CN114663356A - Method and system for distinguishing interior dark spots and surface dust during detection of mobile phone screen module - Google Patents
Method and system for distinguishing interior dark spots and surface dust during detection of mobile phone screen module Download PDFInfo
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- 238000001514 detection method Methods 0.000 title claims abstract description 47
- 239000000428 dust Substances 0.000 title claims abstract description 45
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000001914 filtration Methods 0.000 claims abstract description 46
- 230000007547 defect Effects 0.000 claims abstract description 28
- 238000004519 manufacturing process Methods 0.000 claims abstract description 12
- 238000004088 simulation Methods 0.000 claims abstract description 7
- 238000012634 optical imaging Methods 0.000 claims description 10
- 239000011521 glass Substances 0.000 claims description 3
- 239000004973 liquid crystal related substance Substances 0.000 description 13
- 230000000694 effects Effects 0.000 description 10
- 238000003384 imaging method Methods 0.000 description 6
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G02—OPTICS
- G02F—OPTICAL DEVICES OR ARRANGEMENTS FOR THE CONTROL OF LIGHT BY MODIFICATION OF THE OPTICAL PROPERTIES OF THE MEDIA OF THE ELEMENTS INVOLVED THEREIN; NON-LINEAR OPTICS; FREQUENCY-CHANGING OF LIGHT; OPTICAL LOGIC ELEMENTS; OPTICAL ANALOGUE/DIGITAL CONVERTERS
- G02F1/00—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics
- G02F1/01—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour
- G02F1/13—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour based on liquid crystals, e.g. single liquid crystal display cells
- G02F1/1306—Details
- G02F1/1309—Repairing; Testing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
- G06T2207/20032—Median filtering
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
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- G06T2207/30121—CRT, LCD or plasma display
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Abstract
The invention relates to the technical field of display screen detection, in particular to a method and a system for distinguishing dark spots in the detection of a mobile phone screen module from surface dust, which comprises the following steps: s1, rapidly acquiring images of the mobile phone screen on the running simulation production line; s2, converting the collected image information into digital information and performing post image processing; s3, coarse detection: preliminarily positioning the area where the defect is located; s4, filtering and denoising the collected sample after the coarse detection processing; s5, fine positioning: and (5) further positioning the filtered and denoised sample in the step S4, accurately positioning the area where the defect is located, and distinguishing surface dust and dark spots inside the LCD. The invention has smart design, realizes the distinction of the dark spot and the surface dust which are puzzled in the image defect detection of the mobile phone screen, and effectively improves the working efficiency and the detection reliability.
Description
Technical Field
The invention relates to the technical field of display screen detection, in particular to a method and a system for distinguishing dark spots in the detection of a mobile phone screen module from surface dust.
Background
The production of liquid crystal displays has a very high technological content, the number of liquid crystals to be filled is large, and the scale of electronic circuits to be arranged is also quite remarkable. Under the process of so complicacy, the perfect nothing in the production process still can not be guaranteed to present science and technology, therefore a bit flaw in these two links in the production process, like the trouble of liquid crystal body uneven distribution or circuit itself, can cause the liquid crystal body in the LCD screen can not normal work, can not embody due electro-optic effect, will bring the image display defect for LCD. Common image display defects are LCD bright spots, dark spots, line defects, and the like. Therefore, the quality detection of the liquid crystal display screen is an indispensable part in the production process of various electronic products.
In the current industrial production, the digital image processing technology has been widely applied to the defect detection of products, and the application to the automatic defect inspection (AOI) equipment of display screens also comes, the current detection technology is mature, the accuracy of the detection yield reaches 80% of the level of the detection of artificial naked eyes, and dust and foreign matters on the surface of the liquid crystal display screen and dark spots inside the liquid crystal display screen cannot be distinguished in the imaging of an industrial camera. Therefore, at present, some products affected by dust are often detected as defective products by the detection equipment, and the dust, foreign matter and bad spots inside the liquid crystal are further identified by the reexamination of a user worker.
The method is simple, firstly, pure-color pictures (gray and black pictures) for detection are prestored in the mobile phone, then, the pictures are lightened and displayed on a screen of the mobile phone, the defect positions are detected through visual observation, and the dust is identified through changing the angle direction. This approach is time and labor consuming and cannot be scaled up. Meanwhile, the sensitivity of human eyes is gradually reduced along with the influence of observation time and environment, so that the observation efficiency and accuracy of the human eyes are directly influenced, too much manual detection means higher labor cost for production enterprises, and the burden of the enterprises is increased.
As shown in fig. 1, the imaging of dust on the surface of the LCD is too close to the imaging of dark spots inside the LCD, so that the AOI recognition system cannot distinguish the two, which seriously affects the detection efficiency. And at present, the smart phone has higher and higher requirements on dark spots in liquid crystal pixels, and the dark spots of about 0.1mm are required to be detected, so that tiny dust has greater influence on the yield.
Disclosure of Invention
The invention provides a method and a system for distinguishing the interior dark spots from the surface dust in the mobile phone screen module detection aiming at the problems in the prior art, has smart design, realizes the distinguishing of the dark spots and the surface dust which are troubled in the image defect detection of the mobile phone screen, and effectively improves the working efficiency and the detection reliability.
In order to solve the technical problems, the invention adopts the following technical scheme:
the invention provides a method for distinguishing dark spots in a mobile phone screen module during detection from surface dust, which comprises the following steps:
s1, rapidly acquiring images of the mobile phone screen on the running simulation production line;
s2, converting the collected image information into digital information and performing post image processing;
s3, coarse detection: preliminarily positioning the area where the defect is located;
s4, filtering and denoising the collected sample after the coarse detection processing;
s5, fine positioning: and (5) further positioning the filtered and denoised sample in the step S4, accurately positioning the area where the defect is located, and distinguishing surface dust and dark spots inside the LCD.
When the images of the mobile phone screen are collected in step S1, one main-view camera and four oblique-view cameras are used, the main-view camera is located at a position perpendicular to the position right above the mobile phone screen and collects the images of the mobile phone screen, and the four oblique-view cameras are arranged at an angle of 45 degrees with respect to the horizontal plane and face the mobile phone screen to collect the images.
After image acquisition is carried out right above a mobile phone screen and image acquisition is carried out on the mobile phone screen inclined by 45 degrees, a coordinate relation between an image shot by a main-view camera and an image shot by an oblique-view camera is established.
The filtering and denoising method in step S4 includes: sorting pixels of the image, dividing an image area into a flat area, a noise point and an edge detail area on the basis of extremum filtering, and filtering by adopting median filtering if the pixels in a filtering window are in the flat area and the noise point; if the pixel is not in the filtering window, the pixel is judged to be an edge detail area, and then no processing is carried out.
In step S5, since the surface dust is on the upper surface of the glass, the dot shape of the surface dust is shifted farther from the dark spot inside the LCD when the side view is compared with the front view.
The invention also provides a system for distinguishing the interior dark spots and the surface dust in the mobile phone screen module, which comprises an optical imaging system, a digital image processing system and a control terminal which are sequentially in signal connection;
the optical imaging system is used for rapidly acquiring images of a screen of a mobile phone on a running simulation production line;
the digital image processing system converts the acquired image information into digital information and performs post-image processing;
the control terminal is used for preliminarily positioning the area where the defect is located; filtering and denoising the acquired sample after the coarse detection processing; and further positioning the filtered and denoised sample, accurately positioning the area where the defect is located, and distinguishing surface dust and dark spots inside the LCD.
The optical imaging system comprises a main-view camera and four oblique-view cameras, wherein the main-view camera is located at a position vertical to the right above the mobile phone screen and is used for carrying out image acquisition on the mobile phone screen, and the four oblique-view cameras are arranged at an angle of 45 degrees relative to the horizontal plane and are used for carrying out image acquisition towards the mobile phone screen.
The invention has the beneficial effects that:
the invention has ingenious design, distinguishes the tiny dust and the dark spot of the liquid crystal in the liquid crystal screen defect detection system, carries out high-precision imaging on the mobile phone screen by adopting one main-view camera and four oblique-view cameras, detects the surface defect by combining the image processing technology, and adopts median filtering and denoising to improve the image enhancement effect, improve the guide filtering, take the improved image after the median filtering as the guide image, combine the high-efficiency edge keeping effect of the guide filtering with the improved smoothing effect of the median filtering, remove the noise of the low-illumination image, realize the distinguishing of the disturbing dark spot and the surface dust in the image defect detection of the mobile phone screen, and effectively improve the working efficiency and the detection reliability.
Drawings
FIG. 1 is a diagram of dust imaging on the surface of an LCD and dark spots inside the LCD.
Fig. 2 is a flowchart of a method for distinguishing interior dark spots from surface dust during the detection of a mobile phone screen module according to the present invention.
FIG. 3 is a diagram illustrating the detection results of the present invention.
Fig. 4 is a schematic view of an optical imaging system of a system for detecting dark spots inside and dust on the surface of a mobile phone screen module according to the present invention.
Detailed Description
In order to facilitate understanding of those skilled in the art, the present invention will be further described with reference to the following examples and drawings, which are not intended to limit the present invention. The present invention is described in detail below with reference to the attached drawings.
Example 1
A method for distinguishing interior dark spots and surface dust during detection of a mobile phone screen module comprises the following steps:
s1, rapidly acquiring images of the mobile phone screen on the running simulation production line;
s2, converting the collected image information into digital information and performing post image processing; eliminating the influence of the grid texture with alternating brightness and darkness among the pixels of the screen on the detection;
s3, coarse detection: preliminarily positioning the area where the defect is located;
s4, carrying out filtering and denoising on the collected sample after the coarse detection processing; the interference of dust and scratches on the surface of the screen on the detection is avoided;
s5, fine positioning: and (5) further positioning the filtered and denoised sample in the step S4, accurately positioning the area where the defect is located, and distinguishing surface dust and dark spots inside the LCD.
In this embodiment, when the image of the mobile phone screen is collected in step S1, one main-view camera and four oblique-view cameras are used, the main-view camera is located at a position perpendicular to the position right above the mobile phone screen and collects the image of the mobile phone screen, and the four oblique-view cameras are arranged at an angle of 45 degrees with respect to the horizontal plane and collect the image toward the mobile phone screen. After image acquisition is carried out right above a mobile phone screen and image acquisition is carried out on the mobile phone screen inclined by 45 degrees, a coordinate relation between an image shot by a main-view camera and an image shot by an oblique-view camera is established.
In this embodiment, the filtering and denoising method in step S4 includes: sorting pixels of the image, dividing an image area into a flat area, a noise point and an edge detail area on the basis of extremum filtering, and filtering by adopting median filtering if the pixels in a filtering window are in the flat area and the noise point; if the pixel is not in the filtering window, the pixel is judged to be an edge detail area, and then no processing is carried out.
The collected samples are filtered and denoised, and the images are inevitably interfered by noise in the collecting process, wherein most of the images are generated by the camera, the image collecting card and image information in the transmission process. The filtering adopts an improved switching median filtering algorithm, and the median filtering has good inhibiting effect on image noise but can blur edge details of a defective image.
The image noise has the characteristic of obvious gray change and is similar to the edge point, but the pixel point of the edge is also different from the noise, most of the noise points are the acquaintances of the neighborhood pixels and the periphery, and the extreme value of the edge pixel point is different from the extreme value. To address this problem, the present application employs improved adjusted median filtering. The method comprises the following steps: and (3) sorting the processed pixels, dividing the image area into a flat area, a noise point and an edge detail area 3 on the basis of extremum filtering, and if the pixels in a filtering window are in the flat area and the noise point, adopting common median filtering to carry out filtering. If not, the pixel point is judged to be the edge detail area, and then no processing is carried out.
In order to improve the image enhancement effect, the guiding filtering is improved, the improved median-filtered image is used as the guiding image, and the noise of the low-illumination image is removed by combining the high-efficiency edge keeping effect of the guiding filtering and the smoothing effect of the improved median filtering.
In this embodiment, in step S5, as shown in fig. 3, since the surface dust is located on the upper surface of the glass, when comparing the side view with the front view, the point of the surface dust is shifted farther from the dark point inside the LCD, i.e. L2 in fig. 3 is greater than L1.
The method is ingenious in design, micro dust (less than or equal to 0.2mm) in a liquid crystal screen defect detection system is distinguished from dark spot recognition of liquid crystal, a main-view camera and four oblique-view cameras are adopted to carry out high-precision imaging on a mobile phone screen, an image processing technology is combined to detect surface defects, median filtering and denoising are adopted, the image enhancement effect is improved, guiding filtering is improved, an improved image after the median filtering is used as a guiding image, the high-efficiency edge keeping effect of the guiding filtering and the improved smoothing effect of the median filtering are combined, noise of a low-illumination image is removed, a dark spot and the surface dust which are puzzled in image defect detection of the mobile phone screen are distinguished, and the working efficiency and the detection reliability are effectively improved.
Example 2
The embodiment 2 provides a system for distinguishing dark spots in a mobile phone screen module and surface dust in the mobile phone screen module, which comprises an optical imaging system, a digital image processing system and a control terminal which are sequentially in signal connection;
the optical imaging system is used for rapidly acquiring images of a screen of a mobile phone on a running simulation production line;
the digital image processing system converts the acquired image information into digital information and performs post-image processing;
the control terminal is used for preliminarily positioning the area where the defect is located; filtering and denoising the collected sample after the coarse detection processing; and further positioning the filtered and denoised sample, accurately positioning the area where the defect is located, and distinguishing surface dust and dark spots inside the LCD.
The optical imaging system comprises a main-view camera and four oblique-view cameras, wherein the main-view camera is located at a position vertical to the right above the mobile phone screen and is used for carrying out image acquisition on the mobile phone screen, and the four oblique-view cameras are arranged at an angle of 45 degrees relative to the horizontal plane and are used for carrying out image acquisition towards the mobile phone screen.
Although the present invention has been described with reference to the above preferred embodiments, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (7)
1. A method for distinguishing interior dark spots and surface dust during detection of a mobile phone screen module is characterized by comprising the following steps:
s1, rapidly acquiring images of the mobile phone screen on the running simulation production line;
s2, converting the collected image information into digital information and performing post image processing;
s3, coarse detection: preliminarily positioning the area where the defect is located;
s4, filtering and denoising the collected sample after the coarse detection processing;
s5, fine positioning: and (5) further positioning the filtered and denoised sample in the step S4, accurately positioning the area where the defect is located, and distinguishing surface dust and dark spots inside the LCD.
2. The method for distinguishing the interior dark spot from the surface dust during the detection of the mobile phone screen module according to claim 1, wherein the method comprises the following steps: when the image of the mobile phone screen is collected in the step S1, one main-view camera and four oblique-view cameras are used, the main-view camera is located at a position perpendicular to the position right above the mobile phone screen and is used for collecting the image of the mobile phone screen, and the four oblique-view cameras are arranged at an angle of 45 degrees relative to the horizontal plane and face the mobile phone screen for collecting the image.
3. The method for distinguishing the interior dark spot from the surface dust during the detection of the mobile phone screen module according to claim 2, wherein the method comprises the following steps: after image acquisition is carried out right above the mobile phone screen and image acquisition is carried out on the mobile phone screen inclined by 45 degrees, a coordinate relation between an image shot by the main-view camera and an image shot by the oblique-view camera is established.
4. The method for detecting the distinguishing of the inner dark spot and the surface dust of the mobile phone screen module according to claim 1, wherein the method comprises the following steps: the filtering and denoising method in the step S4 includes: sorting pixels of the image, dividing an image area into a flat area, a noise point and an edge detail area on the basis of extremum filtering, and filtering by adopting median filtering if the pixels in a filtering window are in the flat area and the noise point; if the pixel is not in the filtering window, the pixel is judged to be an edge detail area, and then no processing is carried out.
5. The method for distinguishing the interior dark spot from the surface dust during the detection of the mobile phone screen module according to claim 1, wherein the method comprises the following steps: in step S5, since the surface dust is on the upper surface of the glass, the dot shape of the surface dust is shifted farther from the dark spot inside the LCD when the side view is compared with the front view.
6. The utility model provides a cell-phone screen module detects inside dark spot and surface dust distinguishing system which characterized in that: the system comprises an optical imaging system, a digital image processing system and a control terminal which are connected in sequence through signals;
the optical imaging system is used for rapidly acquiring images of a screen of a mobile phone on a running simulation production line;
the digital image processing system converts the acquired image information into digital information and performs post-image processing;
the control terminal is used for preliminarily positioning the area where the defect is located; filtering and denoising the acquired sample after the coarse detection processing; and further positioning the filtered and denoised sample, accurately positioning the area where the defect is located, and distinguishing surface dust and dark spots inside the LCD.
7. The system of claim 6, wherein the system for detecting dark spots inside the mobile phone screen module and distinguishing dust on the surface of the mobile phone screen module comprises: the optical imaging system comprises a main-view camera and four oblique-view cameras, wherein the main-view camera is positioned at a position vertical to the right above the mobile phone screen and is used for carrying out image acquisition on the mobile phone screen, and the four oblique-view cameras are arranged at an angle of 45 degrees relative to the horizontal plane and are used for carrying out image acquisition towards the mobile phone screen.
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Cited By (1)
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Application publication date: 20220624 |