A method for extracting chrominance features of an LED display screen

Abstract

The application provides an LED display screen chroma feature extraction method and system, and belongs to the technical field of feature extraction, and specifically comprises the following steps: determining the reference extraction quantity of the chroma feature points of the divided region based on the regional deviation quantity and the comprehensive deviation quantity, obtaining the chroma deviation quantity of the divided region and the adjacent region under different brightness, and determining the correction extraction quantity under different brightness in combination with the chroma feature deviation quantity between the divided region and the adjacent region under different brightness, and extracting the chroma features of the different divided regions of the LED display screen under different brightness through the extraction quantity and the reference extraction quantity, so that the chroma feature extraction of the different divided regions is realized from the perspective of the chroma deviation condition.

Description

Technical Field

[0001] This invention belongs to the field of feature extraction technology, and particularly relates to a method for extracting chromaticity features of LED displays. Background Technology

[0002] Before LED displays leave the factory, their color uniformity needs to be evaluated. Color uniformity is one of the important indicators for evaluating the quality of LED displays. Therefore, it is of great significance to extract the image features of LED displays to achieve accurate evaluation of their color uniformity.

[0003] To address the aforementioned technical problems, this invention provides a method for extracting chromaticity features from an LED display screen. Summary of the Invention

[0004] To achieve the objectives of this invention, the following technical solution is adopted: According to one aspect of the present invention, a method for extracting chromaticity features of an LED display screen is provided.

[0005] A method for extracting chromaticity features from an LED display screen, characterized in that it specifically includes: S1 determines the chromaticity characteristics of different color spaces in different division areas of the LED display screen under different brightness by using preset feature points, and determines the chromaticity deviation and comprehensive deviation of different division areas under different brightness based on the deviation of the chromaticity characteristics of different preset feature points. When the comprehensive deviation of the division area meets the requirements, proceed to the next step. S2 determines the adjacent regions of the divided region by position and takes them as adjacent regions. Based on the deviation of the chromatographic characteristics of the divided region and the adjacent region under different brightness, the region deviation of the divided region is determined. When the region deviation meets the requirements, the reference extraction number of chromaticity feature points of the divided region is determined based on the region deviation and the comprehensive deviation. S3 obtains the chromaticity deviation of the divided region and adjacent regions under different brightness levels, and determines the number of correction extractions under different brightness levels by combining the chromaticity deviation of the divided region and adjacent regions under different brightness levels. S4 extracts the chromaticity features of different division areas of the LED display screen under different brightness levels using the extraction quantity and the baseline extraction quantity.

[0006] A further technical solution is that the LED display screen is divided into regions based on a preset area, wherein the preset area is determined based on the area of ​​the LED display screen, and the larger the area of ​​the LED display screen, the larger the preset area.

[0007] A further technical solution is that the color space is constructed based on the HSV color space.

[0008] A further technical solution is that the reference brightness is determined based on the optimal operating brightness of the LED display screen.

[0009] A further technical solution is that when the brightness deviation between the brightness and the reference brightness meets the requirements, the brightness is determined to be within the commonly used brightness range.

[0010] A further technical solution is that when the regional deviation amount does not meet the requirements, the divided region is taken as the chromaticity deviation region, and the chromaticity feature points of the divided region are determined according to a preset number, and the chromaticity features of the divided region are extracted.

[0011] Secondly, the present invention provides a computer storage medium storing a computer program, which, when executed in a computer, causes the computer to perform the above-described method for extracting color features of an LED display screen.

[0012] The beneficial technical effects of this invention are as follows: 1. Based on the deviation of chromaticity features of different preset feature points, the chromaticity deviation and comprehensive deviation of different division regions under different brightness are determined. This enables accurate evaluation of the chromaticity deviation of different division regions under different brightness, screening of division regions with more severe chromaticity deviation, and laying the foundation for further extraction of differentiated chromaticity features based on the chromaticity deviation of different division regions.

[0013] 2. The baseline number of chromaticity feature points extracted for each region is determined based on the regional deviation and the comprehensive deviation. This not only considers the chromaticity deviation of a single region but also the chromaticity deviation between it and adjacent regions, thus achieving an accurate assessment of the chromaticity deviation of the region. The number of chromaticity feature points extracted is adjusted based on the chromaticity deviation, ensuring both extraction efficiency and accuracy in assessing the chromaticity deviation of regions with large chromaticity deviations.

[0014] 3. By extracting the chromaticity features of different regions of the LED display screen under different brightness levels using the extraction quantity and the baseline extraction quantity, a foundation is laid for the differential extraction of chromaticity features based on the basic chromaticity deviation and the chromaticity deviation of the LED display screen under different brightness levels, ensuring the accuracy of the final chromaticity uniformity assessment.

[0015] Other features and advantages will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0016] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0017] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0018] Figure 1 This is a flowchart of a method for extracting chromaticity features from an LED display screen. Figure 2 This is a flowchart illustrating the method for determining the amount of color deviation; Figure 3 This is a flowchart illustrating the method for determining the overall deviation. Detailed Implementation

[0019] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0020] The following will describe the scheme through Examples 1 and 2. Example

[0021] To solve the above problems, according to one aspect of the present invention, such as Figure 1 As shown, according to one aspect of the present invention, a method for extracting chromaticity features of an LED display screen is provided, characterized in that it specifically includes: S1 determines the chromaticity characteristics of different color spaces in different division areas of the LED display screen under different brightness by using preset feature points, and determines the chromaticity deviation and comprehensive deviation of different division areas under different brightness based on the deviation of the chromaticity characteristics of different preset feature points. When the comprehensive deviation of the division area meets the requirements, proceed to the next step. S2 determines the adjacent regions of the divided region by position and takes them as adjacent regions. Based on the deviation of the chromatographic characteristics of the divided region and the adjacent region under different brightness, the region deviation of the divided region is determined. When the region deviation meets the requirements, the reference extraction number of chromaticity feature points of the divided region is determined based on the region deviation and the comprehensive deviation. S3 obtains the chromaticity deviation of the divided region and adjacent regions under different brightness levels, and determines the number of correction extractions under different brightness levels by combining the chromaticity deviation of the divided region and adjacent regions under different brightness levels. S4 extracts the chromaticity features of different division areas of the LED display screen under different brightness levels using the extraction quantity and the baseline extraction quantity.

[0022] It should be noted that the division of the LED display screen is based on a preset area, wherein the preset area is determined according to the area of ​​the LED display screen, and the larger the area of ​​the LED display screen, the larger the preset area.

[0023] Furthermore, the color space is constructed based on the HSV color space.

[0024] Specific examples, such as Figure 2 The method for determining the chromaticity deviation in the above steps is as follows: Obtain the chromaticity features of different preset feature points of the divided region under a specific brightness, and determine the reference chromaticity features of the divided region under a specific brightness based on the median of the chromaticity features of the preset feature points; The deviation feature points and consistent feature points of the divided region under a specific brightness are determined by the deviation amount between the chromaticity features of different preset feature points of the divided region and the reference chromaticity features. The deviation amount evaluation value of the deviation feature points of the divided region under a specific brightness is determined according to the number of deviation feature points and the deviation amount of different deviation feature points. The average value of the deviation between the chromaticity features of different preset feature points in the divided region and the reference chromaticity features is obtained, and the chromaticity deviation of the divided region under a specific brightness is determined by combining the number of consistent feature points in the divided region and the deviation evaluation value of the deviation feature points.

[0025] In another example, the method for determining the chromaticity deviation in the above steps is as follows: Obtain the chromaticity features of different preset feature points of the divided region under a specific brightness, and determine the reference chromaticity features of the divided region under a specific brightness based on the median of the chromaticity features of the preset feature points; The deviation between the chromaticity features of different preset feature points in the divided region and the reference chromaticity features is used to determine whether there are deviation feature points in the divided region under a specific brightness. If yes, proceed to the next step. If no, the chromaticity deviation of the divided region under a specific brightness is determined by the average value of the deviations of different preset feature points in the divided region. Based on the number of deviation feature points and the deviation amount of different deviation feature points, determine the deviation amount evaluation value of the deviation feature points of the divided region under a specific brightness. Determine whether the average deviation amount is less than a preset threshold. If yes, proceed to the next step. If no, determine the chromaticity deviation amount of the divided region under a specific brightness through the deviation amount evaluation value. Determine whether the proportion of the number of consistent feature points is greater than a preset proportion. If so, determine the chromaticity deviation of the divided region under a specific brightness by the average of the deviation of different preset feature points in the divided region. If not, proceed to the next step. The average value of the deviation between the chromaticity features of different preset feature points in the divided region and the reference chromaticity features is obtained, and the chromaticity deviation of the divided region under a specific brightness is determined by combining the number of consistent feature points in the divided region and the deviation evaluation value of the deviation feature points.

[0026] In another example, the method for determining the chromaticity deviation in the above steps is as follows: Obtain the chromaticity features of different preset feature points of the divided region under a specific brightness, and determine the reference chromaticity features of the divided region under a specific brightness based on the median of the chromaticity features of the preset feature points; When it is determined that there are no consistent feature points in the divided region at a specific brightness by the deviation between the chromaticity features of different preset feature points in the divided region and the reference chromaticity features, the chromaticity deviation of the divided region at a specific brightness is determined by the average value of the deviations of the different preset feature points in the divided region. When it is determined that the segmented region has consistent feature points at a specific brightness based on the deviation amount, if the proportion of the number of consistent feature points is greater than a preset proportion, then the chromaticity deviation of the segmented region at the specific brightness is determined by the average of the deviation amounts of different preset feature points in the segmented region. When the proportion of the number of consistent feature points is not greater than the preset proportion, the deviation value of the deviation feature points of the divided region under a specific brightness is determined according to the number of deviation feature points and the deviation of different deviation feature points. It is then determined whether the average value of the deviation is less than a preset threshold. If yes, proceed to the next step; otherwise, determine the chromaticity deviation of the divided region under a specific brightness through the deviation value. The average value of the deviation between the chromaticity features of different preset feature points in the divided region and the reference chromaticity features is obtained, and the chromaticity deviation of the divided region under a specific brightness is determined by combining the number of consistent feature points in the divided region and the deviation evaluation value of the deviation feature points.

[0027] Specific examples, such as Figure 3 As shown, the method for determining the comprehensive deviation is as follows: The brightness of the LED display screen is divided into commonly used brightness ranges and other brightness ranges, and the deviation brightness under different brightness levels is determined according to the chromaticity deviation. The range luminance deviation of the commonly used luminance range is determined based on the number of deviation luminances in the commonly used luminance range and the amount of color deviation under different luminances. The range luminance deviation of the other luminance ranges is determined based on the number of deviation luminances in the other luminance ranges and the amount of color deviation under different luminances. The weight values ​​of the other brightness ranges and the common brightness range are determined based on the brightness deviations of the different brightness ranges from the reference brightness and the brightness deviations of the different brightness ranges from the reference brightness, respectively. The comprehensive deviation is determined by combining the interval brightness deviation of the common brightness range and the interval brightness deviation of the other brightness ranges.

[0028] Furthermore, the reference brightness is determined based on the optimal operating brightness of the LED display screen.

[0029] It is understood that when the brightness deviation between the brightness and the reference brightness meets the requirements, the brightness is determined to be within the commonly used brightness range.

[0030] In another example, the method for determining the comprehensive deviation in the above steps is as follows: The brightness of the LED display screen is divided into a common brightness range and other brightness ranges, and the deviation brightness under different brightness is determined according to the chromaticity deviation. When the number of deviation brightness does not meet the requirements, it is determined that the comprehensive deviation of the divided area does not meet the requirements. When the number of deviation brightnesses meets the requirements, the overall deviation of the deviation brightnesses is determined based on the number of deviation brightnesses and the color deviation of different deviation brightnesses. When the overall deviation of the deviation brightnesses does not meet the requirements, the overall deviation of the divided area is determined to not meet the requirements. When the overall deviation of the deviation brightness meets the requirements, the interval brightness deviation of the commonly used brightness interval is determined according to the number of deviation brightness in the commonly used brightness interval and the color deviation under different brightness. When the interval brightness deviation of the commonly used brightness interval does not meet the requirements, it is determined that the comprehensive deviation of the divided area does not meet the requirements. When the interval brightness deviation of the commonly used brightness range meets the requirements, the interval brightness deviation of the other brightness range is determined based on the number of deviation brightness in the other brightness range and the color deviation under different brightness. The weight values ​​of the other brightness ranges and the common brightness range are determined based on the brightness deviations of the different brightness ranges from the reference brightness and the brightness deviations of the different brightness ranges from the reference brightness, respectively. The comprehensive deviation is determined by combining the interval brightness deviation of the common brightness range and the interval brightness deviation of the other brightness ranges.

[0031] In another example, the method for determining the comprehensive deviation in the above steps is as follows: The brightness of the LED display screen is divided into a common brightness range and other brightness ranges. The deviation brightness under different brightness is determined according to the color deviation. The overall deviation of the deviation brightness is determined according to the number of deviation brightness and the color deviation of different deviation brightness. It is determined whether the overall deviation of the deviation brightness does not meet the requirements. If yes, it is determined that the comprehensive deviation of the divided area does not meet the requirements. If no, proceed to the next step. Obtain the number of deviation brightness in the commonly used brightness range, and determine whether the number of deviation brightness in the commonly used brightness range meets the requirements. If yes, proceed to the next step; otherwise, determine that the comprehensive deviation of the divided area does not meet the requirements. The interval brightness deviation of the commonly used brightness range is determined based on the number of deviation brightness in the commonly used brightness range and the color deviation under different brightness. It is then determined whether the interval brightness deviation of the commonly used brightness range does not meet the requirements. If so, it is determined that the comprehensive deviation of the divided area does not meet the requirements. If not, proceed to the next step. The range luminance deviation of the other luminance ranges is determined based on the number of deviations in luminance of the other luminance ranges and the amount of color deviation under different luminance levels. The weight values ​​of the other brightness ranges and the common brightness range are determined based on the brightness deviations of the different brightness ranges from the reference brightness and the brightness deviations of the different brightness ranges from the reference brightness, respectively. The comprehensive deviation is determined by combining the interval brightness deviation of the common brightness range and the interval brightness deviation of the other brightness ranges.

[0032] It should be noted that when the overall deviation of the divided region does not meet the requirements, the divided region is regarded as a chromaticity deviation region, and the chromaticity feature points of the divided region are determined according to a preset number, and the chromaticity features of the divided region are extracted.

[0033] For example, the method for determining the regional deviation of the divided areas is as follows: The number of adjacent regions with different deviations and the interval distance between the adjacent regions with different deviations and the divided region are determined based on the deviation of the chromatographic characteristics of the divided region and the adjacent regions at different brightness levels. The adjacent color deviation of the divided region at different brightness levels is determined by combining the deviation of the chromatographic characteristics of the adjacent regions. Different weight values ​​for brightness are determined based on the deviation of different brightness values ​​from the reference brightness, and the regional deviation of the divided region is determined by combining the adjacent chromaticity deviation of the divided region under different brightness values.

[0034] In another example, the method for determining the regional deviation of the divided areas in the above steps is as follows: The number of adjacent regions with different brightness levels is determined based on the deviation of the chromatographic characteristics between the divided region and the adjacent region at different brightness levels. When the number of adjacent regions with different brightness levels does not meet the requirement and the number of brightness levels is greater than the preset number of brightness levels, it is determined that the regional deviation of the divided region does not meet the requirement. When the number of adjacent deviation regions does not meet the requirement and the number of brightness is not greater than the preset number of brightness, the total number of adjacent deviation regions is determined according to the number of adjacent deviation regions under different brightness. When the total number of adjacent deviation regions does not meet the requirement, it is determined that the regional deviation of the divided region does not meet the requirement. When the total number of adjacent deviation regions meets the requirements, the adjacent chromaticity deviation of the divided region at different brightness levels is determined based on the number of adjacent deviation regions of the divided region at different brightness levels, the interval distance between the different adjacent deviation regions and the divided region, and the deviation amount of the chromaticity characteristics of the different adjacent regions. When the number of brightness levels where the adjacent chromaticity deviation amount does not meet the requirements is greater than the preset number of brightness levels, it is determined that the regional deviation amount of the divided region does not meet the requirements. When the number of brightnesses whose adjacent chromaticity deviations do not meet the requirements is greater than the preset number of brightnesses, different weight values ​​of brightness are determined according to the deviations of different brightnesses from the reference brightness, and the regional deviation of the divided region is determined by combining the adjacent chromaticity deviations of the divided region under different brightnesses.

[0035] It is understandable that when the regional deviation does not meet the requirements, the divided region is taken as the chromaticity deviation region, and the chromaticity feature points of the divided region are determined according to a preset number, and the chromaticity features of the divided region are extracted.

[0036] Furthermore, the baseline number of chromaticity feature points extracted from the divided regions is determined based on the regional deviation and the comprehensive deviation, specifically including: The deviation evaluation amount of the divided region is determined based on the regional deviation amount and the comprehensive deviation amount, and the reference extraction number of chromaticity feature points of the divided region is determined based on the deviation evaluation amount.

[0037] For example, the method for determining the corrected extraction quantity in the above steps is as follows: The comprehensive chromaticity deviation at a specific brightness is determined based on the chromaticity deviation of the divided region and the chromaticity deviation of different adjacent regions. Other chromaticity deviations at a specific brightness are determined by the deviation of the chromaticity characteristics between the divided region and adjacent regions at a specific brightness. The correction extraction quantity at a specific brightness is determined based on the comprehensive chromaticity deviation and other chromaticity deviations. Example

[0038] On the other hand, the present invention provides a computer storage medium storing a computer program, which, when executed in a computer, causes the computer to perform the above-described method for extracting color features of an LED display screen.

[0039] Based on the above embodiments, this application achieves the following beneficial effects: 1. Based on the deviation of chromaticity features of different preset feature points, the chromaticity deviation and comprehensive deviation of different division regions under different brightness are determined. This enables accurate evaluation of the chromaticity deviation of different division regions under different brightness, screening of division regions with more serious chromaticity deviation, and laying the foundation for further extraction of differentiated chromaticity features based on the chromaticity deviation of different division regions. 2. The baseline number of chromaticity feature points extracted for each region is determined based on the regional deviation and the comprehensive deviation. This not only considers the chromaticity deviation of a single region but also the chromaticity deviation between it and adjacent regions, thus achieving an accurate assessment of the chromaticity deviation of the region. The number of chromaticity feature points extracted is adjusted based on the chromaticity deviation, ensuring both extraction efficiency and accuracy in assessing the chromaticity deviation of regions with large chromaticity deviations. 3. By extracting the chromaticity features of different regions of the LED display screen under different brightness levels using the extraction quantity and the baseline extraction quantity, a foundation is laid for the differential extraction of chromaticity features based on the basic chromaticity deviation and the chromaticity deviation of the LED display screen under different brightness levels, ensuring the accuracy of the final chromaticity uniformity assessment.

[0040] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0041] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0042] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A method for extracting chromaticity features from an LED display screen, characterized in that, Specifically, it includes: The chromaticity characteristics of different color spaces in different division areas of the LED display screen under different brightness are determined by preset feature points, and the chromaticity deviation and comprehensive deviation of different division areas under different brightness are determined based on the deviation of the chromaticity characteristics of different preset feature points. When the comprehensive deviation of the division area meets the requirements, the next step is carried out. The adjacent regions of the divided region are determined by location and are taken as adjacent regions. The region deviation of the divided region is determined based on the deviation of the chromaticity features between the divided region and the adjacent region under different brightness. When the region deviation meets the requirements, the reference number of chromaticity feature points of the divided region is determined based on the region deviation and the comprehensive deviation. Obtain the chromaticity deviation of the divided region and its adjacent regions under different brightness levels, and determine the correction extraction quantity under different brightness levels by combining the chromaticity feature deviation between the divided region and its adjacent regions under different brightness levels. The chromaticity features of different division areas of the LED display screen under different brightness levels are extracted using the corrected extraction quantity and the baseline extraction quantity.

2. The method for extracting chromaticity features of an LED display screen as described in claim 1, characterized in that, The LED display screen is divided into areas based on a preset area, wherein the preset area is determined based on the area of ​​the LED display screen, and the larger the area of ​​the LED display screen, the larger the preset area.

3. The method for extracting chromaticity features of an LED display screen as described in claim 1, characterized in that, The color space is constructed based on the HSV color space.

4. The method for extracting chromaticity features of an LED display screen as described in claim 1, characterized in that, The method for determining the chromaticity deviation is as follows: Obtain the chromaticity features of different preset feature points of the divided region under a specific brightness, and determine the reference chromaticity features of the divided region under a specific brightness based on the median of the chromaticity features of the preset feature points; The deviation feature points and consistent feature points of the divided region under a specific brightness are determined by the deviation amount between the chromaticity features of different preset feature points of the divided region and the reference chromaticity features. The deviation amount evaluation value of the deviation feature points of the divided region under a specific brightness is determined according to the number of deviation feature points and the deviation amount of different deviation feature points. The average value of the deviation between the chromaticity features of different preset feature points in the divided region and the reference chromaticity features is obtained, and the chromaticity deviation of the divided region under a specific brightness is determined by combining the number of consistent feature points in the divided region and the deviation evaluation value of the deviation feature points.

5. The method for extracting chromaticity features of an LED display screen as described in claim 1, characterized in that, The method for determining the comprehensive deviation is as follows: The brightness of the LED display screen is divided into commonly used brightness ranges and other brightness ranges, and the deviation brightness under different brightness levels is determined according to the chromaticity deviation. The interval chromaticity deviation of the commonly used brightness range is determined based on the number of deviation brightness in the commonly used brightness range and the amount of chromaticity deviation under different brightness levels. The interval chromaticity deviation of the other brightness ranges is determined based on the number of deviation brightness in the other brightness ranges and the amount of chromaticity deviation under different brightness levels. The weight values ​​of the other brightness ranges and the common brightness range are determined based on the brightness deviations of the different brightness ranges from the reference brightness and the brightness deviations of the different brightness ranges from the reference brightness, respectively. The comprehensive deviation is determined by combining the interval chromaticity deviation of the common brightness range and the interval chromaticity deviation of the other brightness ranges.

6. The method for extracting chromaticity features of an LED display screen as described in claim 5, characterized in that, The reference brightness is determined based on the optimal operating brightness of the LED display screen.

7. The method for extracting chromaticity features of an LED display screen as described in claim 6, characterized in that, When the brightness deviation between the brightness and the reference brightness meets the requirements, the brightness is determined to be within the commonly used brightness range.

8. The method for extracting chromaticity features of an LED display screen as described in claim 1, characterized in that, When the overall deviation of the divided region does not meet the requirements, the divided region is regarded as a chromaticity deviation region, and the chromaticity feature points of the divided region are determined according to a preset number, and the chromaticity features of the divided region are extracted.

9. The method for extracting chromaticity features of an LED display screen as described in claim 1, characterized in that, When the deviation amount of the region does not meet the requirements, the divided region is taken as the chromaticity deviation region, and the chromaticity feature points of the divided region are determined according to the preset number, and the chromaticity features of the divided region are extracted.

10. A computer storage medium storing a computer program, wherein when the computer program is executed in a computer, the computer executes the LED display screen chromaticity feature extraction method according to any one of claims 1-9.

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