CN114018550A - Screen detection method for detecting dark spots according to screen color and color value distribution - Google Patents
Screen detection method for detecting dark spots according to screen color and color value distribution Download PDFInfo
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Abstract
The invention belongs to the technical field of screen detection, in particular to a screen detection method for detecting dark spots according to screen color and color value distribution, which specifically comprises the following steps: setting at least two punctuations on a screen to be detected; the image acquisition module acquires a test image of a screen and generates an image to be tested; the image information sending module sends the generated image to be detected to an upper computer for displaying and generates a preset threshold value; the comparison module is used for comparing the color values of the pixel points in the image to be detected with a preset threshold value one by one; the position calibration module is used for calibrating the position of the dark spot obtained in the fourth step; the collection of the screen image to be detected is realized through the collection camera, the movement of the collection camera is realized through the installation module, the screen image to be detected is collected, the judgment and the recording of the dark spot of the screen to be detected are realized through the upper computer, the detection process is very convenient, the detection efficiency is high, the detection cost is low, and the detection precision is greatly improved by utilizing the gray image detection method of edge detection.
Description
Technical Field
The invention belongs to the technical field of screen detection, and particularly relates to a screen detection method for detecting dark spots according to screen color and color value distribution, which is used for detecting a mobile phone screen.
Background
The screen is an electric appliance for displaying images and colors, and is divided into a screen and a screen, also called a display screen, wherein a dark spot is a blind spot in a visual field or a weak visual area, each pixel of liquid crystal consists of 3 pixel units of red, green and blue, the liquid crystal can be abstractly regarded as a television wall for displaying pictures, each pixel unit corresponds to a driving tube, when the driving tube is damaged, the corresponding pixel lacks a color unit, so that a bright spot or a dark spot appears during display, and the bright spot or the dark spot belongs to a liquid crystal dead spot.
Dead pixels can be roughly divided into two categories, where dark dead pixels are "black dots" that cannot display content regardless of changes in the screen display content.
Color values: a color refers to a color value to which the color corresponds in different color modes. For example, the corresponding value of red in the RGB color mode is 255, 0, 0; the corresponding values of green in the RGB color mode are 0, 255, 0; the corresponding values for blue in the RGB color mode are 0, 0, 255.
The traditional screen detection method is high in cost, low in detection efficiency and low in detection precision.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a screen detection method for detecting dark spots according to the color and color value distribution of a screen, and the method has the characteristics of low cost, high detection efficiency and high detection precision.
In order to achieve the purpose, the invention provides the following technical scheme: a screen detection method for detecting dark spots according to screen color and color value distribution comprises an upper computer, an image acquisition module, an image information sending module, a comparison module and a position calibration module, and specifically comprises the following steps:
the method comprises the following steps: setting at least two punctuations on a screen to be detected, wherein the punctuations are used for determining the accurate position of the screen to be detected obtained by an image acquisition module;
step two: the image acquisition module acquires a test image of a screen and generates an image to be tested;
step three: the image information sending module sends the generated image to be detected to an upper computer for displaying and generates a preset threshold value;
step four: the comparison module is used for comparing the color values of the pixel points in the image to be detected with a preset threshold value one by one to obtain the number of dark points in the current screen;
step five: and the position calibration module is used for calibrating the position of the dark spot acquired in the step four.
As a preferred technical scheme of the invention, the image acquisition module is an acquisition camera and is connected with an upper computer; still include the frame the inboard upper end of frame is fixed with the installation module, the lower extreme is fixed with the backup pad, it installs to gather the camera on the installation module, and install in the backup pad and be used for bearing the test table of the screen that awaits measuring.
As a preferred technical scheme of the invention, the positions of the punctuations are arranged at the edge of the screen to be measured.
As a preferred technical solution of the present invention, the mounting module is a three-axis linear module.
As a preferred technical solution of the present invention, the third step specifically includes:
step 1: the upper computer converts the received color image to be detected into a gray image;
step 2: setting a threshold value, and then carrying out corresponding processing on the gray threshold value of the image;
step 3: the gray scale image is divided into image blocks of a predetermined size.
As a preferred technical solution of the present invention, the fourth step further includes determining that the pixel point is a dark point when the value of the pixel point is smaller than the predetermined gray threshold.
As a preferred technical solution of the present invention, the fourth step further includes judging whether the number of dark spots in the current image to be tested meets the national standard, and evaluating the screen to be tested according to the judgment result.
As a preferred technical scheme of the invention, the detection device further comprises a threaded column, wherein two symmetrically distributed mounting blocks are fixed on the top surface of the supporting plate, the threaded column is transversely erected between the two mounting blocks by utilizing a bearing support, a sliding block is fixed on the bottom surface of the detection platform, and the threaded column penetrates through the sliding block and is connected with the sliding block in a threaded screwing mode; and a hand wheel is arranged at the end part of the threaded column.
Compared with the prior art, the invention has the beneficial effects that: the collection of the screen image to be detected is realized through the collection camera, the movement of the collection camera is realized through the installation module, the screen image to be detected is collected, the judgment and the recording of the dark spot of the screen to be detected are realized through the upper computer, the detection process is very convenient, the detection efficiency is high, the detection cost is low, and the detection precision is greatly improved by utilizing the gray image detection method of edge detection.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a schematic diagram of a detecting device according to the present invention;
in the figure: 1. a frame; 2. installing a module; 3. collecting a camera; 4. a support plate; 5. a detection table; 6. a slider; 7. mounting blocks; 8. a threaded post; 9. a handwheel.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
Referring to fig. 1-2, the present invention provides the following technical solutions: a screen detection method for detecting dark spots according to screen color and color value distribution comprises an upper computer, an image acquisition module, an image information sending module, a comparison module and a position calibration module, and specifically comprises the following steps:
the method comprises the following steps: setting at least two punctuations on a screen to be detected, wherein the punctuations are used for determining the accurate position of the screen to be detected obtained by an image acquisition module;
step two: the image acquisition module acquires a test image of a screen and generates an image to be tested;
step three: the image information sending module sends the generated image to be detected to an upper computer for displaying and generates a preset threshold value;
step four: the comparison module is used for comparing the color values of the pixel points in the image to be detected with a preset threshold value one by one to obtain the number of dark points in the current screen;
step five: and the position calibration module is used for calibrating the position of the dark spot acquired in the step four.
Specifically, according to fig. 1 and fig. 2, in this embodiment, the image acquisition module is an acquisition camera 3 and is connected to an upper computer; still include frame 1, be fixed with installation module 2 in the inboard upper end of frame 1, the lower extreme is fixed with backup pad 4, gather camera 3 and install on installation module 2, and install the test table 5 that is used for bearing the screen that awaits measuring in backup pad 4, the screen that awaits measuring is placed and is detected on detecting table 5, installation module 2 drive gathers camera 3 and removes, gathers the punctuation of the screen that awaits measuring to confirm that image acquisition module obtains the accurate position of the screen that awaits measuring.
Specifically, according to fig. 1 and fig. 2, in this embodiment, the positions of the punctuations are set at the edge of the screen to be detected, so as to perform edge detection.
Specifically, according to fig. 1 and fig. 2, in this embodiment, the installation module 2 is a three-axis linear module, and can drive the collecting camera 3 to move in the X direction, the Y direction, and the Z direction.
Specifically, as shown in fig. 1 and fig. 2, in this embodiment, step three specifically includes:
step 1: the upper computer converts the received color image to be detected into a gray image;
step 2: setting a threshold value, and then carrying out corresponding processing on the gray threshold value of the image;
step 3: the gray scale image is divided into image blocks of a predetermined size.
The present embodiment converts a color image into a grayscale image by a weighted average method:
equation 1:
Sv＝0.299rv+0.587gv+0.114bv
in the above formula, SvIs the gray value obtained after the color image conversion, and rv、gvAnd bvThe gray values of the three channels in the RGB image, respectively.
Specifically, as shown in fig. 1 and fig. 2, in this embodiment, the fourth step further includes determining that the pixel point is a dark point when the value of the pixel point is smaller than the predetermined gray threshold.
The thresholding is to set a threshold, and if the threshold is higher than the gray value of a certain pixel, the pixel is considered as the interested target point, and if the threshold is lower than the gray value of a certain pixel, the pixel is considered as the background target point.
Assuming that the pixel value at the gradation image is f, after being subjected to the processing of the threshold value, the pixel value at the gradation image becomes g, and the threshold value is set to T0Then the following formula can be obtained:
equation 2:
in the above formula, (i, j) is a gray image, and 1 and 0 represent a pixel point in the screen to be tested and a background pixel point, respectively.
The invention utilizes an edge enhancement filter to extract the edge information in the image from a spatial domain:
in the spatial domain, assume that the image to be measured is f (x, y), and the Gaussian function is expressed as
Using a kernel width of σ1Gaussian kernel function of
Is convoluted to obtain
In the formula
Representing a convolution operation; for the same reason, the width of the kernel is σ2Gaussian kernel function of
Is convoluted to obtain
g1(x，y)-g2(x, y) obtaining a Gaussian difference image g12(x, y), namely:
equation 3:
from the above formula, f (x, y) is represented by
Filtered image, now defining a Gaussian difference filter
Equation 3 becomes:
equation 4:
g12(x，y)＝d(x，y，δ1，δ2)*f(x，y)
substituting the Gaussian function into a formula 4 to obtain a DOG operator:
equation 5:
in this embodiment, σ1＝5.0，σ2＝1.0
Specifically, as shown in fig. 1 and fig. 2, in this embodiment, the fourth step further includes determining whether the number of dark spots in the current image to be tested meets the national standard, and evaluating the screen to be tested according to the determination result.
Example 2
Referring to fig. 1-2, the present invention provides the following technical solutions: a screen detection method for detecting dark spots according to screen color and color value distribution comprises an upper computer, an image acquisition module, an image information sending module, a comparison module and a position calibration module, and specifically comprises the following steps:
the method comprises the following steps: setting at least two punctuations on a screen to be detected, wherein the punctuations are used for determining the accurate position of the screen to be detected obtained by an image acquisition module;
step two: the image acquisition module acquires a test image of a screen and generates an image to be tested;
step three: the image information sending module sends the generated image to be detected to an upper computer for displaying and generates a preset threshold value;
step four: the comparison module is used for comparing the color values of the pixel points in the image to be detected with a preset threshold value one by one to obtain the number of dark points in the current screen;
step five: and the position calibration module is used for calibrating the position of the dark spot acquired in the step four.
Specifically, according to fig. 1 and fig. 2, in this embodiment, the image acquisition module is an acquisition camera 3 and is connected to an upper computer; still include frame 1, be fixed with installation module 2 in the inboard upper end of frame 1, the lower extreme is fixed with backup pad 4, gather camera 3 and install on installation module 2, and install the test table 5 that is used for bearing the screen that awaits measuring in backup pad 4, the screen that awaits measuring is placed and is detected on detecting table 5, installation module 2 drive gathers camera 3 and removes, gathers the punctuation of the screen that awaits measuring to confirm that image acquisition module obtains the accurate position of the screen that awaits measuring.
Specifically, according to fig. 1 and fig. 2, in this embodiment, the positions of the punctuations are set at the edge of the screen to be detected, so as to perform edge detection.
Specifically, according to fig. 1 and fig. 2, in this embodiment, the installation module 2 is a three-axis linear module, and can drive the collecting camera 3 to move in the X direction, the Y direction, and the Z direction.
Specifically, as shown in fig. 1 and fig. 2, in this embodiment, step three specifically includes:
step 1: the upper computer converts the received color image to be detected into a gray image;
step 2: setting a threshold value, and then carrying out corresponding processing on the gray threshold value of the image;
step 3: the gray scale image is divided into image blocks of a predetermined size.
This embodiment converts an RGB color image into a grayscale image by a weighted average method:
equation 1:
Sv＝0.299rv+0.587gv+0.114bv
in the above formula, SvIs the gray value obtained after the color image conversion, and rv、gvAnd bvThe gray values of the three channels in the RGB image, respectively.
Specifically, as shown in fig. 1 and fig. 2, in this embodiment, the fourth step further includes determining that the pixel point is a dark point when the value of the pixel point is smaller than the predetermined gray threshold.
The thresholding is to set a threshold, and if the threshold is higher than the gray value of a certain pixel, the pixel is considered as the interested target point, and if the threshold is lower than the gray value of a certain pixel, the pixel is considered as the background target point.
Assuming that the pixel value at the gradation image is f, after being subjected to the processing of the threshold value, the pixel value at the gradation image becomes g, and the threshold value is set to T0Then the following formula can be obtained:
equation 2:
in the above formula, (i, j) is a gray image, and 1 and 0 represent a pixel point in the screen to be tested and a background pixel point, respectively.
The invention utilizes an edge enhancement filter to extract the edge information in the image from a spatial domain:
in the spatial domain, assume that the image to be measured is f (x, y), and the Gaussian function is expressed as
Using a kernel width of σ1Gaussian kernel function of
Is convoluted to obtain
In the formula
Representing a convolution operation; for the same reason, the width of the kernel is σ2Gaussian kernel function of
Is convoluted to obtain
g1(x，y)-g2(x, y) obtaining a Gaussian difference image g12(x, y), namely:
equation 3:
from the above formula, f (x, y) is represented by
Filtered image, now defining a Gaussian difference filter
Equation 3 becomes:
equation 4:
g12(x，y)＝d(x，y，δ1，δ2)*f(x，y)
substituting the Gaussian function into a formula 4 to obtain a DOG operator:
equation 5:
in this embodiment, σ1＝5.0，σ2＝1.0
Specifically, as shown in fig. 1 and fig. 2, in this embodiment, the fourth step further includes determining whether the number of dark spots in the current image to be tested meets the national standard, and evaluating the screen to be tested according to the determination result.
Specifically, as shown in fig. 1 and fig. 2, in this embodiment, the detection device further includes a threaded column 8, two symmetrically distributed mounting blocks 7 are fixed on the top surface of the support plate 4, the threaded column 8 is transversely erected between the two mounting blocks 7 by using a bearing support, a slider 6 is fixed on the bottom surface of the detection table 5, and the threaded column 8 penetrates through the slider 6 and is connected with the slider 6 in a threaded manner; install hand wheel 9 at the tip of screw thread post 8, when necessary, rotatable hand wheel 9 and drive screw thread post 8 make screw thread post 8 control slider 6 rotatory under the screw thread closes the effect soon, and slider 6 can drive and detect platform 5 and remove, and the fine setting detects the position of platform 5 on the horizontal direction, and this regulation makes the device adaptation to the detection that is the different screens of size mostly.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. A screen detection method for detecting dark spots according to screen color and color value distribution is characterized by comprising an upper computer, an image acquisition module, an image information sending module, a comparison module and a position calibration module, and specifically comprises the following steps:
the method comprises the following steps: setting at least two punctuations on a screen to be detected, wherein the punctuations are used for determining the accurate position of the screen to be detected obtained by an image acquisition module;
step two: the image acquisition module acquires a test image of a screen and generates an image to be tested;
step three: the image information sending module sends the generated image to be detected to an upper computer for displaying and generates a preset threshold value;
step four: the comparison module is used for comparing the color values of the pixel points in the image to be detected with a preset threshold value one by one to obtain the number of dark points in the current screen;
step five: and the position calibration module is used for calibrating the position of the dark spot acquired in the step four.
2. The screen detection method for detecting the dark spots according to the screen color and the color value distribution as claimed in claim 1, wherein: the image acquisition module is an acquisition camera (3) and is connected with an upper computer; still include frame (1) the inboard upper end of frame (1) is fixed with installation module (2), lower extreme are fixed with backup pad (4), it installs to gather camera (3) install on installation module (2), just install on backup pad (4) and be used for bearing the test table (5) of the screen that awaits measuring.
3. The screen detection method for detecting the dark spots according to the screen color and the color value distribution as claimed in claim 1, wherein: the positions of the punctuations are arranged at the edge of the screen to be detected.
4. The screen detection method for detecting the dark spots according to the screen color and the color value distribution as claimed in claim 2, wherein: the mounting module (2) is a three-axis linear module.
5. The screen detection method for detecting the dark spots according to the screen color and the color value distribution as claimed in claim 1, wherein: the third step specifically comprises:
step 1: the upper computer converts the received color image to be detected into a gray image;
step 2: setting a threshold value, and then carrying out corresponding processing on the gray threshold value of the image;
step 3: the gray scale image is divided into image blocks of a predetermined size.
6. The screen detection method for detecting the dark spots according to the screen color and the color value distribution as claimed in claim 1, wherein: and step four, when the value of the pixel point is smaller than a preset gray threshold value, judging the pixel point to be a dark point.
7. The screen detection method for detecting the dark spots according to the screen color and the color value distribution as claimed in claim 1, wherein: and the fourth step of judging whether the number of the dark spots in the current image to be detected meets the national standard or not and evaluating the screen to be detected according to the judgment result.
8. The screen detection method for detecting the dark spots according to the screen color and the color value distribution as claimed in claim 2, wherein: the detection device is characterized by further comprising a threaded column (8), wherein two symmetrically distributed mounting blocks (7) are fixed on the top surface of the supporting plate (4), the threaded column (8) is transversely erected between the two mounting blocks (7) through a bearing support, a sliding block (6) is fixed on the bottom surface of the detection platform (5), and the threaded column (8) penetrates through the sliding block (6) and is connected with the sliding block (6) in a threaded screwing mode; and a hand wheel (9) is arranged at the end part of the threaded column (8).
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115183990A (en) * | 2022-09-09 | 2022-10-14 | 杭州光粒科技有限公司 | Display screen detection method and device |
| CN117872632A (en) * | 2024-03-08 | 2024-04-12 | 深圳市恒伟信业显示科技有限公司 | Broken bright spot detection method of liquid crystal display screen |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201170819Y (en) * | 2007-11-26 | 2008-12-24 | 均豪精密工业股份有限公司 | System for detecting and locating panel bad point of planar display |
| CN101446695A (en) * | 2007-11-26 | 2009-06-03 | 均豪精密工业股份有限公司 | Bad point detection and addressing method of liquid crystal display panel |
| CN105163114A (en) * | 2015-08-21 | 2015-12-16 | 深圳创维－Rgb电子有限公司 | Method and system for detecting screen dead pixel based on camera |
| CN107272234A (en) * | 2017-07-31 | 2017-10-20 | 上海斐讯数据通信技术有限公司 | A kind of detection method and system based on lcd panel test picture |
| CN210115611U (en) * | 2019-05-17 | 2020-02-28 | 贵溪市清亮照明科技有限公司 | Radiator processing device for LED lighting lamp production |
| CN210161001U (en) * | 2019-05-15 | 2020-03-20 | 贵溪市清亮照明科技有限公司 | Panel production fixing equipment for LED lighting lamp |
| CN111724375A (en) * | 2020-06-22 | 2020-09-29 | 中国科学院大学 | Screen detection method and system |
-
2021
- 2021-10-28 CN CN202111264289.4A patent/CN114018550A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201170819Y (en) * | 2007-11-26 | 2008-12-24 | 均豪精密工业股份有限公司 | System for detecting and locating panel bad point of planar display |
| CN101446695A (en) * | 2007-11-26 | 2009-06-03 | 均豪精密工业股份有限公司 | Bad point detection and addressing method of liquid crystal display panel |
| CN105163114A (en) * | 2015-08-21 | 2015-12-16 | 深圳创维－Rgb电子有限公司 | Method and system for detecting screen dead pixel based on camera |
| CN107272234A (en) * | 2017-07-31 | 2017-10-20 | 上海斐讯数据通信技术有限公司 | A kind of detection method and system based on lcd panel test picture |
| CN210161001U (en) * | 2019-05-15 | 2020-03-20 | 贵溪市清亮照明科技有限公司 | Panel production fixing equipment for LED lighting lamp |
| CN210115611U (en) * | 2019-05-17 | 2020-02-28 | 贵溪市清亮照明科技有限公司 | Radiator processing device for LED lighting lamp production |
| CN111724375A (en) * | 2020-06-22 | 2020-09-29 | 中国科学院大学 | Screen detection method and system |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115183990A (en) * | 2022-09-09 | 2022-10-14 | 杭州光粒科技有限公司 | Display screen detection method and device |
| CN115183990B (en) * | 2022-09-09 | 2022-12-23 | 杭州光粒科技有限公司 | Display screen detection method and device |
| CN117872632A (en) * | 2024-03-08 | 2024-04-12 | 深圳市恒伟信业显示科技有限公司 | Broken bright spot detection method of liquid crystal display screen |
| CN117872632B (en) * | 2024-03-08 | 2024-05-14 | 深圳市恒伟信业显示科技有限公司 | Broken bright spot detection method of liquid crystal display screen |
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