CN117524017A - Halation measurement method, system and storage medium for display device - Google Patents
- ️Tue Feb 06 2024
CN117524017A - Halation measurement method, system and storage medium for display device - Google Patents
Halation measurement method, system and storage medium for display device Download PDFInfo
-
Publication number
- CN117524017A CN117524017A CN202310632732.1A CN202310632732A CN117524017A CN 117524017 A CN117524017 A CN 117524017A CN 202310632732 A CN202310632732 A CN 202310632732A CN 117524017 A CN117524017 A CN 117524017A Authority
- CN
- China Prior art keywords
- measurement
- gray
- halation
- measurement region
- area Prior art date
- 2023-05-31 Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000691 measurement method Methods 0.000 title claims abstract description 23
- 238000005259 measurement Methods 0.000 claims abstract description 245
- 238000012360 testing method Methods 0.000 claims abstract description 74
- 125000001475 halogen functional group Chemical group 0.000 claims abstract description 65
- 238000000034 method Methods 0.000 claims abstract description 28
- 230000010354 integration Effects 0.000 claims description 11
- 238000001914 filtration Methods 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 7
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 235000002566 Capsicum Nutrition 0.000 description 1
- 239000006002 Pepper Substances 0.000 description 1
- 235000016761 Piper aduncum Nutrition 0.000 description 1
- 235000017804 Piper guineense Nutrition 0.000 description 1
- 244000203593 Piper nigrum Species 0.000 description 1
- 235000008184 Piper nigrum Nutrition 0.000 description 1
- 230000001174 ascending effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/006—Electronic inspection or testing of displays and display drivers, e.g. of LED or LCD displays
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
- G09G3/22—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources
- G09G3/30—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources using electroluminescent panels
- G09G3/32—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources using electroluminescent panels semiconductive, e.g. using light-emitting diodes [LED]
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
- G09G3/34—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source
- G09G3/3406—Control of illumination source
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2330/00—Aspects of power supply; Aspects of display protection and defect management
- G09G2330/12—Test circuits or failure detection circuits included in a display system, as permanent part thereof
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Image Analysis (AREA)
Abstract
The embodiment of the application discloses a halation measurement method, a halation measurement system and a storage medium of a display device, wherein the method comprises the steps of shooting an image displayed by the display device to be tested to obtain a test image; calculating a gray average value L of a first measurement area in the test image Bright Gray-scale average L of second measurement region Dark and dark Gray-scale average L of third measurement region Halation (halation) According to the gray average value L of the first measurement region Bright The gray average value L of the second measurement region Dark and dark The gray average value L of the third measurement area Halation (halation) Halo value is calculated by the following formula:wherein halo represents a halo value.The method and the device aim to quickly determine the halation value of the display device, so that the method and the device can be used for evaluating the display performance of the display device, and are high in automation degree.
Description
Technical Field
The present application relates to the field of display technologies, and in particular, to a halo measurement method, a halo measurement system, and a storage medium for a display device.
Background
Halo is one of typical image problems of display devices such as MiniLED backlight, and halo refers to the appearance of a "halo" at the edge of the outline of a bright object when the display device displays a picture, thereby affecting the look and feel of a user when viewing. Therefore, how to obtain the halo value of a display device such as a MiniLED backlight is a problem to be solved in order to determine the display performance of the display device.
Disclosure of Invention
Embodiments of the present application provide a halo measurement method, system and storage medium for a display device, so as to solve the deficiencies in the related art.
According to a first aspect of an embodiment of the present invention, there is provided a halo measurement method of a display device, the method including:
shooting an image displayed by a display device to be tested to obtain a test image, wherein the test image comprises a first pattern area and a second pattern area positioned on the periphery of the first pattern area, and the gray value of the first pattern area is larger than that of the second pattern area;
calculating a gray average value L of a first measurement area in the test image Bright Gray-scale average L of second measurement region Dark and dark Gray-scale average L of third measurement region Halation (halation) The first measuring area, the second measuring area and the third measuring area are the same, the first measuring area is located in the first pattern area, the second measuring area is located in the second pattern area and is far away from the boundary of the first pattern area, and the third measuring area is located in the second pattern area and is close to the boundary of the first pattern area;
according to the gray average value L of the first measurement area Bright The gray average value L of the second measurement region Dark and dark The gray average value L of the third measurement area Halation (halation) Halo value is calculated by the following formula:
wherein halo represents a halo value.
Optionally, in some embodiments of the present application, the step of capturing an image displayed by the display device to be tested to obtain a test image includes:
shooting an image displayed by a display device to be tested under a set exposure time to obtain a test image;
and carrying out median filtering treatment on the test image.
Optionally, in some embodiments of the present application, the gray-scale average value L of the first measurement region in the test image is calculated Bright Gray-scale average L of second measurement region Dark and dark Gray-scale average L of third measurement region Halation (halation) Before the step of (a), the method further comprises:
a first measurement region, a second measurement region, and a third measurement region are determined on the test image.
Optionally, in some embodiments of the present application, the step of determining the first measurement region, the second measurement region, and the third measurement region on the test image includes:
calculating an integral radius R;
performing binarization processing on the test image;
acquiring the center coordinates of the first measurement area, the center coordinates of the second measurement area and the center coordinates of the third measurement area from the binarized test image;
determining the position of the first measuring area according to the central coordinate of the first measuring area and the integral radius R;
determining the position of the second measurement area according to the central coordinate of the second measurement area and the integral radius R;
and determining the position of the third measuring area according to the central coordinate of the third measuring area and the integral radius R.
Optionally, in some embodiments of the present application, the step of calculating the determined integration radius R includes:
acquiring a screen size A of the display device, and an aspect ratio m: n, the resolution ratio W is H, and the diameter D of an external brightness measurement caliber is preset;
the integral radius R is calculated by the following formula:
optionally, in some embodiments of the present application, the step of obtaining the center coordinates of the first measurement area in the test image after the binarization processing, the center coordinates of the second measurement area and the center coordinates of the third measurement area includes:
acquiring coordinates (X 1 ,Y 1 ) And the coordinates (X 2 ,Y 2 );
According to (X 1 ,Y 1 ) And (X) 2 ,Y 2 ) Calculating a center coordinate (X 1 ,Y 1 ) The center coordinates (X 1 +0.4W,Y 1 +0.4H), the center coordinates (X 2 +R,Y 2 +R)。
Optionally, in some embodiments of the present application, the calculating obtains a gray average value L in the first measurement region Bright The gray average value L in the second measurement region Dark and dark And a gray-scale average L in the third measurement region Halation (halation) The method comprises the following steps:
l is calculated by the following formula Bright 、L Dark and dark L and halation (halation) :Wherein A is the gray accumulated value of the pixel points in the first measurement area or the second measurement area or the third measurement area, and L is the gray average value.
Optionally, in some embodiments of the present application, the gray-scale average value L of the first measurement region in the test image is calculated Bright Gray-scale average L of second measurement region Dark and dark Gray-scale average L of third measurement region Halation (halation) The method comprises the following steps:
acquiring a gray scale accumulated value in the first measurement area by the following formulaCalculating to obtain L Bright Wherein N is the gray scale accumulated value in the first measurement region;
Acquiring a gray scale accumulated value in the second measurement area by the following formulaCalculating to obtain L Dark and dark Wherein M is a gray scale accumulated value in the second measurement region;
acquiring gray scale accumulated values of a plurality of different third measurement areas by the following formulaCalculating to obtain gray average values of the third measurement areas, wherein X is a gray accumulated value in one of the third measurement areas, L is a gray average value in one of the third measurement areas, and calculating an average value of the gray average values L of the third measurement areas to obtain L Halation (halation) 。
According to a second aspect of an embodiment of the present invention, there is provided a halo measurement system of a display device, including:
the image acquisition unit is used for shooting an image displayed by the display device to be tested to obtain a test image;
a calculation unit for calculating and obtaining the gray average value L of the first measurement region in the test image Bright Gray-scale average L of second measurement region Dark and dark Gray-scale average L of third measurement region Halation (halation) And for root
Wherein halo represents a halo value.
According to a third aspect of embodiments of the present invention, there is provided a storage medium storing a plurality of instructions adapted to be loaded by a processor for execution to implement the steps of any of the methods described above.
According to the above embodiments, the halo measuring method of the display device of the present application first captures a display image of the display device to be tested to obtain a test image, and determines that the display image is located in the test imageThe first measuring area in the first pattern area, the second measuring area which is positioned in the second pattern area of the test image and is far away from the boundary of the first pattern area, and the third measuring area which is positioned in the second pattern area of the test image and is close to the boundary of the first pattern area. Then the gray average value L of the first measurement area is obtained through calculation Bright Gray-scale average L of second measurement region Dark and dark Gray-scale average L of third measurement region Halation (halation) Then according to the gray average value L of the first measurement region Bright Gray-scale average L of second measurement region Dark and dark Gray-scale average L of third measurement region Halation (halation) A halo value of the display device is calculated and determined. The method can rapidly determine the halation value of the display device, so that the method can be used for evaluating the display performance of the display device, and is simple in calculation and high in automation degree.
Drawings
FIG. 1 is a flow chart of a halo measurement method of a display device provided by the present application;
FIG. 2 is a schematic diagram of a test image of a halo measurement method of a display device provided by the present application;
fig. 3 is a flowchart of the step of capturing a display image of a display device to be tested to obtain a test image in the halo measurement method of a display device provided in the present application;
FIG. 4 is a flowchart of the steps in the halo measurement method of the display device provided herein for determining a first measurement region, a second measurement region, and a third measurement region on the test image;
FIG. 5 is a flowchart of the steps in the halo measurement method of the display device provided herein for determining a first measurement region, a second measurement region, and a third measurement region on the test image;
FIG. 6 is a flowchart of the step of calculating the determined integration radius R in the halo measurement method of the display device provided herein;
fig. 7 is a flowchart of a step of obtaining center coordinates of the first measurement region, center coordinates of the second measurement region, and center coordinates of the third measurement region in the binarized test image in the halo measurement method of the display device provided by the present application;
FIG. 8 is a gray-scale average L of a first measurement region in the test image calculated in the halo measurement method of the display device provided by the present application Bright Gray-scale average L of second measurement region Dark and dark Gray-scale average L of third measurement region Halation (halation) A flow chart of the steps of (a);
fig. 9 is a block diagram of a halo measurement system of a display device provided herein.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application. Furthermore, it should be understood that the detailed description is presented herein for purposes of illustration and explanation only and is not intended to limit the present application. In this application, unless otherwise indicated, terms of orientation such as "upper" and "lower" are used to generally refer to the upper and lower positions of the device in actual use or operation, and specifically the orientation of the drawing figures; while "inner" and "outer" are for the outline of the device.
The embodiment of the application provides a halo measurement method of a display device, which can obtain a halo value of the display device, as shown in fig. 1 and fig. 2, and the method includes:
shooting a display image of a display device to be tested to obtain a test image 100, wherein the test image 100 comprises a first pattern area 100A and a second pattern area 100B positioned on the periphery side of the first pattern area 100A, and the gray value of the first pattern area 100A is larger than the gray value of the second pattern area 100B;
calculating a gray average value L of the first measurement region 100a in the test image 100 Bright The gray average value L of the second measurement region 100b Dark and dark Third measurementGray scale mean L of region 100c Halation (halation) Wherein the areas of the first measurement region 100A, the second measurement region 100B and the third measurement region 100c are the same, the first measurement region 100A is located in the first pattern region 100A, the second measurement region 100B is located in the second pattern region 100B and away from the boundary of the first pattern region 100A, and the third measurement region 100c is located in the second pattern region 100B and close to the boundary of the first pattern region 100A;
according to the gray average L of the first measurement region 100a Bright The gray average value L of the second measurement region 100b Dark and dark And a gray-scale average L of the third measurement region 100c Halation (halation) The halo value is determined by calculation of the following formula:wherein halo represents a halo value.
It can be understood that in the halo measuring method of the display device of the present application, firstly, a display image of the display device to be tested is photographed to obtain a test image 100, and then a gray average value L of a first measurement area 100a in the test image 100 is calculated Bright The gray average value L of the second measurement region 100b Dark and dark Gray-scale average L of third measurement region 100c Halation (halation) Then according to the gray average value L of the first measurement region 100a Bright The gray average value L of the second measurement region 100b Dark and dark Gray-scale average L of third measurement region 100c Halation (halation) A halo value of the display device is calculated and determined. Therefore, the method can rapidly display the halation value of the device, can be used for evaluating the display performance of the display device, and has the advantages of simple calculation and high automation degree.
The halation measurement method of the display device will be described in detail below:
referring to fig. 1 and 2, the halo measuring method of the display device includes: shooting a display image of a display device to be tested to obtain a test image 100, wherein the test image 100 comprises a first pattern area 100A and a second pattern area 100B positioned on the periphery side of the first pattern area 100A, and the gray value of the first pattern area 100A is larger than the gray value of the second pattern area 100B;
the gray level of the display image of the display device to be tested can be 12 bits, so that the accuracy of the 12bit image is better, and the accurate brightness information image can be obtained. The display device to be tested can be shot through an image acquisition unit such as an industrial camera, further, in order to improve the accuracy of halation detection, before shooting, the image acquisition unit and the display device are subjected to pixel positioning, namely, one pixel of the image acquisition unit corresponds to the ratio of one pixel of the display device. At the same time, adjusting the exposure parameters of the image capturing unit may be performed by adjusting the exposure parameters in order to make the generated halation more noticeable, i.e., to make the brightness of the second pattern area 100B brighter in the vicinity of the first pattern area 100A, but it is necessary to avoid exceeding the gray level of the display image to prevent overexposure.
The display image of the display device to be tested may include a first region and a second region located at a peripheral side of the first region, the gray value of the first region may be 225, the gray value of the second region may be 0, that is, the first region may be displayed in white and the second region may be displayed in black, and the first region may be located at a center of the display image or at an edge of the display image. Therefore, the gray values of the first area and the second area of the display image are larger, when the display image of the display device to be tested is shot to obtain the test image 100, the first pattern area 100A of the test image 100 corresponds to the first area, the second pattern area 100B of the test image 100 corresponds to the second area, the gray value of the first pattern area 100A is larger than the gray value of the second pattern area 100B, the gray values of the first pattern area and the second pattern area are larger, the generated halation is more obvious, and the accuracy of the follow-up halation measurement value is improved.
Calculating a gray average value L of the first measurement region 100a in the test image 100 Bright The gray average value L of the second measurement region 100b Dark and dark Gray-scale average L of third measurement region 100c Halation (halation) Wherein the first measurement region 100a, the second measurement region 100b and the third measurement region100c are the same, the first measurement region 100A is located in the first pattern region 100A, the second measurement region 100B is located in the second pattern region 100B and away from the boundary of the first pattern region 100A, and the third measurement region 100c is located in the second pattern region 100B and close to the boundary of the first pattern region 100A;
the first pattern area 100A occupies 10% of the area of the test image 100, so as to ensure that the area of the second pattern area 100B is larger, so as to ensure that the gray value difference between the second measurement area 100B and the third measurement area 100c in the second pattern area 100B is larger, so that the generated halation is more obvious, and the accuracy of the subsequent halation measurement value is improved.
According to the gray average L of the first measurement region 100a Bright The gray average value L of the second measurement region 100b Dark and dark And a gray-scale average L of the third measurement region 100c Halation (halation) The halo value is determined by calculation of the following formula:wherein halo represents a halo value. Wherein the smaller the halo value is to indicate that the display effect of the display device is better.
Referring to fig. 3, further, the step of capturing a display image of the display device to be tested to obtain a test image 100 includes:
shooting at a set exposure time to obtain a test image 100;
and performing median filtering processing on the test image 100.
When the test image 100 needs to be repeatedly photographed multiple times, the exposure time of each photographed image needs to be kept the same, so as to calculate the halo value at the same latitude. And the test image 100 may be noise-reduced by a median filtering method. The median filtering is a nonlinear signal processing technology capable of effectively suppressing noise based on a sequencing statistical theory, and the basic principle of median filtering is to replace the value of a pixel in a digital image or a digital sequence with the median value of each pixel value in a neighborhood of the pixel, so that surrounding pixel values are close to a true value, and isolated noise points are eliminated. The specific process is to use a two-dimensional sliding template with a certain structure to sort pixels in the plate according to the size of pixel values, and generate a monotonically ascending (or descending) two-dimensional data sequence. The method of median filtering is adopted to eliminate salt and pepper noise generated in the shooting process for the test image 100, and accuracy of subsequent halo value measurement is improved.
Referring to fig. 4, further, in the calculating, the gray average value L of the first measurement region 100a in the test image 100 is obtained Bright The gray average value L of the second measurement region 100b Dark and dark Gray-scale average L of third measurement region 100c Halation (halation) The steps of (a) further comprise:
a first measurement region 100a, a second measurement region 100b and a third measurement region 100c are determined on the test image 100.
Wherein the positions of the first measurement region 100a, the second measurement region 100b, and the third measurement region 100c are determined by determining coordinate points on the test image 100, so as to facilitate the subsequent calculation of the gray-scale average value for each measurement region.
Referring to fig. 5, further, the step of determining the first measurement region 100a, the second measurement region 100b, and the third measurement region 100c on the test image 100 includes:
calculating and determining an integral radius R;
performing binarization processing on the test image 100, and obtaining center coordinates of the first measurement region 100a, center coordinates of the second measurement region 100b and center coordinates of the third measurement region 100c in the binarized test image 100;
determining the position of the first measurement region 100a according to the central coordinate of the first measurement region 100a and the integration radius R;
determining the position of the second measurement region 100b according to the central coordinate of the second measurement region 100b and the integration radius R;
the position of the third measurement area 100c is determined based on the center coordinates of the third measurement area 100c and the integration radius R.
Wherein the test image 100 is binarized to obtain a binarized image. In the binarization processing, a binarization threshold value may be first determined, a pixel value of a pixel whose pixel value is smaller than the binarization threshold value may be set as a minimum gray value such as 0, and a pixel value of a pixel whose pixel value is greater than or equal to the binarization threshold value may be set as a maximum gray value such as 255. So that the gray values of the first pattern region 100A and the second pattern region 100B are greatly different, it is easier to determine the respective coordinate positions within the first pattern region 100A and the second pattern region 100B in order to subsequently determine the center coordinate positions of the first measurement region 100A, the second measurement region 100B, and the third measurement region 100c, and unify the integration radius R in order to ensure that the areas of the first measurement region 100A, the second measurement region 100B, and the third measurement region 100c are equal. The region positions of the first measurement region 100a and the second measurement region 100b can be determined by calculating the region position of the first measurement region 100a by taking the center coordinates of the first measurement region 100a as the center and the integrated radius R as the radius.
Referring to fig. 6, further, the step of calculating the determined integration radius R includes:
acquiring a screen size A of the display device, and an aspect ratio m: n, the resolution ratio W is H, and the diameter D of an external brightness measurement caliber is preset;
the integral radius R is calculated by the following formula:
the display screen has a size A of inches, and the diameter D of the preset external brightness measuring caliber has a value range of 4mm to 27mm. W is the pixel length in the length direction of the display screen, H is the pixel length in the width direction of the display screen, and the integration radius R is determined by the above formula so as to ensure the determination of the areas of the first measurement region 100a, the second measurement region 100b, and the third measurement region 100c.
Referring to fig. 7, further, the step of obtaining the center coordinates of the first measurement region 100a, the center coordinates of the second measurement region 100b, and the center coordinates of the third measurement region 100c in the binarized test image 100 includes:
acquiring coordinates (X of a center point of the first pattern area 100A 1 ,Y 1 ) And the coordinates (X) of the boundary of the first pattern region 100A 2 ,Y 2 );
According to (X 1 ,Y 1 ) And (X) 2 ,Y 2 ) The center coordinates (X 1 ,Y 1 ) The center coordinates (X 1 +0.4W,Y 1 +0.4h), the center coordinates (X 2 +R,Y 2 +R)。
By taking the center point of the first pattern area 100A as the center coordinate of the first measurement area 100A, the first measurement area 100A can be located at the center position of the first pattern area 100A, so that the gray values in the first measurement area 100A can be larger, and thus can be used as a bright area. And the center coordinate of the second measurement region 100b is (X 1 +0.4W,Y 1 +0.4h) such that the second measurement region 100B is located at a side of the first pattern region 100A away from the second pattern region 100B, such that gray values within the second measurement region 100B are small, thereby functioning as a dark region. And the center coordinate of the third measurement region 100c is set to (X 2 +R,Y 2 +r) such that the third measurement region 100c is located at one side of the first pattern region 100A where the second pattern region 100B is close to, such that the third measurement region 100c is located at the intersection of the bright and dark regions to serve as a halo region. The center coordinates of the third measurement area 100c may be located at any edge of the first pattern area 100A, for example, the left edge or the lower edge.
Further, the calculation obtains a gray level average value L in the first measurement region 100a Bright The gray average value L in the second measurement region 100b Dark and dark And a gray-scale average L in the third measurement region 100c Halation (halation) The method comprises the following steps:
l is calculated by the following formula Bright ,L Dark and dark L and halation (halation) :Wherein a is a gray scale accumulated value of the pixel points in the first measurement region 100a or the second measurement region 100b or the third measurement region 100c, and L is a gray scale average value.
Wherein the gray scale accumulated value in the first measurement region 100a is obtained by determining the gray scale values of all pixels in the first measurement region 100a and then accumulating, and then determining the integration radius R from the area of the first measurement region 100a according to the formulaCalculating to obtain a gray average value L of the first measurement region 100a Bright . Similarly, the accumulated gray values in the second measurement region 100b and the third measurement region 100c are obtained, and then the gray average value L of the second measurement region 100b is obtained by calculation according to the formula Dark and dark Gray-scale average L of third measurement region 100c Halation (halation) 。
Referring to fig. 8, optionally, a gray-scale average L of the first measurement region 100a in the test image 100 is calculated Bright The gray average value L of the second measurement region 100b Dark and dark Gray-scale average L of third measurement region 100c Halation (halation) The method comprises the following steps:
acquiring a gray scale accumulated value in the first measurement region 100a by the following formulaCalculating to obtain L Bright Where N is the gray scale accumulated value within the first measurement region 100 a;
acquiring the gray-scale accumulated value in the second measurement region 100b by the following formulaCalculating to obtain L Dark and dark Wherein M is a secondMeasuring the gray scale accumulated value in the region 100 b;
acquiring a plurality of different gray scale accumulated values of the third measurement region 100c by the following formulaCalculating a gray average value of the third measurement areas 100c, wherein X is a gray accumulated value in one of the third measurement areas 100c, L is a gray average value in one of the third measurement areas 100c, and calculating an average value of the gray average values L of the third measurement areas 100c to obtain L Halation (halation) 。
Wherein the gray scale accumulated value in the first measurement region 100a is obtained by determining the gray scale values of all pixels in the first measurement region 100a and then accumulating, and then determining the integration radius R from the area of the first measurement region 100a according to the formulaCalculating to obtain a gray average value L of the first measurement region 100a Bright . Similarly, the gray scale accumulated value in the second measurement region 100b is obtained, and then the gray scale average value L of the second measurement region 100b is obtained by calculation according to the formula Dark and dark . On the other hand, a plurality of third measurement regions 100c can be determined on the test image 100, and then gray-scale accumulated values of a plurality of different third measurement regions 100c can be obtained by the following formula +.>Calculating the gray average value of the third measurement areas 100c, and taking the average value of the gray average values of the third measurement areas 100c to obtain L Halation (halation) The third measurement region 100c corresponds to a halo region, such that the gray level average L of the halo region corresponds to Halation (halation) More accurate, so as to ensure the accuracy of the follow-up calculation of the halation value of the display device.
Referring to fig. 9, an embodiment of the present invention further provides a halo measurement system of a display device, the system including: an image acquisition unit 10 and a calculation unit 20;
the image acquisition unit is used for shooting an image displayed by the display device to be tested to obtain a test image;
a calculation unit for calculating and obtaining the gray average value L of the first measurement region in the test image Bright Gray-scale average L of second measurement region Dark and dark Gray-scale average L of third measurement region Halation (halation) And for root
Wherein halo represents a halo value.
The image acquisition unit 10 described above may be a component or device having an image acquisition function, such as a camera, video camera, or image sensor.
In addition, in the present embodiment, the image acquisition unit 10 acquires the display image of the display device to be tested to obtain the test image, and sends the test image to the calculation unit 20 for calculation to obtain the halo value of the display device, in the system, the image acquisition unit 10 may be used as a separate device, in another possible implementation, the image acquisition unit 10 and the calculation unit 20 may be integrated into one device at the same time, which is not limited in the present embodiment.
Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be performed by instructions, or by controlling associated hardware by instructions, which may be stored in a storage medium and loaded and executed by a processor.
To this end, embodiments of the present application provide a storage medium having stored therein a plurality of instructions capable of being loaded by a processor to perform steps in a halo measurement method of any one of the display devices provided in the embodiments of the present application.
The specific implementation of each operation above may be referred to the previous embodiments, and will not be described herein.
Wherein the storage medium may include: a Read Only Memory 30 (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like.
While embodiments of the present invention have been shown and described, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made within the scope of the invention by those of ordinary skill in the art.
Claims (10)
1. A halo measurement method of a display device, comprising:
shooting an image displayed by a display device to be tested to obtain a test image, wherein the test image comprises a first pattern area and a second pattern area positioned on the periphery of the first pattern area, and the gray value of the first pattern area is larger than that of the second pattern area;
calculating a gray average value L of a first measurement area in the test image Bright Gray-scale average L of second measurement region Dark and dark Gray-scale average L of third measurement region Halation (halation) The first measuring area, the second measuring area and the third measuring area are the same, the first measuring area is located in the first pattern area, the second measuring area is located in the second pattern area and is far away from the boundary of the first pattern area, and the third measuring area is located in the second pattern area and is close to the boundary of the first pattern area;
according to the gray average value L of the first measurement area Bright The gray average value L of the second measurement region Dark and dark The gray average value L of the third measurement area Halation (halation) Halo value is calculated by the following formula:
wherein halo represents a halo value.
2. The halo measuring method of a display device according to claim 1, wherein the step of photographing an image displayed by the display device to be tested to obtain a test image comprises:
shooting an image displayed by a display device to be tested under a set exposure time to obtain a test image;
and carrying out median filtering treatment on the test image.
3. The halo measuring method of a display device according to claim 1, wherein a gray-scale average value L of a first measurement region in the test image is obtained by the calculation Bright Gray-scale average L of second measurement region Dark and dark Gray-scale average L of third measurement region Halation (halation) Before the step of (a), the method further comprises:
a first measurement region, a second measurement region, and a third measurement region are determined on the test image.
4. A halo measurement method of a display device according to claim 3, wherein the step of determining the first measurement region, the second measurement region and the third measurement region on the test image comprises:
calculating an integral radius R;
performing binarization processing on the test image;
acquiring the center coordinates of the first measurement area, the center coordinates of the second measurement area and the center coordinates of the third measurement area from the binarized test image;
determining the position of the first measuring area according to the central coordinate of the first measuring area and the integral radius R;
determining the position of the second measurement area according to the central coordinate of the second measurement area and the integral radius R;
and determining the position of the third measuring area according to the central coordinate of the third measuring area and the integral radius R.
5. The halo measurement method of a display device according to claim 4, wherein the step of calculating the determined integration radius R includes:
acquiring a screen size A of the display device, and an aspect ratio m: n, the resolution ratio W is H, and the diameter D of an external brightness measurement caliber is preset;
the integral radius R is calculated by the following formula:
6. the halo measuring method of a display device according to claim 5, wherein the step of acquiring the center coordinates of the first measurement region, the center coordinates of the second measurement region, and the center coordinates of the third measurement region in the binarized test image comprises:
acquiring coordinates (X 1 ,Y 1 ) And the coordinates (X 2 ,Y 2 );
According to (X 1 ,Y 1 ) And (X) 2 ,Y 2 ) Calculating a center coordinate (X 1 ,Y 1 ) The center coordinates (X 1 +0.4W,Y 1 +0.4H), the center coordinates (X 2 +R,Y 2 +R)。
7. The halo measurement method of a display device according to claim 6, wherein said calculating obtains a gray-scale average value L in said first measurement region Bright A gray average value L in the second measurement region Dark and dark And a gray-scale average L in the third measurement region Halation (halation) The method comprises the following steps:
l is calculated by the following formula Bright 、L Dark and dark L and halation (halation) :Wherein A is the gray accumulated value of the pixel points in the first measurement area or the second measurement area or the third measurement area, and L is the gray average value.
8. The halation measurement method of the display device according to claim 6, wherein the gray-scale average L of the first measurement area in the test image is calculated Bright Gray-scale average L of second measurement region Dark and dark Gray-scale average L of third measurement region Halation (halation) The method comprises the following steps:
acquiring a gray scale accumulated value in the first measurement area by the following formulaCalculating to obtain L Bright Wherein N is a gray scale accumulated value in the first measurement area;
acquiring a gray scale accumulated value in the second measurement area by the following formulaCalculating to obtain L Dark and dark Wherein M is a gray scale accumulated value in the second measurement region;
acquiring gray scale accumulated values of a plurality of different third measurement areas by the following formulaCalculating to obtain gray average values of the third measurement areas, wherein X is a gray accumulated value in one of the third measurement areas, L is a gray average value in one of the third measurement areas, and calculating an average value of the gray average values L of the third measurement areas to obtain L Halation (halation) 。
9. A halo measurement system of a display device, comprising:
the image acquisition unit is used for shooting an image displayed by the display device to be tested to obtain a test image;
a calculation unit for calculating and obtaining the gray average value L of the first measurement region in the test image Bright Gray-scale average L of second measurement region Dark and dark Gray-scale average L of third measurement region Halation (halation) And for providing a gray-scale average L according to the first measurement region Bright The gray average value L of the second measurement region Dark and dark The gray average value L of the third measurement area Halation (halation) Halo value is calculated by the following formula:wherein halo represents a halo value.
10. A storage medium storing a plurality of instructions adapted to be loaded by a processor to perform the steps of the halo measurement method of a display device of any one of claims 1 to 8.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310632732.1A CN117524017A (en) | 2023-05-31 | 2023-05-31 | Halation measurement method, system and storage medium for display device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310632732.1A CN117524017A (en) | 2023-05-31 | 2023-05-31 | Halation measurement method, system and storage medium for display device |
Publications (1)
Publication Number | Publication Date |
---|---|
CN117524017A true CN117524017A (en) | 2024-02-06 |
Family
ID=89744464
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202310632732.1A Pending CN117524017A (en) | 2023-05-31 | 2023-05-31 | Halation measurement method, system and storage medium for display device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN117524017A (en) |
-
2023
- 2023-05-31 CN CN202310632732.1A patent/CN117524017A/en active Pending
Similar Documents
Publication | Publication Date | Title |
---|---|---|
KR101662846B1 (en) | 2016-10-06 | Apparatus and method for generating bokeh in out-of-focus shooting |
CN109997351B (en) | 2021-02-23 | Method and apparatus for generating high dynamic range images |
JP2004357277A (en) | 2004-12-16 | Digital image processing method |
WO2017215527A1 (en) | 2017-12-21 | Hdr scenario detection method, device, and computer storage medium |
CN108416817B (en) | 2022-04-19 | Automatic residual image correction coefficient obtaining method |
CN113469971B (en) | 2023-10-13 | Image matching method, detection device and storage medium |
TW201702600A (en) | 2017-01-16 | Measuring device, measuring method and program for rotating the spherical body |
Nevriyanto et al. | 2017 | Image enhancement using the image sharpening, contrast enhancement, and Standard Median Filter (Noise Removal) with pixel-based and human visual system-based measurements |
CN111368596A (en) | 2020-07-03 | Face recognition backlight compensation method and device, readable storage medium and equipment |
CN115797233A (en) | 2023-03-14 | Image gray correction method, visual detection method and device |
JP2017130794A (en) | 2017-07-27 | Information processing apparatus, evaluation chart, evaluation system, and performance evaluation method |
CN110288560B (en) | 2021-03-02 | Image blur detection method and device |
CN113469171A (en) | 2021-10-01 | Method, device and medium for identifying interest area in SFR test card image |
CN115760653A (en) | 2023-03-07 | Image correction method, device, equipment and readable storage medium |
CN112233032B (en) | 2022-04-26 | A method for removing ghosts in high dynamic range images |
CN117524017A (en) | 2024-02-06 | Halation measurement method, system and storage medium for display device |
CN108805883B (en) | 2021-04-16 | A kind of image segmentation method, image segmentation device and electronic equipment |
CN115423804B (en) | 2023-03-21 | Image calibration method and device and image processing method |
CN117745552A (en) | 2024-03-22 | Self-adaptive image enhancement method and device and electronic equipment |
JP2004134861A (en) | 2004-04-30 | Resolution evaluation method, resolution evaluation program, and optical apparatus |
US10958899B2 (en) | 2021-03-23 | Evaluation of dynamic ranges of imaging devices |
CN113034553B (en) | 2025-01-03 | Evaluation method, terminal and storage medium of image registration algorithm |
CN115272173A (en) | 2022-11-01 | Tin ball defect detection method and device, computer equipment and storage medium |
CN112712499B (en) | 2022-02-01 | Object detection method and device and computer readable storage medium |
JPH10269352A (en) | 1998-10-09 | Image processing apparatus and method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
2024-02-06 | PB01 | Publication | |
2024-02-06 | PB01 | Publication | |
2024-02-27 | SE01 | Entry into force of request for substantive examination | |
2024-02-27 | SE01 | Entry into force of request for substantive examination |