CN109636778B - Defect detection method and defect detection device for display panel - Google Patents
Defect detection method and defect detection device for display panel Download PDFInfo
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- CN109636778B CN109636778B CN201811395355.XA CN201811395355A CN109636778B CN 109636778 B CN109636778 B CN 109636778B CN 201811395355 A CN201811395355 A CN 201811395355A CN 109636778 B CN109636778 B CN 109636778B
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- 230000007547 defect Effects 0.000 title claims abstract description 52
- 238000001514 detection method Methods 0.000 title claims abstract description 24
- 230000002093 peripheral effect Effects 0.000 claims abstract description 29
- 238000000034 method Methods 0.000 claims abstract description 18
- 230000002950 deficient Effects 0.000 claims abstract description 16
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 13
- 230000008569 process Effects 0.000 claims description 7
- 238000001914 filtration Methods 0.000 claims description 4
- 238000004519 manufacturing process Methods 0.000 abstract description 17
- 239000002699 waste material Substances 0.000 abstract description 4
- 239000011324 bead Substances 0.000 description 4
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 239000011521 glass Substances 0.000 description 3
- 230000004075 alteration Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000007688 edging Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
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- 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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Abstract
The present disclosure provides a defect detection method of a display panel and a defect detection apparatus of a display panel. The method comprises the steps of obtaining an image of a display panel, wherein the image of the display panel comprises a middle area and a peripheral area surrounding the middle area, conducting graying processing on the image of the display panel, and conducting binarization processing on the image after the graying processing, wherein when the middle area and the peripheral area of the image after the binarization processing have different grays of binarized images, the image after the binarization processing is judged to be non-defective. The method can prevent the production capacity waste caused by false detection and influence on production.
Description
[ technical field ] A method for producing a semiconductor device
The present disclosure relates to the field of display technologies, and in particular, to a defect detection method for a display panel and a defect detection apparatus for a display panel.
[ background of the invention ]
Present display panel's defect detecting device, for example glass panels edging machine, can carry out automated inspection to the defect on the display panel, through the formation of image of shooing the defect, use the grey scale threshold value to detect the principle and detect the defect, during the actual production detects, when having the drop of water on display panel, glass panels edging machine can not be accurate comes out its automated inspection, can become other defects with the drop of water false retrieval, leads to the cross examination, influences production.
Therefore, it is desirable to provide a method and an apparatus for detecting defects of a display panel, so as to solve the problems in the prior art.
[ summary of the invention ]
In order to solve the above-mentioned problems, an object of the present disclosure is to provide a method and an apparatus for detecting defects of a display panel, which can prevent the production capacity from being wasted and the production from being affected due to the false detection.
To achieve the above objective, the present disclosure provides a method for detecting defects of a display panel. The method comprises the following steps:
acquiring an image of a display panel, wherein the image of the display panel comprises a middle area and a peripheral area surrounding the middle area;
performing graying processing on the image of the display panel; and
carrying out binarization processing on the image subjected to the graying processing;
and when the middle area and the peripheral area of the image after the binarization processing have different binarization image gray levels, judging that the image after the binarization processing is non-defective.
In one embodiment of the present disclosure, the gray scale value of the image after the graying process is in a range from 0 to 255.
In an embodiment of the present disclosure, the image after the graying process is binarized according to a set threshold value.
In one embodiment of the present disclosure, the gray level of the set threshold is greater than 0 and less than 255.
In one embodiment of the present disclosure, the gray level of the set threshold is less than or equal to 25.
In an embodiment of the present disclosure, when the grayscale of the binarized image in the middle region of the binarized image is 1 and the grayscale of the binarized image in the peripheral region of the binarized image is 0, the binarized image is determined to be non-defective.
In one embodiment of the present disclosure, the non-defect is a water droplet.
In an embodiment of the present disclosure, when the grayscale of the binarized image in all regions of the binarized image is 0, the binarized image is determined to be defective.
The present disclosure also provides a defect detecting apparatus of a display panel. The defect detection device of the display panel comprises a camera shooting unit, a correlation calculation unit, a graying processing unit, a binarization processing unit and a judgment unit. The camera unit is used for acquiring an image of a display panel, and the image of the display panel comprises a middle area and a peripheral area surrounding the middle area. The graying processing unit is used for performing graying processing on the image of the display panel. And the binarization processing unit is used for carrying out binarization processing on the image subjected to the graying processing. When the middle area and the peripheral area of the image after the binarization processing have different binarization image gray levels, the judging unit judges that the image after the binarization processing is non-defective.
In an embodiment of the present disclosure, when the grayscale of the binarized image in the middle region of the binarized image is 1 and the grayscale of the binarized image in the peripheral region of the binarized image is 0, the determining unit determines that the binarized image is non-defective.
In the defect detection method of the display panel and the defect detection device of the display panel according to the embodiment of the disclosure, when the middle area and the peripheral area of the image after the binarization processing have different levels of the binarized image, the image after the binarization processing is judged to be non-defective, so that the production capacity waste caused by false detection can be prevented, and the production is prevented from being influenced.
In order to make the aforementioned and other aspects of the present disclosure more comprehensible, preferred embodiments accompanied with figures are described in detail below:
[ description of the drawings ]
FIG. 1 is a block diagram of a defect detection method for a display panel according to an embodiment of the present disclosure; and
FIG. 2 is a block diagram of a defect detection apparatus for a display panel according to an embodiment of the present disclosure.
[ detailed description ] embodiments
In order to make the aforementioned and other objects, features and advantages of the present disclosure comprehensible, preferred embodiments accompanied with figures are described in detail below. Furthermore, directional phrases used in this disclosure, such as, for example, upper, lower, top, bottom, front, rear, left, right, inner, outer, lateral, peripheral, central, horizontal, lateral, vertical, longitudinal, axial, radial, uppermost or lowermost, etc., refer only to the orientation of the attached drawings. Accordingly, the directional terms used are used for the purpose of illustration and understanding of the present disclosure, and are not used to limit the present disclosure.
In the drawings, elements having similar structures are denoted by the same reference numerals.
Referring to fig. 1, a defect detection method 100 for a display panel according to an embodiment of the present disclosure includes a block 110 for obtaining an image of a display panel, the image of the display panel including a middle region and a peripheral region surrounding the middle region, a block 120 for performing a graying process on the image of the display panel, and a block 130 for performing a binarization process on the grayed image, wherein when the middle region and the peripheral region of the binarized image have different grays of the binarized image, the binarized image is determined to be non-defect.
In particular, the area of the intermediate region of the image is smaller than the area of the peripheral region. The area of the middle region of the image ranges, for example, between 1/7 and 1/6 of the area of the peripheral region.
Specifically, the gray scale value of the image after the graying process ranges from 0 to 255. The gray scale value is 0, for example, the darkest, and the gray scale value is 255, for example, the whitest. The method 100 for detecting the defect of the display panel comprises the step of carrying out binarization processing on the image after the graying processing according to a set threshold value.
Specifically, the set threshold value has a gray level greater than 0 and less than 255. For example, the gray level value of the set threshold value is less than or equal to 25.
Specifically, the gray scale value of a certain pixel in the specific area of the image is compared with the gray scale value of the set threshold value, when the gray scale value of the certain pixel in the specific area of the image is not less than the gray scale value of the set threshold value, the gray scale value of the certain pixel in the specific area is set to 1, and when the gray scale value of the certain pixel in the specific area is less than the gray scale value of the set threshold value, the gray scale value of the certain pixel is set to 0.
Specifically, when the grayscale of the binarized image in the middle region of the binarized image is 1 and the grayscale of the binarized image in the peripheral region of the binarized image is 0, it is determined that the binarized image is non-defective. The non-defect is, for example, a water droplet. In other words, the periphery of the bead is black and the middle area of the bead is light.
The embodiment can detect water drops, and the defect detection method 100 for the display panel further includes filtering the water drops, so that production capacity waste caused by false detection can be prevented, and production is not affected. Therefore, the present embodiment can correctly detect the defects and/or non-defects of the panel, and increase the production yield.
Specifically, when the grayscale of the binarized image in the entire area of the binarized image is 0, the binarized image is determined to be defective. In other words, the defect on the display panel is that the whole defect area is black, and the gray scale value is low.
Referring to fig. 2, the embodiment of the disclosure further provides a defect detecting apparatus 200 for a display panel. The defect detecting device 200 of the display panel is, for example, a glass panel edge grinding machine, but the disclosure is not limited thereto. The defect detection apparatus 200 of the display panel includes an image pickup unit 210, a graying processing unit 220, a binarization processing unit 230, and a determination unit 240. The image capturing unit 210 is configured to acquire an image of a display panel, where the image of the display panel includes a middle area and a peripheral area surrounding the middle area. The graying processing unit 220 is configured to perform graying processing on the image of the display panel. The binarization processing unit 230 performs binarization processing on the image after the graying processing. When the middle region and the peripheral region of the binarized image have different binarized image gray levels, the determining unit 240 determines that the binarized image is non-defective.
In particular, the area of the intermediate region of the image is smaller than the area of the peripheral region. The area of the middle region of the image ranges, for example, between 1/7 and 1/6 of the area of the peripheral region.
Specifically, the gray scale value of the image after the graying process ranges from 0 to 255. The gray scale value is 0, for example, the darkest, and the gray scale value is 255, for example, the whitest. The binarization processing unit 230 performs binarization processing on the image after the graying processing according to a set threshold value. Specifically, the set threshold value has a gray level greater than 0 and less than 255. For example, the gray level value of the set threshold value is less than or equal to 25.
Specifically, the binarization processing unit 230 compares a gray-scale value of a certain pixel in a specific area of the image with the gray-scale value of the set threshold value, and when the gray-scale value of the certain pixel in the specific area of the image is not less than the gray-scale value of the set threshold value, the binarization processing unit 230 sets the gray-scale value of the certain pixel in the specific area to 1, and when the gray-scale value of the certain pixel in the specific area is less than the gray-scale value of the set threshold value, the binarization processing unit 230 sets the gray-scale value of the certain pixel to 0.
Specifically, when the grayscale of the binarized image in the middle region of the binarized image is 1 and the grayscale of the binarized image in the peripheral region of the binarized image is 0, the determining unit 240 determines that the binarized image is non-defective. The non-defect is, for example, a water droplet. In other words, the periphery of the bead is black and the middle area of the bead is light.
This embodiment can detect out the drop of water, and display panel's defect detecting device 200 still includes filter unit 250 and is used for filtering the drop of water, can prevent that the false retrieval from causing the production productivity extravagant, influence production. Therefore, the present embodiment can correctly detect the defects and/or non-defects of the panel, and increase the production yield.
Specifically, when the grayscale of the binarized image of the entire area of the binarized image is 0, the determining unit 240 determines that the binarized image is defective. In other words, the defect on the display panel is that the whole defect area is black, and the gray scale value is low.
In the defect detection method of the display panel and the defect detection device of the display panel according to the embodiment of the disclosure, when the middle area and the peripheral area of the image after the binarization processing have different levels of the binarized image, the image after the binarization processing is judged to be non-defective, so that the production capacity waste caused by false detection can be prevented, and the production is prevented from being influenced.
Although the disclosure has been shown and described with respect to one or more implementations, equivalent alterations and modifications will occur to others skilled in the art based upon a reading and understanding of this specification and the annexed drawings. The present disclosure includes all such modifications and alterations, and is limited only by the scope of the appended claims. In particular regard to the various functions performed by the above described components, the terms used to describe such components are intended to correspond, unless otherwise indicated, to any component which performs the specified function of the described component (e.g., that is functionally equivalent), even though not structurally equivalent to the disclosed structure which performs the function in the herein illustrated exemplary implementations of the specification. In addition, while a particular feature of the specification may have been disclosed with respect to only one of several implementations, such feature may be combined with one or more other features of the other implementations as may be desired and advantageous for a given or particular application. Furthermore, to the extent that the terms "includes," has, "" contains, "or variants thereof are used in either the detailed description or the claims, such terms are intended to be inclusive in a manner similar to the term" comprising.
The foregoing is merely a preferred embodiment of the present disclosure, and it should be noted that modifications and refinements may be made by those skilled in the art without departing from the principle of the present disclosure, and these modifications and refinements should also be construed as the protection scope of the present disclosure.
Claims (6)
1. A method for detecting defects of a display panel is characterized by comprising the following steps:
acquiring an image of a display panel, wherein the image of the display panel comprises a middle area and a peripheral area surrounding the middle area;
performing graying processing on the image of the display panel;
carrying out binarization processing on the image subjected to the graying processing;
when the middle area and the peripheral area of the image after the binarization processing have different binarization image gray levels, judging that the image after the binarization processing is non-defect, wherein the non-defect is water drop;
wherein the image after the graying processing is subjected to binarization processing according to a set threshold value, the grayscale value of the set threshold value is equal to 25, and the area range of the middle region of the image is between 1/7 and 1/6 of the area of the peripheral region; and
the water droplets are filtered out using a filter unit.
2. The method as claimed in claim 1, wherein the gray scale value of the image after the graying process is in the range of 0 to 255.
3. The method for detecting defects of a display panel according to claim 1, wherein the binarized image is determined to be non-defective when the binarized image gray scale of the middle region of the binarized image is 1 and the binarized image gray scale of the peripheral region of the binarized image is 0.
4. The method for detecting defects of a display panel according to claim 1, wherein the binarized image is determined to be defective when the grayscale of the binarized image is 0 in all regions of the binarized image.
5. A defect detecting apparatus for a display panel, comprising:
the device comprises a camera unit, a display unit and a processing unit, wherein the camera unit is used for acquiring an image of a display panel, and the image of the display panel comprises a middle area and a peripheral area surrounding the middle area;
the graying processing unit is used for performing graying processing on the image of the display panel;
a binarization processing unit for performing binarization processing on the image after the graying processing;
a determination unit, wherein when the middle region and the peripheral region of the binarized image have different binarized image gray levels, the determination unit determines that the binarized image is a non-defect, the non-defect is water drop, the binarizing unit performs binarizing on the binarized image according to a set threshold value, the gray level value of the set threshold value is equal to 25, and the area range of the middle region of the image is between 1/7 and 1/6 of the area of the peripheral region; and
and the filtering unit is used for filtering the water drops.
6. The defect detection device of claim 5, wherein said judgment unit judges that said image after binarization is non-defective when a binarized image gray scale of said intermediate region of said image after binarization is 1 and a binarized image gray scale of said peripheral region of said image after binarization is 0.
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| CN112394069A (en) * | 2020-12-04 | 2021-02-23 | 深圳市华星光电半导体显示技术有限公司 | Display panel abnormality detection method and device |
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