CN109636778A - The defect inspection method of display panel and the defect detecting device of display panel - Google Patents
The defect inspection method of display panel and the defect detecting device of display panel Download PDFInfo
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- CN109636778A CN109636778A CN201811395355.XA CN201811395355A CN109636778A CN 109636778 A CN109636778 A CN 109636778A CN 201811395355 A CN201811395355 A CN 201811395355A CN 109636778 A CN109636778 A CN 109636778A
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- 230000007547 defect Effects 0.000 title claims abstract description 53
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000007689 inspection Methods 0.000 title claims abstract description 22
- 238000006243 chemical reaction Methods 0.000 claims abstract description 58
- 230000002950 deficient Effects 0.000 claims abstract description 21
- 238000004519 manufacturing process Methods 0.000 abstract description 17
- 238000001514 detection method Methods 0.000 abstract description 10
- 239000002699 waste material Substances 0.000 abstract description 6
- 241001270131 Agaricus moelleri Species 0.000 abstract description 4
- 230000004048 modification Effects 0.000 description 4
- 238000012986 modification Methods 0.000 description 4
- 239000002956 ash Substances 0.000 description 3
- 239000011521 glass Substances 0.000 description 3
- 235000002918 Fraxinus excelsior Nutrition 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000035900 sweating Effects 0.000 description 2
- 230000008901 benefit Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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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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- Computer Vision & Pattern Recognition (AREA)
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- Testing Of Optical Devices Or Fibers (AREA)
- Devices For Indicating Variable Information By Combining Individual Elements (AREA)
- Image Processing (AREA)
Abstract
The present disclosure provides the defect inspection method of display panel and the defect detecting devices of display panel.The method includes obtaining the image of display panel, the described image of the display panel includes intermediate region and the neighboring area around intermediate region, grayscale processing is carried out to the described image of the display panel, and binary conversion treatment is carried out to grayscaleization treated described image, wherein the intermediate region and the neighboring area of described image after binary conversion treatment have a different binary image gray scales, and described image after judging binary conversion treatment is non-defective.This announcement can prevent erroneous detection from causing production production capacity waste, influence to produce.
Description
[technical field]
This announcement is related to field of display technology, the in particular to defect inspection method and display panel of a kind of display panel
Defect detecting device.
[background technique]
The defect detecting device of display panel at present, such as glass panel edge polisher, can be into the defect on display panel
The automatic detection of row, by carrying out imaging of taking pictures to defect, detects defect using grayscale threshold test principle, actual production
In detection, when there is droplet on display panel, glass panel edge polisher can not correctly detected it automatically, can be by droplet
Erroneous detection led to inspection at other defect, influenced to produce.
Therefore the defect detecting device of the defect inspection method in need that a kind of display panel is provided and display panel, with
It solves the problems, such as of the existing technology.
[summary of the invention]
In order to solve the above technical problems, the one of this announcement is designed to provide the defect inspection method of display panel and shows
Show the defect detecting device of panel, can prevent erroneous detection from causing production production capacity waste, influence to produce.
To reach above-mentioned purpose, this announcement provides the defect inspection method of a display panel.The described method includes:
The image of display panel is obtained, the described image of the display panel includes intermediate region and around intermediate region
Neighboring area；
Grayscale processing is carried out to the described image of the display panel；And
Binary conversion treatment is carried out to grayscaleization treated described image；
Wherein the intermediate region and the neighboring area of described image after binary conversion treatment have different two
Value image grayscale, described image after judging binary conversion treatment is non-defective.
In this announcement embodiment therein, the grayscale value range of grayscaleization treated described image 0 to 255 it
Between.
In this announcement embodiment therein, grayscaleization treated described image is carried out according to the threshold value of setting
Binary conversion treatment.
In this announcement embodiment therein, the grayscale value of the threshold value of the setting is greater than 0 and less than 255.
In this announcement embodiment therein, the grayscale value of the threshold value of the setting is less than or equal to 25.
In this announcement embodiment therein, the two-value of the intermediate region of described image after binary conversion treatment
The binary image gray scale for changing the neighboring area of the described image after image grayscale is 0 and binary conversion treatment is 1, judges two
Value treated described image is non-defective.
It is described non-defective for droplet in this announcement embodiment therein.
In this announcement embodiment therein, the binary picture of the whole region of described image after binary conversion treatment
Picture gray scale is 1, and the described image after judging binary conversion treatment is defect.
This announcement also provides the defect detecting device of a display panel.The defect detecting device of the display panel includes taking the photograph
As unit, correlation calculations unit, grayscale processing unit, binary conversion treatment unit and judging unit.The camera unit
For obtaining the image of display panel, the described image of the display panel includes intermediate region and the periphery around intermediate region
Region.The grayscale processing unit is used to carry out grayscale processing to the described image of the display panel.The binaryzation
Processing unit carries out binary conversion treatment to grayscaleization treated described image.Wherein described image after binary conversion treatment
The intermediate region and the neighboring area have different binary image gray scales, and the judging unit judges binary conversion treatment
Described image afterwards is non-defective.
In this announcement embodiment therein, the two-value of the intermediate region of described image after binary conversion treatment
The binary image gray scale for changing the neighboring area of the described image after image grayscale is 0 and binary conversion treatment is 1, described to sentence
Described image after disconnected unit judges binary conversion treatment is non-defective.
Due to the defect inspection method of the display panel of this revealed embodiment and the defect detecting device of display panel
In, the intermediate region and the neighboring area of described image after binary conversion treatment have different binary image ashes
Degree, the described image after judging binary conversion treatment can prevent erroneous detection from causing production production capacity waste, influence to produce to be non-defective.
For the above content of this announcement can be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate institute's accompanying drawings, makees
Detailed description are as follows:
[Detailed description of the invention]
Fig. 1 shows the process block diagram of the defect inspection method of the display panel of the embodiment according to this announcement；And
Fig. 2 shows the schematic block diagram of the defect detecting device of the display panel of the embodiment according to this announcement.
[specific embodiment]
In order to which the above-mentioned and other purposes of this announcement, feature, advantage can be clearer and more comprehensible, it is excellent that spy is hereafter lifted into this announcement
Embodiment is selected, and cooperates institute's accompanying drawings, is described in detail below.Furthermore the direction term that this announcement is previously mentioned, such as above and below,
Top, bottom, front, rear, left and right, inside and outside, side layer, around, center, it is horizontal, laterally, vertically, longitudinally, axial direction, radial direction, top layer or
Lowest level etc. is only the direction with reference to annexed drawings.Therefore, the direction term used be to illustrate and understand this announcement, and
It is non-to limit this announcement.
The similar unit of structure is to be given the same reference numerals in the figure.
Referring to Fig.1, the defect inspection method 100 of the display panel of an embodiment of this announcement includes square 110, is obtained aobvious
Show the image of panel, the described image of the display panel includes intermediate region and the neighboring area around intermediate region, square
120, grayscale processing and square 130 are carried out to the described image of the display panel, to grayscaleization treated the figure
As carrying out binary conversion treatment, wherein the intermediate region and the neighboring area of described image after binary conversion treatment have
Different binary image gray scales, described image after judging binary conversion treatment is non-defective.
Specifically, the area of the intermediate region of described image is less than the area of the neighboring area.Described image
The areal extent of the intermediate region is for example between 1/7 to the 1/6 of the area of the neighboring area.
Specifically, the grayscale value range of grayscaleization treated described image is between 0 to 255.Grayscale value is
Most black, it is, for example, most white that grayscale value, which is 255,.The defect inspection method 100 of display panel includes the threshold value according to setting to ash
Rankization treated described image carries out binary conversion treatment.
Specifically, the grayscale value of the threshold value of the setting is greater than 0 and less than 255.For example, the threshold value of the setting
The grayscale value is less than or equal to 25.
Specifically, by the institute of the grayscale value of some pixel in the specific region of described image and the threshold value of the setting
It states grayscale value to be compared, when the grayscale value of some pixel in the specific region of described image is not less than the door of the setting
When the grayscale value of value, 1 is set by the grayscale value of some pixel in specific region, when certain in the specific region
When the grayscale value of a pixel is less than the grayscale value of the threshold value of the setting, 0 is set by the grayscale value of some pixel.
Specifically, the binary image gray scale of the intermediate region of described image after binary conversion treatment is 0 and two
The binary image gray scale of the neighboring area of value treated described image is 1, described after judging binary conversion treatment
Image is non-defective.The non-defective for example, droplet.In other words, the periphery of droplet is black, and the intermediate region of droplet is
Light tone.
The present embodiment is able to detect sweating, and the defect inspection method 100 of display panel further includes filtering out droplet, can
To prevent erroneous detection from causing production production capacity waste, influence to produce.Therefore, the present embodiment can correctly detect panel defect and/or
It is non-defective, increase production production capacity.
Specifically, the binary image gray scale of the whole region of described image after binary conversion treatment is 1, judges two-value
Changing treated described image is defect.In other words, the defect on display panel is defect area generally black, grayscale value
It is lower.
Referring to Fig. 2, this revealed embodiment also provides the defect detecting device 200 of display panel.The defect of display panel
Detection device 200 is, for example, glass panel edge polisher, but this announcement is not limited.The defect detecting device 200 of display panel
Including camera unit 210, grayscale processing unit 220, binary conversion treatment unit 230 and judging unit 240.Camera unit
210 for obtaining the image of display panel, and the described image of the display panel includes intermediate region and around intermediate region
Neighboring area.The grayscale processing unit 220 is used to carry out grayscale processing to the described image of the display panel.It is described
Binary conversion treatment unit 230 carries out binary conversion treatment to grayscaleization treated described image.Wherein after binary conversion treatment
The intermediate region and the neighboring area of described image have different binary image gray scales, the judging unit 240
Described image after judging binary conversion treatment is non-defective.
Specifically, the area of the intermediate region of described image is less than the area of the neighboring area.Described image
The areal extent of the intermediate region is for example between 1/7 to the 1/6 of the area of the neighboring area.
Specifically, the grayscale value range of grayscaleization treated described image is between 0 to 255.Grayscale value is
Most black, it is, for example, most white that grayscale value, which is 255,.The binary conversion treatment unit 230 is according to the threshold value of setting to grayscaleization processing
Described image afterwards carries out binary conversion treatment.Specifically, the grayscale value of the threshold value of the setting is greater than 0 and less than 255.Example
Such as, the grayscale value of the threshold value of the setting is less than or equal to 25.
Specifically, grayscale value of the binary conversion treatment unit 230 to some pixel in the specific region of described image
It is compared with the grayscale value of the threshold value of the setting, when the grayscale of some pixel in the specific region of described image
Value not less than the setting threshold value the grayscale value when, the binary conversion treatment unit 230 by specific region should
The grayscale value of some pixel is set as 1, when the grayscale value of some pixel in the specific region is less than the door of the setting
When the grayscale value of value, the binary conversion treatment unit 230 sets 0 for the grayscale value of some pixel.
Specifically, the binary image gray scale of the intermediate region of described image after binary conversion treatment is 0 and two
The binary image gray scale of the neighboring area of value treated described image is 1, and the judging unit 240 judges two-value
It is non-defective for changing treated described image.The non-defective for example, droplet.In other words, the periphery of droplet is black, water
The intermediate region of pearl is light tone.
The present embodiment is able to detect sweating, and the defect detecting device 200 of display panel further includes that filter element 250 is used for
Droplet is filtered out, can prevent erroneous detection from causing production production capacity waste, influence to produce.Therefore, the present embodiment can be detected correctly
The defect of panel and/or non-defective, increase production production capacity.
Specifically, the binary image gray scale of the whole region of described image after binary conversion treatment is 1, the judgement
Unit 240 judges the described image after binary conversion treatment for defect.In other words, the defect on display panel is that defect area is whole
Body is black, and grayscale value is lower.
Due to the defect inspection method of the display panel of this revealed embodiment and the defect detecting device of display panel
In, the intermediate region and the neighboring area of described image after binary conversion treatment have different binary image ashes
Degree, the described image after judging binary conversion treatment can prevent erroneous detection from causing production production capacity waste, influence to produce to be non-defective.
Although this announcement, those skilled in the art have shown and described relative to one or more implementations
It will be appreciated that equivalent variations and modification based on the reading and understanding to the specification and drawings.This announcement includes all such repairs
Change and modification, and is limited only by the scope of the following claims.In particular, to various functions executed by the above components, use
It is intended to correspond in the term for describing such component and executes the specified function of the component (such as it is functionally of equal value
) random component (unless otherwise instructed), even if in structure with execute the exemplary of this specification shown in this article and realize
The open structure of function in mode is not equivalent.In addition, although the special characteristic of this specification is relative to several realization sides
Only one in formula is disclosed, but this feature can with such as can be for a given or particular application expectation and it is advantageous
One or more other features combinations of other implementations.Moreover, with regard to term " includes ", " having ", " containing " or its deformation
For being used in specific embodiments or claims, such term is intended to wrap in a manner similar to the term " comprising "
It includes.
The above is only the preferred embodiments of this announcement, it is noted that for those of ordinary skill in the art, is not departing from
Under the premise of this announcement principle, several improvements and modifications can also be made, these improvements and modifications also should be regarded as the guarantor of this announcement
Protect range.
Claims (10)
1. a kind of defect inspection method of display panel characterized by comprising
The image of display panel is obtained, the described image of the display panel includes intermediate region and the periphery around intermediate region
Region；
Grayscale processing is carried out to the described image of the display panel；And
Binary conversion treatment is carried out to grayscaleization treated described image；
Wherein the intermediate region and the neighboring area of described image after binary conversion treatment have different binaryzations
Image grayscale, described image after judging binary conversion treatment is non-defective.
2. the defect inspection method of display panel as described in claim 1, which is characterized in that grayscaleization treated the figure
The grayscale value range of picture is between 0 to 255.
3. the defect inspection method of display panel as described in claim 1, which is characterized in that according to the threshold value of setting to ash
Rankization treated described image carries out binary conversion treatment.
4. the defect inspection method of display panel as claimed in claim 3, which is characterized in that the ash of the threshold value of the setting
Rank value is greater than 0 and less than 255.
5. the defect inspection method of display panel as claimed in claim 4, which is characterized in that the institute of the threshold value of the setting
Grayscale value is stated less than or equal to 25.
6. the defect inspection method of display panel as described in claim 1, which is characterized in that described in after binary conversion treatment
The binary image gray scale of the intermediate region of image is the neighboring area of the described image after 0 and binary conversion treatment
Binary image gray scale is 1, and described image after judging binary conversion treatment is non-defective.
7. the defect inspection method of display panel as claimed in claim 6, which is characterized in that described non-defective for droplet.
8. the defect inspection method of display panel as described in claim 1, which is characterized in that described in after binary conversion treatment
The binary image gray scale of the whole region of image is 1, and the described image after judging binary conversion treatment is defect.
9. a kind of defect detecting device of display panel characterized by comprising
Camera unit, for obtaining the image of display panel, the described image of the display panel includes intermediate region and surrounds
The neighboring area of intermediate region；
Grayscale processing unit carries out grayscale processing for the described image to the display panel；
Binary conversion treatment unit carries out binary conversion treatment to grayscaleization treated described image；And
Judging unit, wherein the intermediate region and the neighboring area of described image after binary conversion treatment have difference
Binary image gray scale, the judging unit judges the described image after binary conversion treatment to be non-defective.
10. the defect detecting device of display panel as described in claim 1, which is characterized in that institute after binary conversion treatment
The binary image gray scale for stating the intermediate region of image is the neighboring area of the described image after 0 and binary conversion treatment
Binary image gray scale be 1, the judging unit judges the described image after binary conversion treatment to be non-defective.
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| CN201811395355.XA CN109636778B (en) | 2018-11-22 | 2018-11-22 | Defect detection method and defect detection device for display panel |
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| CN201811395355.XA CN109636778B (en) | 2018-11-22 | 2018-11-22 | Defect detection method and defect detection device for display panel |
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| CN109636778A true CN109636778A (en) | 2019-04-16 |
| CN109636778B CN109636778B (en) | 2021-03-23 |
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Cited By (1)
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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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