CN101487934A - Optical detection apparatus and method - Google Patents
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- CN101487934A CN101487934A CNA2009100062789A CN200910006278A CN101487934A CN 101487934 A CN101487934 A CN 101487934A CN A2009100062789 A CNA2009100062789 A CN A2009100062789A CN 200910006278 A CN200910006278 A CN 200910006278A CN 101487934 A CN101487934 A CN 101487934A
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Abstract
The invention provides an optical detecting device. The optical detecting device comprises an image acquisition module and an image processing module. The image acquisition module is used for acquiring a plurality of images displayed on a display panel at different time. The image processing module generates a superimposed image according to the acquired images and further generates defect distribution information corresponding to the display panel according to the superimposed image.
Description
Technical field
The present invention and optical detection apparatus and optical monitoring method especially, relate to a kind of optical detection apparatus and optical detecting method in order to the defect distribution situation that detects display panel.
Background technology
In recent years, constantly develop, occurred the various display device that are different from the new kenel of traditional monitor on the market, for example LCD, plasma display etc. along with image shows relevant technology.Wherein, it is the highest to use the popularity rate of product of lcd technology with LCD or LCD TV etc. again.
Before the LCD shipment that factory produced, all need to be undertaken the testing of product by the testing staff.Generally speaking, present most manufacturer all is modified to automated optical by traditional manual detection mode and detects that (Automatic Optical Inspection, mode AOI) is carried out the detection of display panels.For all defect on the display panels all will being detected, usually need be by allowing display panels show the mode of a plurality of different pictures in regular turn, so that the defective on the display panels can display.
Because currently used automated optical detection mode acquisition display panels shows the image of different pictures, and detect defective on the display panels by the mode of respectively each image that captures being carried out image processing.Yet, in order to make testing result reach degree very accurately, take place with the situation of avoiding some defective not to be detected, certainly will carry out image processing program quite repeatedly.Because it is quite a lot of to carry out the image number of image processing, also cause the automated optical detection mode to detect the spent time of each display panels and elongate, can cause negative influence for integral production efficient and production capacity naturally.
Therefore, fundamental purpose of the present invention is to provide a kind of optical detection apparatus and optical detecting method, to address the above problem.
Summary of the invention
First specific embodiment according to the present invention is a kind of optical detection apparatus.In fact, this optical detection apparatus is applied to the detection of the defect distribution of display panel.In this embodiment, this optical detection apparatus comprises image acquisition module and image processing module.Image acquisition module is in order to capture display panel at shown a plurality of images of different time.Image processing module is coupled to image acquisition module, and in order to produce superimposed image according to a plurality of images and to produce defect distribution information corresponding to display panel according to superimposed image.
Second specific embodiment according to the present invention is a kind of optical detecting method.In this embodiment, this optical detecting method is applied to the detection of the defect distribution of display panel.This optical detecting method comprises the following step: (a) capture this display panel in shown a plurality of images of different time; (b) these a plurality of images of stack are to produce a superimposed image; (c) produce a defect distribution information and judge defect distribution according to this superimposed image corresponding to this display panel according to this defect distribution information.
In sum, according to optical detection apparatus of the present invention and optical detecting method owing to use the mode of image stack to carry out image processing, can avoid optical detection panel defect time-division safety pin each image to be carried out separately the situation of defective comparison, therefore, can significantly reduce the required whole identification time of optical detection panel defect according to optical detection apparatus of the present invention and optical detecting method, also can reduce the space that stores all pick-up images.
Can be further understood by following detailed Description Of The Invention and appended accompanying drawing about the advantages and spirit of the present invention.
Description of drawings
The synoptic diagram that Fig. 1 illustrate is detected at display panel for the optical detection apparatus according to first specific embodiment of the present invention;
Fig. 2 illustrate is the functional block diagram according to the optical detection apparatus of first specific embodiment of the present invention;
Fig. 3 A illustrate is pixel that display panel comprised;
Fig. 3 B illustrate produces an example of defect distribution information into image processing module;
Fig. 4 A and Fig. 4 B illustrate produce another example of defect distribution information into image processing module;
Fig. 5 illustrate is the process flow diagram according to the optical detecting method of second specific embodiment of the present invention;
Fig. 6 illustrate produces the detail flowchart of defect distribution information according to the stack GTG value of each pixel into this optical detecting method.
Wherein, Reference numeral
S10～S22: process step
1: optical detection apparatus 2: display panel
10: image acquisition module 12: image processing module
14: 21: the first pixels of storage module
23: the three pixels of 22: the second pixels
25: the five pixels of 24: the four pixels
26: the six pixels
Embodiment
First specific embodiment according to the present invention is a kind of optical detection apparatus.In this embodiment, this optical detection apparatus can have good and reliable quality in order to detect the defect distribution situation of display panel with the display panel of guaranteeing factory's shipment, does not have defective generations such as bright spot.This display panel can be display panels or other display device, but not as limit.Please refer to Fig. 1 and Fig. 2, Fig. 1 illustrate is carried out the synoptic diagram of defects detection at display panel for this optical detection apparatus; Fig. 2 illustrate is the functional block diagram of this optical detection apparatus.
As shown in Figure 2, optical detection apparatus 1 comprises image acquisition module 10, image processing module 12 and storage module 14.Image processing module 12 is coupled to image acquisition module 10 and storage module 14 is coupled to image acquisition module 10 and image processing module 12.Next, each module that is comprised with regard to optical detection apparatus 1 respectively and the function that has thereof are described in detail.
As shown in Figure 1, the image acquisition module 10 of optical detection apparatus 1 is in order to capture display panel 2 in shown a plurality of images of different time.Generally speaking, owing to when carrying out optical detection, must make display panel 2 show a plurality of different pictures (that is Show Styles), with the position of judging whereby whether display panel 2 has defective and defective for display panel 2.Therefore, when display panel 2 showed different pictures, the image when image acquisition module 10 promptly need capture display panel 2 these pictures of demonstration was in order to the carrying out of steps such as follow-up image processing and defect analysis.
In fact, image acquisition module 10 can be any device with image acquisition function, for example video camera or camera.In addition, these different pictures (Show Styles) can be chosen to produce or set according to its custom or hobby by the user in a picture (Show Styles) database and get by random fashion, there is no certain restriction.
For example, when optical detection apparatus 1 carries out optical detection at display panel 2, if display panel 2 is respectively at the very first time, second time, the 3rd time, the 4th time and the 5th time show first picture in regular turn, second picture, three-picture, five different pictures such as the 4th picture and the 5th picture, then the image acquisition module 10 of optical detection apparatus 1 can capture display panel 2 shows first picture in very first time T1 first image respectively, display panel 2 shows second image of second picture in second time T 2, display panel 2 shows the 3rd image of three-picture in the 3rd time T 3, display panel 2 shows the 4th image of the 4th picture and display panel 2 shows the 5th picture in the 5th time T 5 the 5th image in the 4th time T 4.
In actual applications, because display panel 2 includes a plurality of pixels (pixel), so when display panel 2 showed any picture, each pixel of display panel 2 all can correspond respectively to a GTG value (gray-level value).In this embodiment, suppose that display panel 2 comprises six pixels of arranging with the one-dimensional array form, is respectively first pixel 21, second pixel 22, the 3rd pixel 23, the 4th pixel 24, the 5th pixel 25 and the 6th pixel 26, as shown in Figure 3A from left to right.In fact, the arrangement mode of the pixel of display panel 2 can have various possibility, does not therefore have certain restriction.
Behind five images such as image acquisition module 10 acquisition first image to the five images, image processing module 12 will produce a superimposed image according to these five images.Then, image processing module 12 will be further according to the defect distribution information of this superimposed image generation corresponding to display panel 2.In fact, whether to have defective relevant for this defect distribution information and each pixel of display panel 2.
It should be noted that, because the image processing module 12 of optical detection apparatus 1 of the present invention adopts the mode of image stack to carry out image processing, therefore in the time of can avoiding traditional optical to detect the defective of display panel, carry out the mode consuming time of defective comparison respectively separately at each image, with the required whole identification time of the defective that significantly reduces the optical detection display panel, also can reduce the space that stores all pick-up images.Especially strict when the accuracy requirement of optical detection, that is the image number that need carry out image processing is more for a long time, the present invention has save time and the advantage in space promptly more obvious.
Next, to describe the operation situation that optical detection apparatus 1 carries out the defects detection of display panel 2 in detail by two different examples, and how produce superimposed image and to carry out follow-up image processing program according to picked image with the clearer image processing module 12 that presents.
At first, in first example, suppose display panel 2, be respectively first pixel 21, second pixel 22, the 3rd pixel 23, the 4th pixel 24, the 5th pixel 25 and the 6th pixel 26 from left to right as Fig. 3 A.Please refer to Fig. 3 B, suppose that first pixel, 21 to the 6th pixels, the 26 pairing GTG values of display panel 2 are promptly shown in Fig. 3 B when display panel 2 shows first image to the, five images.
By Fig. 3 B as can be known, in first image that image acquisition module 10 is captured, first pixel 21, second pixel 22, the 3rd pixel 23, the 4th pixel 24, the 5th pixel 25 and the 6th pixel 26 pairing GTG values of display panel 2 are 2.Similarly, in the 3rd image, first pixel, 21 to the 6th pixels, the 26 pairing GTG values of display panel 2 are 7.In addition, in the 4th image, first pixel, 21 to the 6th pixels, the 26 pairing GTG values of display panel 2 are 4; In the 5th image, first pixel, 21 to the 6th pixels, the 26 pairing GTG values of display panel 2 are 5.
Uniquely different be, in second image, first pixel 21, second pixel 22, the 4th pixel 24, the 5th pixel 25 and the 6th pixel 26 pairing GTG values of display panel 2 are 3, but the 3rd pixel 23 pairing GTG values are 6.
In this example, image processing module 12 earlier in the mode that adds up respectively with each pixel pairing GTG value addition in different images of display panel 2, to obtain corresponding respectively to the stack GTG value of each pixel.Generally speaking, to have the GTG fiducial value of most pixels be identical numerical value to their stack GTG value between each pixel, and then the stack GTG value of this majority can be considered normally, and the pixel stack GTG value that is different from most stack GTG values then is considered as unusually.Shown in Fig. 3 B, the stack GTG value of first pixel 21, second pixel 22, the 4th pixel 24, the 5th pixel 25 and the 6th pixel 26 is 21; The stack GTG value of the 3rd pixel 23 then is 24, is 21 compared to the stack GTG value of other pixel, and the stack GTG value of then visual the 3rd pixel 23 is unusual.
Then, image processing module 12 will be by adding up to produce the GTG fiducial value corresponding to each pixel after the stack GTG value that respectively the stack GTG value of each pixel is deducted its neighbor again.Shown in Fig. 3 B, just be zero because the stack GTG value 21 of first pixel 21 deducts the stack GTG value 21 of its unique adjacent second pixel 22, represent GTG fiducial value to be zero corresponding to first pixel 21.
For second pixel 22, because second pixel 22 has two adjacent pixels, be respectively first pixel 21 and the 3rd pixel 23, and the stack GTG value 21 of second pixel 22 to deduct the stack GTG value 21 of first pixel 21 just be zero, and the stack GTG value 24 that the stack GTG value 21 of second pixel 22 deducts the 3rd pixel 23 is-3, and therefore the GTG fiducial value corresponding to second pixel 22 is-3.In like manner, the GTG fiducial value corresponding to the 3rd pixel 23 is 6; GTG fiducial value corresponding to the 4th pixel 24 is-3; GTG fiducial value corresponding to the 5th pixel 25 and the 6th pixel 26 is zero.
Whereby, whether image processing module 12 can unusual according to the GTG fiducial value of first pixel, 21 to the 6th pixels 26, judges whether each pixel has defective, and produces defect distribution information according to above-mentioned judged result, for testing staff's reference.Generally speaking, to have the GTG fiducial value of most pixels be identical numerical value to their GTG fiducial value between each pixel, and then this most GTG fiducial value can be considered normally, and the pixel gray level fiducial value that is different from most GTG fiducial values then is considered as unusually.In this example, image processing module 12 can be according to the GTG fiducial value of comparatively unusual second pixel 22, the 3rd pixel 23 and the 4th pixel 24, judge the 3rd pixel 23 and probably have defective, the testing staff can carry out further scrutiny program at the 3rd pixel 23.
The foregoing description describes that the same defective of display panel 2 is not bright in different display frame, the situation of dark difference; that is the tool defective pixels do not have too high unusual GTG value and showing that another image had low unusual GTG value when showing a certain image, but too high unusual GTG value only occurs or the situation of low unusual GTG value only occurred.
In another example; the same defective of display panel 2 has bright, dark difference in different display frame, that is the tool defective pixels has too high unusual GTG value and had low unusual GTG value when showing another image when showing a certain image.
Suppose display panel 2 as Fig. 3 A, be respectively first pixel 21, second pixel 22, the 3rd pixel 23, the 4th pixel 24, the 5th pixel 25 and the 6th pixel 26 from left to right.Please refer to Fig. 4 A, suppose that first pixel, 21 to the 6th pixels, the 26 pairing GTG values of display panel 2 are promptly shown in Fig. 4 A when display panel 2 shows first image to the, five images.
By Fig. 4 A as can be known, in first image that image acquisition module 10 is captured, first pixel 21, second pixel 22, the 3rd pixel 23, the 4th pixel 24, the 5th pixel 25 and the 6th pixel 26 pairing GTG values of display panel 2 are 2.Similarly, in the 4th image, first pixel, 21 to the 6th pixels, the 26 pairing GTG values of display panel 2 are 4; In the 5th image, first pixel, 21 to the 6th pixels, the 26 pairing GTG values of display panel 2 are 5.
It should be noted that in second image first pixel 21, second pixel 22, the 4th pixel 24, the 5th pixel 25 and the 6th pixel 26 pairing GTG values of display panel 2 are 3, but the 3rd pixel 23 pairing GTG values are 6; In the 3rd image, first pixel 21, second pixel 22, the 4th pixel 24, the 5th pixel 25 and the 6th pixel 26 pairing GTG values of display panel 2 are 7, but the 3rd pixel 23 pairing GTG values are 4.That is to say that the GTG value of the 3rd pixel 23 has the unusual GTG value of coming highly than other pixels when showing second image, but when showing the 3rd image, then have the unusual GTG value of coming lowly than other pixels.
At this phenomenon, image processing module 12 will be earlier by square mode pairing GTG value is in addition square when showing different images with each pixel of display panel 2 respectively, to obtain the square value of each pixel pairing GTG value when showing different images, shown in Fig. 4 B.
Then, image processing module 12 is more respectively with the square value addition of each pixel pairing GTG value when showing different images, to obtain the stack GTG value of each pixel.Shown in Fig. 4 B, the stack GTG value of first pixel 21, second pixel 22, the 4th pixel 24, the 5th pixel 25 and the 6th pixel 26 is 103; The stack GTG value of the 3rd pixel 23 then is 97.
Then, image processing module 12 will produce the GTG fiducial value that corresponds respectively to each pixel by the mode that adds up again after the stack GTG value that respectively the stack GTG value of each pixel is deducted its neighbor.Shown in Fig. 4 B, just be zero because the stack GTG value 103 of first pixel 21 deducts the stack GTG value 103 of its unique adjacent second pixel 22, represent GTG fiducial value to be zero corresponding to first pixel 21.
For second pixel 22, because second pixel 22 has two adjacent pixels, be respectively first pixel 21 and the 3rd pixel 23, and the stack GTG value 103 of second pixel 22 to deduct the stack GTG value 103 of first pixel 21 just be zero, and the stack GTG value 97 that the stack GTG value 103 of second pixel 22 deducts the 3rd pixel 23 is 6, so be 6 corresponding to the GTG fiducial value of second pixel 22.In like manner can get, be-12 corresponding to the GTG fiducial value of the 3rd pixel 23; GTG fiducial value corresponding to the 4th pixel 24 is 6; GTG fiducial value corresponding to the 5th pixel 25 and the 6th pixel 26 is zero.
Whereby, whether image processing module 12 can unusual according to the GTG fiducial value of first pixel, 21 to the 6th pixels 26, judges whether each pixel has defective, and produces defect distribution information according to above-mentioned judged result, for testing staff's reference.In this example, image processing module 12 can be according to the GTG fiducial value of comparatively unusual second pixel 22, the 3rd pixel 23 and the 4th pixel 24, judge the 3rd pixel 23 and probably have defective, the testing staff can further carry out other scrutiny programs at the 3rd pixel 23.
As for 14 all images that captured in order to storage image acquisition module 10 of storage module, and in order to provide image processing module 12 to read these images to carry out follow-up image processing program.In fact, storage module 14 can be storer, hard disk or other storage devices, there is no certain restriction.
Second specific embodiment according to the present invention is a kind of optical detecting method.In this embodiment, this optical detecting method is applied to the detection of the defect distribution of display panel.In fact, this display panel can be a display panels, but not as limit.Please refer to Fig. 5, Fig. 5 illustrate is the process flow diagram of this optical detecting method.
As shown in Figure 5, at first, execution in step S10 captures this display panel at shown a plurality of images of different time.Generally speaking, in order can effectively all defect on the display panels all to be detected, therefore, this method must make display panel show many different pictures (Show Styles) respectively under the different time and capture the image that display panel shows these pictures, next to carry out the main foundation that defective is judged and analyzed as this method.
In fact, these pictures (Show Styles) can be all different and can be produced or be set arbitrarily by the user by random fashion and get, and there is no certain restriction.
Then, execution in step S12, these a plurality of images that stack step S10 is captured are to produce a superimposed image.Afterwards, execution in step S14, according to the defect distribution information of the resulting superimposed image generation of step S12 corresponding to this display panel, and according to the defect distribution of this defect distribution information judgement corresponding to this display panel.By step S12 and step S14, this method does not promptly need as traditional optical detecting method, carry out the program of an image processing respectively at each image, can successfully produce defect distribution information, so can reduce whole image processing time and image storage area effectively corresponding to this display panel.
In actual applications, because this display panel includes a plurality of pixels, when this display panel showed a image in these a plurality of images, each pixel in these a plurality of pixels was respectively corresponding to a GTG value.It is relevant whether to have defective as for this defect distribution information system and each pixel in these a plurality of pixels.
In fact, above-mentioned defect distribution information system produces by pairing a plurality of stack GTG values of these a plurality of pixels relatively.Produce the mode of these a plurality of stack GTG values as for this method, then have following two kinds:
First kind of mode be, this method is respectively with the pairing a plurality of GTG value addition and obtain this a plurality of stack GTG values when showing this a plurality of image of each pixel.This kind mode is applicable to that the same defective of display panel is not bright when showing different display frame, the situation of dark difference, that is the tool defective pixels does not have too high unusual GTG value (under other GTG value of same image) and had low unusual GTG value (under other GTG value of same image) when showing another image when showing a certain image.
The second way then is; if have too high unusual GTG value and when demonstration second image, had low unusual GTG value during first image of the specific pixel in this a plurality of pixels in showing these a plurality of images; this method will be respectively the addition again after first square of pairing a plurality of GTG values when showing this a plurality of image of each pixel, to obtain this a plurality of stack GTG values.This kind mode is applicable to that the same defective of display panel has bright, dark difference when showing different display frame, that is the tool defective pixels has too high unusual GTG value and had low unusual GTG value when showing another image when showing a certain image.
As shown in Figure 6, produce the stack GTG value of each pixel when this method after, execution in step S20 adds up after respectively the stack GTG value of corresponding each pixel being deducted the stack GTG value of corresponding its neighbor, to produce a plurality of GTG fiducial values corresponding to these a plurality of pixels again.Then, execution in step S22, relatively these a plurality of GTG fiducial values are to produce this defect distribution information, for testing staff's reference.Generally speaking, to have the GTG fiducial value of most pixels be identical numerical value to their GTG fiducial value between each pixel, and then this most GTG fiducial value can be considered normally, and the pixel gray level fiducial value that is different from most GTG fiducial values then is considered as unusually.Therefore, in actual applications, whether step S22 can judge unusually whether each pixel in these a plurality of pixels has defective by each the GTG fiducial value in these a plurality of GTG fiducial values relatively.
In sum, according to optical detection apparatus of the present invention and optical detecting method owing to use the mode of image stack to carry out image processing, so can avoid optical detection panel defect time-division safety pin each image to be carried out separately the situation of defective comparison, significantly to reduce the required whole identification time of optical detection panel defect, also can reduce the space that stores all images.Especially strict when the accuracy requirement of optical detection, that is the image number that need carry out image processing is more for a long time, the present invention has save time and the advantage in space promptly more obvious.
Certainly; the present invention also can have other various embodiments; under the situation that does not deviate from spirit of the present invention and essence thereof; those of ordinary skill in the art work as can make various corresponding changes and distortion according to the present invention, but these corresponding changes and distortion all should belong to the protection domain of the appended claim of the present invention.
Claims (17)
1, a kind of optical detection apparatus is applied to the detection of the defect distribution of a display panel, it is characterized in that, this optical detection apparatus comprises:
One image acquisition module is in order to capture this display panel in shown a plurality of images of different time; And
One image processing module is coupled to this image acquisition module, and this image processing module produces a superimposed image according to this a plurality of images and according to the defect distribution information of this superimposed image generation corresponding to this display panel.
2, optical detection apparatus according to claim 1 is characterized in that, these a plurality of images produce according to a plurality of Show Styles that this display panel shows.
3, optical detection apparatus according to claim 2 is characterized in that, all Show Styles in these a plurality of Show Styles are all different.
4, optical detection apparatus according to claim 2 is characterized in that, these a plurality of Show Styles produce with random fashion or set and got by the user.
5, optical detection apparatus according to claim 1 is characterized in that, this display panel comprises a plurality of pixels, and when this display panel showed a image in these a plurality of images, each pixel in these a plurality of pixels was respectively corresponding to a GTG value.
6, optical detection apparatus according to claim 5 is characterized in that, this image processing module is respectively with the pairing a plurality of GTG value addition when showing this a plurality of image of each pixel, to obtain this a plurality of stack GTG values.
7, optical detection apparatus according to claim 6 is characterized in that, this image processing module relatively these a plurality of stack GTG values to produce this defect distribution information.
8, optical detection apparatus according to claim 1 is characterized in that, further comprises:
One storage module is coupled to this image acquisition module and this image processing module, in order to store these a plurality of images that this image acquisition module captures and to provide this image processing module to read.
9, a kind of optical detecting method is applied to the detection of the defect distribution of a display panel, it is characterized in that, this optical detecting method comprises the following step:
Capture this display panel in shown a plurality of images of different time;
Superpose these a plurality of images to produce a superimposed image; And
Produce a defect information according to this superimposed image, and according to the defect distribution of this defect distribution information judgement corresponding to this display panel.
10, optical detecting method according to claim 9 is characterized in that, these a plurality of images show a plurality of patterns by this display panel and produce.
11, optical detecting method according to claim 10 is characterized in that, all patterns in these a plurality of patterns are all different.
12, optical detecting method according to claim 10 is characterized in that, these a plurality of patterns produce with random fashion or set and got by the user.
13, optical detecting method according to claim 9, it is characterized in that, this display panel comprises a plurality of pixels, when this display panel shows a image in these a plurality of images, each pixel in these a plurality of pixels is respectively corresponding to a GTG value, and wherein can produce a plurality of stack GTG values during this a plurality of image of stack with to should a plurality of pixels.
14, optical detecting method according to claim 13 is characterized in that, comprises that further relatively pairing these a plurality of stack GTG values of these a plurality of pixels are to produce this defect distribution information.
15, optical detecting method according to claim 14 is characterized in that, these most a plurality of stack GTG values have an identical numerical value.
16, optical detecting method according to claim 13; it is characterized in that; when having a too high unusual GTG value and having a low excessively unusual GTG value when the specific pixel in these a plurality of pixels is showing one first image in these a plurality of images when showing one second image, this stack this a plurality of image steps further comprise first respectively with each pixel pairing a plurality of GTG values square when this a plurality of image of demonstration.
17, optical detecting method according to claim 13 is characterized in that, further comprises the following step:
Add up again after respectively this stack GTG value of corresponding each pixel being deducted the stack GTG value of corresponding its neighbor, with a plurality of GTG fiducial values of generation corresponding to these a plurality of pixels; And
Relatively these a plurality of GTG fiducial values are to produce this defect distribution information.
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| CN104730217A (en) * | 2015-04-16 | 2015-06-24 | 京东方科技集团股份有限公司 | Display method and device of flaw distribution of glass substrate |
| CN105301810A (en) * | 2015-11-24 | 2016-02-03 | 上海斐讯数据通信技术有限公司 | Screen defect detecting method and screen defect detecting device |
| CN104157229B (en) * | 2014-07-30 | 2016-08-24 | 京东方科技集团股份有限公司 | The detection method of a kind of array base palte and equipment |
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| CN110596115A (en) * | 2018-06-12 | 2019-12-20 | 欧姆龙株式会社 | Image inspection system and control method thereof |
| CN110596115B (en) * | 2018-06-12 | 2022-03-18 | 欧姆龙株式会社 | Image inspection system and control method thereof |
| CN109671080A (en) * | 2018-12-25 | 2019-04-23 | 惠科股份有限公司 | A kind of image detecting method, detection device and display device |
| CN111833287A (en) * | 2019-04-11 | 2020-10-27 | 陕西坤同半导体科技有限公司 | System for judging defects of display panel by applying deep learning and judging method thereof |
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