liquid crystal display screen provided by an embodiment of the present invention;

[0078] Figure 2 A functional module diagram of a color gamut intelligent recognition system based on a liquid crystal display screen provided by an embodiment of the present invention;

[0079] Figure 3 A schematic diagram of the structure of an electronic device of a color gamut intelligent recognition system based on a liquid crystal display screen provided by an embodiment of the present invention;

[0080] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0081] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0082] The embodiment of the present application provides a color gamut intelligent recognition method based on a liquid crystal display. The execution subject of the color gamut intelligent recognition method based on a liquid crystal display includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the color gamut intelligent recognition method based on a liquid crystal display can be executed by software or hardware installed on a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0083] Embodiment 1:

[0084] Reference Figure 1 FIG. 1 is a flow chart of a method for intelligently identifying a color gamut based on a liquid crystal display screen according to an embodiment of the present invention. In this embodiment, the method for intelligently identifying a color gamut based on a liquid crystal display screen includes:

[0085] S1. Acquire display screen characteristics of a liquid crystal display screen, wherein the display screen characteristics include environmental characteristics and screen characteristics, determine the environmental sensor of the liquid crystal display screen according to the environmental characteristics, and determine the micro color sensor of the liquid crystal display screen based on the screen characteristics.

[0086] The present invention obtains display screen features of a liquid crystal display screen, wherein the display screen features include environmental features and screen features, which can provide a basis for more effectively adjusting and optimizing color gamut mapping to adapt to different display environments and user needs. The environmental features include ambient light intensity, ambient color temperature, ambient light type, and ambient light direction, and the screen features include pixel distance, brightness, contrast, color gamut coverage, and other features.

[0087] It should be explained that the environmental sensor refers to a sensor for detecting the light conditions of the surrounding environment, and the micro color sensor refers to a sensor that can be integrated into the pixel array of a liquid crystal display screen to directly measure the color displayed on the screen.

[0088] S2. Mark the pixel gap of the liquid crystal display screen, define the sensor gap distribution of the micro color sensor in the pixel gap, calculate the color acquisition consistency coefficient and the color acquisition integrity coefficient of the micro color sensor under the sensor gap distribution, and when the color acquisition consistency coefficient and the color acquisition integrity coefficient simultaneously meet the preset color acquisition consistency threshold and the color acquisition integrity threshold, integrate the micro color sensor into the liquid crystal display screen, and collect the environmental data and screen data of the liquid crystal display screen through the micro color sensor and the environmental sensor.

[0089] The pixel gap of the liquid crystal display screen marked in the present invention can provide a basis for subsequent sensor fixation through precise positioning, thereby improving the reliability of screen color data collection.

[0090] In detail, marking the pixel gap of the liquid crystal display screen includes:

[0091] Identifying a gap marking condition of the liquid crystal display screen;

[0092] When the gap marking condition meets the preset gap marking standard, capturing a high-resolution image of the liquid crystal display screen;

[0093] Denoising the high-resolution image to obtain a denoised high-resolution image;

[0094] identifying gap features of the denoised high-resolution image;

[0095] According to the gap feature, marking the gap pixel blocks of the denoised high-resolution image;

[0096] Based on the gap pixel blocks, the pixel gaps of the liquid crystal display are marked.

[0097] Among them, the gap marking condition refers to a series of technical requirements or parameters that must be met to ensure accurate marking of pixel gaps, such as parameters such as the type of display screen, resolution, pixel layout, ambient light conditions, and sensor accuracy. The gap marking standard is a preset set of rules or thresholds used to determine whether the gap marking condition is met. The high-resolution image refers to an image with a high pixel density that can clearly show the details of the liquid crystal display. The denoised high-resolution image refers to a high-resolution image with reduced image noise through denoising processing. The gap feature refers to a specific attribute of the pixel gap in the image, such as shape, size, contrast, etc. The gap pixel block refers to an area composed of one or more pixels in the denoised high-resolution image, representing a pixel gap. The pixel gap refers to the space between adjacent pixels on the liquid crystal display.

[0098] Optionally, denoising the high-resolution image to obtain a denoised high-resolution image may be achieved through image processing techniques such as filtering, smoothing, and sharpening.

[0099] The present invention can ensure that the color gamut intelligent recognition system of the liquid crystal display screen has high accuracy and reliability by defining the sensor gap distribution of the micro color sensor in the pixel gap. The sensor gap distribution refers to the spatial arrangement of the micro color sensor in the pixel gap of the liquid crystal display screen, including the distance between the sensors, the position relationship of the sensors, and their relative positions to the pixels.

[0100] Furthermore, the present invention can ensure that the micro color sensor network has high consistency and integrity when collecting color data by calculating the color collection consistency coefficient and the color collection integrity coefficient of the micro color sensor under the sensor gap distribution, thereby improving the performance of the liquid crystal display color gamut intelligent recognition system.

[0101] In detail, the calculation of the color acquisition consistency coefficient and the color acquisition integrity coefficient of the micro color sensor under the sensor gap distribution includes:

[0102] Calibrate the micro color sensor to obtain a calibrated color sensor;

[0103] Mark the test nodes of the micro color sensor corresponding to the liquid crystal display screen;

[0104] Using the calibrated color sensor to collect the node color value of the test node;

[0105] Calculate the color acquisition consistency coefficient of the node color value;

[0106] Determining performance parameters of the micro color sensor, and analyzing the color acquisition range of the micro color sensor under the sensor gap distribution according to the performance parameters;

[0107] Identifying a color acquisition blind area of ​​the color acquisition range;

[0108] According to the color acquisition blind area, the color acquisition completeness coefficient of the micro color sensor is analyzed.

[0109] Among them, the calibrated color sensor refers to a micro color sensor that has undergone a calibration process to ensure the accuracy and reliability of its measurement results, the test node refers to a predetermined specific position on the liquid crystal display screen, usually a representative color area on the screen, the node color value refers to the color value collected by the micro color sensor at the test node, the color collection consistency coefficient refers to an indicator used to measure the consistency of output data of multiple micro color sensors when collecting the same color, the performance parameter refers to a quantitative indicator that describes the performance of the micro color sensor, such as sensitivity, accuracy, linearity, repeatability, response time and other parameters, the color collection range refers to the spatial area where the micro color sensor can effectively collect color data, the color collection blind area refers to the area on the liquid crystal display screen that is not covered by the micro color sensor, and the color collection completeness coefficient refers to a coefficient used to measure the ability of the micro color sensor network to cover the color information of the entire liquid crystal display screen.

[0110] Further, the calculation of the color acquisition consistency coefficient of the node color value includes:

[0111] Calculate the color average of the node color value;

[0112] Defining a consistent sensitivity coefficient of the node color value;

[0113] According to the color average value and the consistent sensitivity coefficient, the color acquisition consistency coefficient of the node color value is calculated using the following formula:

[0114] CC=1-(Σ|C_ij-C_avg| / (n*C_max))*(1 / k)

[0115] Among them, CC represents the color acquisition consistency coefficient of the node color value, C_ij represents the node color value of the i-th micro color sensor at the j-th test node, C_avg represents the color average value of the micro color sensor at the j-th test node, n represents the number of micro color sensors, C_max represents the maximum possible value of the node color value, and k represents the consistent sensitivity coefficient.

[0116] Among them, the color average value refers to the arithmetic mean of the color values ​​collected by all micro color sensors for each test node, the consistent sensitivity coefficient is a parameter used to adjust the sensitivity of the color collection consistency coefficient calculation, the color collection consistency coefficient refers to the value used to measure the data consistency of multiple micro color sensors when collecting the same color samples, and the maximum possible value refers to the maximum value of the color value in the color space used.

[0117] In the present invention, when the color acquisition consistency coefficient and the color acquisition complete coefficient simultaneously meet the preset color acquisition consistency threshold and color acquisition complete threshold, the micro color sensor is integrated into the liquid crystal display screen, and the environmental data and screen data of the liquid crystal display screen are collected by the micro color sensor and the environmental sensor to intelligently collect and process data, thereby providing a more accurate and consistent color performance, while adapting to different viewing environments. Among them, the color acquisition consistency threshold refers to a numerical standard for judging whether the consistency of the micro color sensor network when collecting the same color sample is acceptable, the color acquisition complete threshold refers to a numerical standard for evaluating the ability of the micro color sensor network to cover the color information of the entire liquid crystal display screen, the environmental data refers to information collected from the environmental sensor, including but not limited to the brightness, color temperature, indoor temperature, humidity and other data of the ambient light, and the screen data refers to the color information collected from the micro color sensor about a specific point on the liquid crystal display screen, including color value (such as RGB value), brightness, contrast and other data.

[0118] S3. Analyze the ambient light condition of the liquid crystal display screen based on the environmental data, and analyze the color gamut mapping algorithm of the liquid crystal display screen under the ambient light condition according to the screen data.

[0119] The present invention analyzes the ambient light conditions of the liquid crystal display screen based on the environmental data, which can serve as a basis for analyzing the influence of the ambient light on the display effect of the liquid crystal display screen.

[0120] In detail, analyzing the ambient light condition of the liquid crystal display screen based on the environmental data includes:

[0121] Defining environmental impact parameters of the liquid crystal display screen;

[0122] Determining a parameter impact value of the environmental impact parameter according to the environmental data;

[0123] Marking the environmental impact key parameters of the liquid crystal display screen by using the parameter impact value;

[0124] Based on the environmental data, defining a change threshold of the key environmental impact parameter;

[0125] The ambient light condition of the liquid crystal display screen is analyzed by using the change threshold.

[0126] Among them, the environmental impact parameters refer to external lighting factors that affect the performance and viewing experience of the liquid crystal display, such as ambient light brightness, ambient light color temperature, lighting direction, lighting uniformity and other factors; the parameter impact value refers to the specific impact degree of each environmental impact parameter on the performance of the liquid crystal display; the environmental impact key parameters refer to the parameters that have the greatest impact on the display effect selected from the environmental impact parameters, including ambient light brightness, ambient light color temperature and lighting direction; the change threshold refers to the change range of the environmental impact key parameter value; the ambient light condition refers to the lighting condition in the current external environment, including a combination of all factors that affect the display effect of the liquid crystal display.

[0127] Optionally, determining the parameter impact value of the environmental impact parameter based on the environmental data may be determined by performing statistical analysis on the environmental impact parameter.

[0128] The present invention analyzes the color gamut mapping algorithm of the liquid crystal display screen under the ambient light conditions according to the screen data, thereby ensuring that the liquid crystal display screen maintains the best color performance under the changing ambient light conditions.

[0129] In detail, analyzing the color gamut mapping algorithm of the liquid crystal display screen under the ambient light conditions according to the screen data includes:

[0130] Analyze the performance of the liquid crystal display under the ambient light conditions;

[0131] Establishing a reference color gamut of the liquid crystal display screen;

[0132] Calculating the color gamut loss of the liquid crystal display screen under the ambient light conditions according to the reference color gamut and the performance;

[0133] Converting the display screen color of the liquid crystal display screen to obtain a CIE XYZ color space;

[0134] Calculating an XYZ boundary value of the reference color gamut according to the CIE XYZ color space and the color gamut loss;

[0135] Based on the XYZ boundary value, a color gamut mapping algorithm of the liquid crystal display screen under the ambient light condition is defined.

[0136] Among them, the performance refers to the display characteristics of the liquid crystal display under various ambient light conditions, including brightness, contrast, color gamut coverage, color accuracy, response time and other performance; the reference color gamut refers to the color range that the liquid crystal display can achieve under optimal viewing conditions (such as a standard laboratory environment); the color gamut loss refers to the extent to which the liquid crystal display cannot achieve the reference color gamut due to changes in ambient light conditions; the CIE XYZ color space refers to a standardized color space for representing all visible colors; the XYZ boundary value refers to the minimum and maximum boundary values ​​of the reference color gamut in the CIE XYZ color space; and the color gamut mapping algorithm refers to an algorithm for mapping input color data (such as RGB values) into a target color gamut to compensate for the color gamut loss caused by ambient light conditions.

[0137] Furthermore, the color gamut mapping algorithm of the liquid crystal display screen under the ambient light condition is defined based on the XYZ boundary value, including:

[0138] Define the input XYZ color value of the LCD display;

[0139] Normalizing the input XYZ color value to obtain a normalized input XYZ color value;

[0140] Mapping the normalized input XYZ color value to obtain a mapped input XYZ color value;

[0141] According to the XYZ boundary value, the normalized input XYZ color value, and the mapped input XYZ color value, a color gamut mapping algorithm of the liquid crystal display under the ambient light condition is defined using the following formula, wherein the color gamut mapping algorithm is:

[0142] X_out=X_mapped*(X_max-X_min)+X_min

[0143] Y_out=Y_mapped*(Y_max-Y_min)+Y_min

[0144] Z_out=Z_mapped*(Z_max-Z_min)+Z_min

[0145] Wherein, X_out represents the output color value of the X dimension of the CIE XYZ color space of the liquid crystal display under the ambient light condition, Y_out represents the output color value of the Y dimension of the CIE XYZ color space of the liquid crystal display under the ambient light condition, Z_out represents the output color value of the Z dimension of the CIE XYZ color space of the liquid crystal display under the ambient light condition, X_mapped represents the mapped input XYZ color value of the X dimension of the CIE XYZ color space of the liquid crystal display under the ambient light condition, Y_mapped represents the mapped input XYZ color value of the Y dimension of the CIE XYZ color space of the liquid crystal display under the ambient light condition, Z_mapped represents the mapped input XYZ color value of the Z dimension of the CIE XYZ color space of the liquid crystal display under the ambient light condition, X_max represents the maximum XYZ boundary value of the reference color gamut of the liquid crystal display in the X dimension of the CIE XYZ color space, X_min represents the minimum XYZ boundary value of the reference color gamut of the liquid crystal display in the X dimension of the CIE XYZ color space, and Y_max represents the minimum XYZ boundary value of the reference color gamut of the liquid crystal display in the X dimension of the CIE The maximum XYZ boundary value of the Y dimension of the XYZ color space, Y_min indicates the minimum XYZ boundary value of the Y dimension of the reference color gamut of the LCD display corresponding to the CIE XYZ color space, Z_max indicates the maximum XYZ boundary value of the Z dimension of the reference color gamut of the LCD display corresponding to the CIE XYZ color space, and Z_min indicates the minimum XYZ boundary value of the Z dimension of the reference color gamut of the LCD display corresponding to the CIE XYZ color space.

[0146] S4. According to the environmental data and the screen data, the color gamut parameters of the liquid crystal display screen are analyzed using the color gamut mapping algorithm to define the color gamut multi-dimensionality of the liquid crystal display screen, wherein the color gamut multi-dimensionality includes color accuracy, color gamut coverage, color uniformity, and brightness stability.

[0147] It should be explained that the color gamut parameter refers to the output color value of the liquid crystal display screen under the current ambient light conditions input through the color gamut mapping algorithm.

[0148] The present invention defines the color gamut multi-dimensionality of the crystal display screen, wherein the color gamut multi-dimensionality includes color accuracy, color gamut coverage, color uniformity and brightness stability, which can better evaluate the color gamut performance of the current color gamut parameters, thereby improving the color gamut optimization of the crystal display screen. Among them, the color accuracy refers to the degree of match between the color presented by the display and the standard color, the color gamut coverage refers to the number of colors that the display can present, the color uniformity refers to whether the color and brightness of different areas of the same screen of the display are consistent, such as uneven white field, etc., and the brightness stability refers to whether the brightness and contrast of the display can maintain a stable state under different operating environments.

[0149] S5. According to the color gamut multi-dimensionality, a multi-dimensional color gamut evaluation model of the liquid crystal display is established, and the color gamut value of the color gamut parameters is analyzed through the multi-dimensional color gamut evaluation model. The color gamut parameters are optimized through the color gamut value to obtain optimized color gamut parameters, and the color gamut intelligent recognition of the liquid crystal display is performed based on the optimized color gamut parameters.

[0150] The present invention establishes a multi-dimensional color gamut evaluation model for the liquid crystal display screen according to the multi-dimensional color gamut, and can perform multi-dimensional evaluation on the color gamut parameters, thereby improving the reliability of color gamut analysis.

[0151] In detail, the multi-dimensional color gamut evaluation model of the liquid crystal display is established according to the color gamut multi-dimensionality, including:

[0152] Analyzing the dimensional influencing factors of the color gamut in multiple dimensions;

[0153] Identifying dimensional influence factor characteristics of the dimensional influence factor;

[0154] According to the dimension influencing factor characteristics, defining the color gamut evaluation relationship between the color gamut multi-dimensionality and the color gamut of the liquid crystal display screen;

[0155] Based on the color gamut evaluation relationship, defining a multi-dimensional color gamut evaluation equation for the liquid crystal display screen;

[0156] A multi-dimensional color gamut evaluation model of the liquid crystal display screen is established by using the multi-dimensional color gamut evaluation equation.

[0157] Among them, the dimensional influencing factor refers to various factors that affect the color gamut performance of the liquid crystal display, the dimensional influencing factor feature refers to the characteristic attribute based on the dimensional influencing factor, the color gamut evaluation relationship refers to the relationship and weight distribution between various evaluation parameters, the multi-dimensional color gamut evaluation equation refers to a mathematical expression that combines various evaluation parameters and their weights to calculate a comprehensive color gamut evaluation value, and the multi-dimensional color gamut evaluation model refers to a model used to comprehensively evaluate the color gamut performance of the liquid crystal display.

[0158] Furthermore, based on the color gamut evaluation relationship, a multi-dimensional color gamut evaluation equation of the liquid crystal display is defined, including:

[0159] Based on the color gamut evaluation relationship, defining the multi-dimensional weights of the liquid crystal display screen;

[0160] According to the multi-dimensional weights, the multi-dimensional color gamut evaluation equation of the liquid crystal display is constructed using the following formula, wherein the multi-dimensional color gamut evaluation equation includes:

[0161]

[0162] Among them, V represents the color gamut value of the LCD screen, G represents the color gamut coverage of the LCD screen, ω1 represents the multi-dimensional weight of the color gamut coverage of the LCD screen, ΔE avg Indicates the maximum acceptable value of color accuracy of the LCD display, ΔE max represents the average value of the color accuracy of the LCD screen, ω2 represents the multi-dimensional weight of the color accuracy of the LCD screen, U represents the color uniformity of the LCD screen, ω3 represents the multi-dimensional weight of the color uniformity of the LCD screen, L represents the brightness stability of the LCD screen, and ω4 represents the multi-dimensional weight of the brightness stability of the LCD screen.

[0163] Among them, the multi-dimensional weight refers to the importance of different color gamut dimensions to the evaluation of the color gamut value of the LCD display, wherein the color gamut value refers to a comprehensive evaluation of the color gamut parameters on the overall color expression, color accuracy and color reproduction ability.

[0164] The present invention analyzes the color gamut value of the color gamut parameters through the multi-dimensional color gamut evaluation model, optimizes the color gamut parameters through the color gamut value, obtains the optimized color gamut parameters, and further optimizes the color gamut parameters of the liquid crystal display screen, thereby better improving the display effect of the liquid crystal display screen. Wherein, the optimized color gamut parameters refer to a series of adjustments and improvements to the color gamut-related parameters of the liquid crystal display screen under the guidance of the analysis results of the multi-dimensional color gamut evaluation model, so as to achieve better color performance and performance parameters, including color accuracy optimization, color gamut coverage optimization, color uniformity optimization, and brightness stability optimization.

[0165] Compared with the problems described in the background technology, the present invention obtains display screen characteristics of a liquid crystal display screen, wherein the display screen characteristics include environmental characteristics and screen characteristics, which can provide a basis for more effectively adjusting and optimizing the color gamut mapping to adapt to different display environments and user needs; the present invention marks the pixel gap of the liquid crystal display screen, which can provide a basis for subsequent sensor fixation through precise positioning, thereby improving the reliability of screen color data acquisition; further, the present invention defines the sensor gap distribution of the micro color sensor in the pixel gap to ensure that the color gamut intelligent recognition system of the liquid crystal display screen has high accuracy and reliability; further, the present invention calculates the color acquisition consistency coefficient and color acquisition integrity coefficient of the micro color sensor under the sensor gap distribution to ensure that the micro color sensor network has high consistency and integrity when collecting color data, thereby improving the performance of the liquid crystal display color gamut intelligent recognition system; further, when the color acquisition consistency coefficient and the color acquisition integrity coefficient simultaneously meet the preset color acquisition consistency threshold and color acquisition integrity threshold, the present invention integrates the micro color sensor into the liquid crystal display screen, and through the micro The color sensor and the environmental sensor collect the environmental data and screen data of the liquid crystal display screen, which can intelligently collect and process data, thereby providing more accurate and consistent color performance, while adapting to different viewing environments. Further, based on the environmental data, the present invention analyzes the ambient light conditions of the liquid crystal display screen, which can be used as the basis for analyzing the influence of ambient light on the display effect of the liquid crystal display screen. Next, according to the screen data, the present invention analyzes the color gamut mapping algorithm of the liquid crystal display screen under the ambient light conditions, which can ensure that the liquid crystal display screen maintains the best color performance under changing ambient light conditions. The present invention defines the color gamut multi-dimensionality of the liquid crystal display screen, wherein the color gamut multi-dimensionality includes color accuracy, color gamut coverage, color uniformity and brightness stability, which can better evaluate the color gamut performance of the current color gamut parameters, thereby improving the color gamut optimization of the liquid crystal display screen. Finally, the present invention analyzes the color gamut value of the color gamut parameters through the multi-dimensional color gamut evaluation model, optimizes the color gamut parameters through the color gamut value, and obtains the optimized color gamut parameters to further optimize the color gamut parameters of the liquid crystal display screen, thereby better improving the display effect of the liquid crystal display screen. Therefore, the present invention can improve the color gamut recognition effect of the liquid crystal display screen.

[0166] Embodiment 2:

[0167] like Figure 2 , which is a functional module diagram of a color gamut intelligent recognition system based on a liquid crystal display screen provided by an embodiment of the present invention.

[0168] The color gamut intelligent recognition system 200 based on a liquid crystal display screen of the present invention can be installed in an electronic device. According to the functions implemented, the color gamut intelligent recognition system 200 based on a liquid crystal display screen can include a color sensor determination module 201, a screen environment data acquisition module 202, a color gamut mapping algorithm definition module 203, a color gamut multi-dimensional determination module 204 and a color gamut intelligent recognition module 205. The module of the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0169] In this embodiment, the functions of each module / unit are as follows:

[0170] The color sensor determination module 201 is used to obtain display screen features of the liquid crystal display screen, wherein the display screen features include environmental features and screen features, and determine the environmental sensor of the liquid crystal display screen based on the environmental features, and determine the micro color sensor of the liquid crystal display screen based on the screen features;

[0171] The screen environment data acquisition module 202 is used to mark the pixel gap of the liquid crystal display screen, define the sensor gap distribution of the micro color sensor in the pixel gap, calculate the color acquisition consistency coefficient and the color acquisition completeness coefficient of the micro color sensor under the sensor gap distribution, and when the color acquisition consistency coefficient and the color acquisition completeness coefficient meet the preset color acquisition consistency threshold and the color acquisition completeness threshold at the same time, integrate the micro color sensor into the liquid crystal display screen, and collect the environment data and screen data of the liquid crystal display screen through the micro color sensor and the environment sensor;

[0172] The color gamut mapping algorithm definition module 203 is used to analyze the ambient light conditions of the liquid crystal display screen based on the environmental data, and analyze the color gamut mapping algorithm of the liquid crystal display screen under the ambient light conditions according to the screen data;

[0173] The color gamut multi-dimensional determination module 204 is used to analyze the color gamut parameters of the liquid crystal display screen by using the color gamut mapping algorithm according to the environmental data and the screen data, and define the color gamut multi-dimensionality of the liquid crystal display screen, wherein the color gamut multi-dimensionality includes color accuracy, color gamut coverage, color uniformity and brightness stability;

[0174] The color gamut intelligent recognition module 205 is used to establish a multi-dimensional color gamut evaluation model of the LCD display screen according to the multi-dimensional color gamut, and analyze the color gamut value of the color gamut parameters through the multi-dimensional color gamut evaluation model, optimize the color gamut parameters through the color gamut value to obtain optimized color gamut parameters, and perform color gamut intelligent recognition of the LCD display screen based on the optimized color gamut parameters.

[0175] In detail, the modules described in the color gamut intelligent recognition system 200 based on the liquid crystal display screen described in the embodiment of the present invention adopt the same technical means as the color gamut intelligent recognition method based on the liquid crystal display screen described in the accompanying drawings when used, and can produce the same technical effects, which will not be repeated here.

[0176] An embodiment of the present invention provides an electronic device for implementing a color gamut intelligent recognition method based on a liquid crystal display screen.

[0177] See also Figure 3 As shown, the electronic device may include a processor 30, a memory 31, a communication bus 32 and a communication interface 33, and may also include a computer program stored in the memory 31 and executable on the processor 30, such as a color gamut intelligent recognition method program based on a liquid crystal display.

[0178] Among them, the processor in some embodiments may be composed of an integrated circuit, for example, a single packaged integrated circuit, or a plurality of integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor is the control core (Control Unit) of the electronic device, which connects the various components of the entire electronic device using various interfaces and lines, and executes or executes programs or modules stored in the memory (for example, executing a color gamut intelligent recognition program based on a liquid crystal display, etc.), and calls data stored in the memory to execute various functions of the electronic device and process data.

[0179] The memory includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. The memory may be an internal storage unit of an electronic device in some embodiments, such as a mobile hard disk of the electronic device. The memory may also be an external storage device of an electronic device in other embodiments, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Further, the memory may also include both an internal storage unit of the electronic device and an external storage device. The memory may be used not only to store application software and various types of data installed in the electronic device, such as code based on a color gamut intelligent recognition program based on a liquid crystal display, but also to temporarily store data that has been output or is to be output.

[0180] The communication bus may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory and at least one processor, etc.

[0181] The communication interface is used for communication between the above-mentioned electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface, a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device and to display a visual user interface.

[0182] For example, although not shown, the electronic device may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor through a power management system, so that the power management system can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging systems, power failure detection circuits, power converters or inverters, and power status indicators. The electronic device may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0183] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0184] The color gamut intelligent recognition program based on the liquid crystal display screen stored in the memory of the electronic device is a combination of multiple instructions. When running in the processor, it can achieve:

[0185] Acquire display screen characteristics of a liquid crystal display screen, wherein the display screen characteristics include environment characteristics and screen characteristics, determine the environment sensor of the liquid crystal display screen according to the environment characteristics, and determine the micro color sensor of the liquid crystal display screen based on the screen characteristics;

[0186] Marking the pixel gap of the liquid crystal display screen, defining the sensor gap distribution of the micro color sensor in the pixel gap, calculating the color acquisition consistency coefficient and the color acquisition integrity coefficient of the micro color sensor under the sensor gap distribution, and when the color acquisition consistency coefficient and the color acquisition integrity coefficient simultaneously meet the preset color acquisition consistency threshold and the color acquisition integrity threshold, integrating the micro color sensor into the liquid crystal display screen, and collecting environmental data and screen data of the liquid crystal display screen through the micro color sensor and the environmental sensor;

[0187] Based on the environmental data, analyzing the ambient light condition of the liquid crystal display screen, and according to the screen data, analyzing the color gamut mapping algorithm of the liquid crystal display screen under the ambient light condition;

[0188] According to the environmental data and the screen data, the color gamut parameters of the liquid crystal display screen are analyzed by using the color gamut mapping algorithm to define the color gamut multi-dimensionality of the liquid crystal display screen, wherein the color gamut multi-dimensionality includes color accuracy, color gamut coverage, color uniformity, and brightness stability;

[0189] According to the color gamut multi-dimensionality, a multi-dimensional color gamut evaluation model of the liquid crystal display is established, and the color gamut value of the color gamut parameters is analyzed through the multi-dimensional color gamut evaluation model. The color gamut parameters are optimized through the color gamut value to obtain optimized color gamut parameters, and the color gamut intelligent recognition of the liquid crystal display is performed based on the optimized color gamut parameters.

[0190] Specifically, the specific implementation method of the processor for the above instructions can refer to the description of the relevant steps in the corresponding embodiment of the accompanying drawings, which will not be repeated here.

[0191] Furthermore, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium may include: any entity or system capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0192] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0193] Acquire display screen characteristics of a liquid crystal display screen, wherein the display screen characteristics include environment characteristics and screen characteristics, determine the environment sensor of the liquid crystal display screen according to the environment characteristics, and determine the micro color sensor of the liquid crystal display screen based on the screen characteristics;

[0194] Marking the pixel gap of the liquid crystal display screen, defining the sensor gap distribution of the micro color sensor in the pixel gap, calculating the color acquisition consistency coefficient and the color acquisition integrity coefficient of the micro color sensor under the sensor gap distribution, and when the color acquisition consistency coefficient and the color acquisition integrity coefficient simultaneously meet the preset color acquisition consistency threshold and the color acquisition integrity threshold, integrating the micro color sensor into the liquid crystal display screen, and collecting environmental data and screen data of the liquid crystal display screen through the micro color sensor and the environmental sensor;

[0195] Based on the environmental data, analyzing the ambient light condition of the liquid crystal display screen, and according to the screen data, analyzing the color gamut mapping algorithm of the liquid crystal display screen under the ambient light condition;

[0196] According to the environmental data and the screen data, the color gamut parameters of the liquid crystal display screen are analyzed by using the color gamut mapping algorithm to define the color gamut multi-dimensionality of the liquid crystal display screen, wherein the color gamut multi-dimensionality includes color accuracy, color gamut coverage, color uniformity, and brightness stability;

[0197] According to the color gamut multi-dimensionality, a multi-dimensional color gamut evaluation model of the liquid crystal display is established, and the color gamut value of the color gamut parameters is analyzed through the multi-dimensional color gamut evaluation model. The color gamut parameters are optimized through the color gamut value to obtain optimized color gamut parameters, and the color gamut intelligent recognition of the liquid crystal display is performed based on the optimized color gamut parameters.

[0198] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0199] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0200] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0201] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0202] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0203] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0204] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or systems stated in a system claim can also be implemented by one unit or system through software or hardware. The words first, second, etc. are used to indicate names, and do not indicate any particular order.

Claims

1. A color gamut intelligent recognition method based on a liquid crystal display screen, characterized in that: The method comprises: Acquire display screen characteristics of a liquid crystal display screen, wherein the display screen characteristics include environment characteristics and screen characteristics, determine the environment sensor of the liquid crystal display screen according to the environment characteristics, and determine the micro color sensor of the liquid crystal display screen based on the screen characteristics; Marking the pixel gap of the liquid crystal display screen, defining the sensor gap distribution of the micro color sensor in the pixel gap, calculating the color acquisition consistency coefficient and the color acquisition integrity coefficient of the micro color sensor under the sensor gap distribution, and when the color acquisition consistency coefficient and the color acquisition integrity coefficient simultaneously meet the preset color acquisition consistency threshold and the color acquisition integrity threshold, integrating the micro color sensor into the liquid crystal display screen, and collecting environmental data and screen data of the liquid crystal display screen through the micro color sensor and the environmental sensor; Based on the environmental data, analyzing the ambient light condition of the liquid crystal display screen, and according to the screen data, analyzing the color gamut mapping algorithm of the liquid crystal display screen under the ambient light condition; According to the environmental data and the screen data, the color gamut parameters of the liquid crystal display screen are analyzed by using the color gamut mapping algorithm to define the color gamut multi-dimensionality of the liquid crystal display screen, wherein the color gamut multi-dimensionality includes color accuracy, color gamut coverage, color uniformity, and brightness stability; According to the color gamut multi-dimensionality, a multi-dimensional color gamut evaluation model of the liquid crystal display is established, and the color gamut value of the color gamut parameters is analyzed through the multi-dimensional color gamut evaluation model. The color gamut parameters are optimized through the color gamut value to obtain optimized color gamut parameters, and the color gamut intelligent recognition of the liquid crystal display is performed based on the optimized color gamut parameters.

2. The color gamut intelligent recognition method based on a liquid crystal display screen according to claim 1, characterized in that: The marking of the pixel gap of the liquid crystal display screen comprises: Identifying a gap marking condition of the liquid crystal display screen; When the gap marking condition meets the preset gap marking standard, capturing a high-resolution image of the liquid crystal display screen; Denoising the high-resolution image to obtain a denoised high-resolution image; identifying gap features of the denoised high-resolution image; According to the gap feature, marking the gap pixel blocks of the denoised high-resolution image; Based on the gap pixel blocks, the pixel gaps of the liquid crystal display are marked.

3. The color gamut intelligent recognition method based on a liquid crystal display screen according to claim 2, characterized in that: The calculating of the color acquisition consistency coefficient and the color acquisition completeness coefficient of the micro color sensor under the sensor gap distribution includes: Calibrate the micro color sensor to obtain a calibrated color sensor; Mark the test nodes of the micro color sensor corresponding to the liquid crystal display screen; Using the calibrated color sensor to collect the node color value of the test node; Calculate the color acquisition consistency coefficient of the node color value; Determining performance parameters of the micro color sensor, and analyzing the color acquisition range of the micro color sensor under the sensor gap distribution according to the performance parameters; Identifying a color acquisition blind area of ​​the color acquisition range; According to the color acquisition blind area, the color acquisition completeness coefficient of the micro color sensor is analyzed.

4. The color gamut intelligent recognition method based on a liquid crystal display screen according to claim 3, characterized in that: The step of calculating the color acquisition consistency coefficient of the node color value includes: Calculate the color average of the node color value; Defining a consistent sensitivity coefficient of the node color value; According to the color average value and the consistent sensitivity coefficient, the color acquisition consistency coefficient of the node color value is calculated using the following formula: CC=1-(∑|C_ij-C_avg| / (n*C_max))*(1 / k) Among them, CC represents the color acquisition consistency coefficient of the node color value, C_ij represents the node color value of the i-th micro color sensor at the j-th test node, c_avg represents the color average value of the micro color sensor at the j-th test node, n represents the number of micro color sensors, C_max represents the maximum possible value of the node color value, and k represents the consistent sensitivity coefficient.

5. The color gamut intelligent recognition method based on a liquid crystal display screen according to claim 4, characterized in that: The analyzing the ambient light condition of the liquid crystal display screen based on the environmental data includes: Defining environmental impact parameters of the liquid crystal display screen; Determining a parameter impact value of the environmental impact parameter according to the environmental data; Marking the environmental impact key parameters of the liquid crystal display screen by using the parameter impact value; Based on the environmental data, defining a change threshold of the key environmental impact parameter; The ambient light condition of the liquid crystal display screen is analyzed by using the change threshold.

6. The color gamut intelligent recognition method based on a liquid crystal display screen according to claim 5, characterized in that: The step of analyzing the color gamut mapping algorithm of the liquid crystal display screen under the ambient light conditions according to the screen data includes: Analyze the performance of the liquid crystal display under the ambient light conditions; Establishing a reference color gamut of the liquid crystal display screen; Calculating the color gamut loss of the liquid crystal display screen under the ambient light conditions according to the reference color gamut and the performance; Converting the display screen color of the liquid crystal display screen to obtain a CIE XYZ color space; Calculating an XYZ boundary value of the reference color gamut according to the CIE XYZ color space and the color gamut loss; Based on the XYZ boundary value, a color gamut mapping algorithm of the liquid crystal display screen under the ambient light condition is defined.

7. The color gamut intelligent recognition method based on a liquid crystal display screen according to claim 6, characterized in that: The method of defining the color gamut mapping algorithm of the liquid crystal display screen under the ambient light condition based on the XYZ boundary value includes: Define the input XYZ color value of the LCD display; Normalizing the input XYZ color value to obtain a normalized input XYZ color value; Mapping the normalized input XYZ color value to obtain a mapped input XYZ color value; According to the XYZ boundary value, the normalized input XYZ color value, and the mapped input XYZ color value, a color gamut mapping algorithm of the liquid crystal display under the ambient light condition is defined using the following formula, wherein the color gamut mapping algorithm is: X_out=X_mapped*(X_max-X_min)+X_min Y_out=Y_mapped*(Y_max-Y_min)+Y_min Z_out=Z_mapped*(Z_max-Z_min)+Z_min Wherein, X_out represents the output color value of the X dimension of the CIE XYZ color space of the liquid crystal display under the ambient light condition, Y_out represents the output color value of the Y dimension of the CIE XYZ color space of the liquid crystal display under the ambient light condition, Z_out represents the output color value of the Z dimension of the CIE XYZ color space of the liquid crystal display under the ambient light condition, X_mapped represents the mapped input XYZ color value of the X dimension of the CIE XYZ color space of the liquid crystal display under the ambient light condition, Y_mapped represents the mapped input XYZ color value of the Y dimension of the CIE XYZ color space of the liquid crystal display under the ambient light condition, Z_mapped represents the mapped input XYZ color value of the Z dimension of the CIE XYZ color space of the liquid crystal display under the ambient light condition, X_max represents the maximum XYZ boundary value of the reference color gamut of the liquid crystal display in the X dimension of the CIE XYZ color space, X_min represents the minimum XYZ boundary value of the reference color gamut of the liquid crystal display in the X dimension of the CIE XYZ color space, and Y_max represents the minimum XYZ boundary value of the reference color gamut of the liquid crystal display in the X dimension of the CIE The maximum XYZ boundary value of the Y dimension of the XYZ color space, Y_min indicates the minimum XYZ boundary value of the Y dimension of the reference color gamut of the LCD display corresponding to the CIE XYZ color space, Z_max indicates the maximum XYZ boundary value of the Z dimension of the reference color gamut of the LCD display corresponding to the CIE XYZ color space, and Z_min indicates the minimum XYZ boundary value of the Z dimension of the reference color gamut of the LCD display corresponding to the CIE XYZ color space.

8. The color gamut intelligent recognition method based on a liquid crystal display screen according to claim 7, characterized in that: The step of establishing a multi-dimensional color gamut evaluation model for the liquid crystal display screen according to the color gamut multi-dimensionality includes: Analyzing the dimensional influencing factors of the color gamut in multiple dimensions; Identifying dimensional influence factor characteristics of the dimensional influence factor; According to the dimension influencing factor characteristics, defining the color gamut evaluation relationship of the color gamut multi-dimensionality to the liquid crystal display screen; Based on the color gamut evaluation relationship, defining a multi-dimensional color gamut evaluation equation for the liquid crystal display screen; A multi-dimensional color gamut evaluation model of the liquid crystal display screen is established by using the multi-dimensional color gamut evaluation equation.

9. The color gamut intelligent recognition method based on a liquid crystal display screen according to claim 8, characterized in that: The method of defining a multi-dimensional color gamut evaluation equation of the liquid crystal display screen based on the color gamut evaluation relationship includes: Based on the color gamut evaluation relationship, defining the multi-dimensional weights of the liquid crystal display screen; According to the multi-dimensional weights, the multi-dimensional color gamut evaluation equation of the liquid crystal display is constructed using the following formula, wherein the multi-dimensional color gamut evaluation equation includes: Among them, V represents the color gamut value of the LCD screen, G represents the color gamut coverage of the LCD screen, ω1 represents the multi-dimensional weight of the color gamut coverage of the LCD screen, ΔE avg Indicates the maximum acceptable value of color accuracy of the LCD display, ΔE max represents the average value of the color accuracy of the LCD screen, ω2 represents the multi-dimensional weight of the color accuracy of the LCD screen, U represents the color uniformity of the LCD screen, ω3 represents the multi-dimensional weight of the color uniformity of the LCD screen, L represents the brightness stability of the LCD screen, and ω4 represents the multi-dimensional weight of the brightness stability of the LCD screen.

10. A color gamut intelligent recognition system based on a liquid crystal display screen, characterized in that: The system is used to execute the color gamut intelligent recognition method based on a liquid crystal display screen according to any one of claims 1 to 9, the system comprising: A color sensor determination module is used to obtain display screen characteristics of a liquid crystal display screen, wherein the display screen characteristics include environmental characteristics and screen characteristics, and to determine the environmental sensor of the liquid crystal display screen according to the environmental characteristics, and to determine the micro color sensor of the liquid crystal display screen based on the screen characteristics; A screen environment data acquisition module, used for marking the pixel gap of the liquid crystal display screen, defining the sensor gap distribution of the micro color sensor in the pixel gap, calculating the color acquisition consistency coefficient and the color acquisition completeness coefficient of the micro color sensor under the sensor gap distribution, integrating the micro color sensor into the liquid crystal display screen when the color acquisition consistency coefficient and the color acquisition completeness coefficient meet the preset color acquisition consistency threshold and the color acquisition completeness threshold at the same time, and acquiring the environment data and screen data of the liquid crystal display screen through the micro color sensor and the environment sensor; A color gamut mapping algorithm definition module, used to analyze the ambient light conditions of the liquid crystal display screen based on the environmental data, and to analyze the color gamut mapping algorithm of the liquid crystal display screen under the ambient light conditions according to the screen data; A color gamut multi-dimensional determination module, configured to analyze the color gamut parameters of the liquid crystal display screen by using the color gamut mapping algorithm according to the environmental data and the screen data, and define the color gamut multi-dimensionality of the liquid crystal display screen, wherein the color gamut multi-dimensionality includes color accuracy, color gamut coverage, color uniformity, and brightness stability; A color gamut intelligent recognition module is used to establish a multi-dimensional color gamut evaluation model for the liquid crystal display screen according to the multi-dimensional color gamut, and analyze the color gamut value of the color gamut parameters through the multi-dimensional color gamut evaluation model, optimize the color gamut parameters through the color gamut value to obtain optimized color gamut parameters, and perform color gamut intelligent recognition of the liquid crystal display screen based on the optimized color gamut parameters.

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