CN104101614B - A kind of detection method and device - Google Patents
A kind of detection method and device Download PDFInfo
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- CN104101614B CN104101614B CN201410225977.3A CN201410225977A CN104101614B CN 104101614 B CN104101614 B CN 104101614B CN 201410225977 A CN201410225977 A CN 201410225977A CN 104101614 B CN104101614 B CN 104101614B
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Abstract
The invention provides a kind of detection method and device, this detection method includes: obtained the first image of described substrate to be detected by the first image capture device；First detected value of the first quality control parameter according to substrate to be detected described in described first Image Acquisition；Judge whether described substrate to be detected meets the first quality control strategy pre-set according to described first detected value, obtain the first judged result；When described first judged result indicates described substrate to be detected to meet described first quality control strategy, determine that described substrate to be detected is referred to be made without the substrate of macroscopic view Quality Detection.Present invention reduces the man power and material that the detection of substrate macroscopic view expends.
Description
Technical field
The present invention relates to the detection technique of display base plate, particularly a kind of detection method and device.
Background technology
Thin Film Transistor-LCD (TFT-LCD) as mobile phone, panel computer, notebook computer,
The display element of the product such as display and television set, has become indispensable in life now.
In order to ensure the performance of display, to carry out various during display production and selling
Test, the most just includes the test of the display performance to display floater (such as flicker, Mura etc.).
At present, prize last procedure of film substrate manufacture of TFT-LCD industry is the detection of human eye macroscopic view,
It is exactly that the color membrane substrates after completing all painting membrane process carries out whole human eye macroscopic view detections.
But the detection of existing human eye macroscopic view needs to expend substantial amounts of manpower and materials, is described as follows.
One ripe color membrane substrates production plant, the fraction defective of gross imperfection is about ten thousand/, namely
Say that only having one in average 10,000 color membrane substrates exists macroscopical bad defect.Human eye macroscopic view detection detection one
Substrate takes around 110 seconds, then exist macroscopical bad scarce to detect this from 10,000 color membrane substrates
The color membrane substrates fallen into, needs to expend about 1,100,000 seconds, i.e. the detection time more than 300 hours.Arrange
If 10 testing staff detect, it is also desirable to expend more than 30 hours.
And if using the mode of sampling observation, then almost without checking this from 10,000 color membrane substrates
There is the color membrane substrates of macroscopical bad defect.
Summary of the invention
The purpose of the embodiment of the present invention is to provide a kind of detection method and device, reduces the manpower of Quality Detection
Consume.
To achieve these goals, embodiments provide a kind of detection method, wherein, including:
The first image of described substrate to be detected is obtained by the first image capture device；
First detection of the first quality control parameter according to substrate to be detected described in described first Image Acquisition
Value；
Judge whether described substrate to be detected meets the first quality pre-set according to described first detected value
Control strategy, obtains the first judged result；
When described first judged result indicates described substrate to be detected to meet described first quality control strategy,
Determine that described substrate to be detected is referred to be made without the substrate of macroscopic view Quality Detection.
Above-mentioned detection method, wherein, also includes:
Described substrate to be detected is indicated not meet described first quality control strategy in described first judged result
Time, determine that described substrate to be detected is unsatisfactory for described first quality control strategy according to described first detected value
Problem area；
The second image of described problem area is obtained by the second image capture device；
Second detection of the second quality control parameter according to substrate to be detected described in described second Image Acquisition
Value；
Judge whether described substrate to be detected meets the second quality pre-set according to described second detected value
Control strategy, obtains the second judged result；
When described second judged result indicates described substrate to be detected to meet described second quality control strategy,
Determine that described substrate to be detected is referred to be made without the substrate of macroscopic view Quality Detection.
Above-mentioned detection method, wherein, described in described second image, the sampled point quantity of problem area is more than
The sampled point quantity of problem area described in described first image；Or, the quality of colour of described second image is high
Quality of colour in the first image.
Above-mentioned detection method, wherein, described second image is coloured image, described second quality control ginseng
First average color angle value of the coloured image that the second detected value is problem area of number, according to described second detection
Value judges whether described substrate to be detected meets the second quality control strategy pre-set, and obtains the second judgement
Result specifically includes:
Obtain adjacent with described problem area, there is the coloured image of the contrast district of same shape, and count
Calculate the second average color angle value of the coloured image of contrast district；
When the first average color angle value and the second average color angle value ratio beyond predetermined interval time, then obtain fruit
Described substrate to be detected is indicated to meet the second judged result of described second quality control strategy.
Above-mentioned detection method, wherein, described first quality control parameter is the parameter relevant to gray scale, institute
State the first detected value of the first quality control parameter according to substrate to be detected described in described first Image Acquisition
Specifically include:
Described first image is converted to gray level image；
The first detected value of described first quality control parameter is obtained according to described gray level image.
Above-mentioned detection method, wherein, the first detection of the first quality control parameter of described substrate to be detected
Value is the gray scale detection value sequence of the sampled point of the predetermined quantity of described substrate to be detected, according to described first inspection
Measured value judges whether described substrate to be detected meets the first quality control strategy pre-set, and obtains first and sentences
Disconnected result specifically includes:
It is calculated described gray scale detection value sequence pair according to described gray scale detection value sequence and moving average
The rolling average value sequence answered；
The detection sequence that described moving average sequence pair is answered is calculated according to upper lower limit value；
By the detection being in outside detection sequence corresponding to gray scale detection value in described gray scale detection value sequence
Point is judged to problem sampled point；
Adjudicate whether described substrate to be detected meets the first quality pre-set according to described problem sampled point
Control strategy.
To achieve these goals, the embodiment of the present invention additionally provides a kind of detection device, it is characterised in that
Including:
First acquisition module, for obtaining the first figure of described substrate to be detected by the first image capture device
Picture；
Second acquisition module, for the first quality control according to substrate to be detected described in described first Image Acquisition
First detected value of parameter processed；
According to described first detected value, first judge module, for judging whether described substrate to be detected meets pre-
The the first quality control strategy first arranged, obtains the first judged result；
First determines module, for indicating described substrate to be detected to meet described the in described first judged result
During one quality control strategy, determine that described substrate to be detected is referred to be made without the base of macroscopic view Quality Detection
Plate.
Above-mentioned detection device, wherein, also includes:
Second determines module, described for indicating described substrate to be detected not meet in described first judged result
During the first quality control strategy, determine that described substrate to be detected is unsatisfactory for described according to described first detected value
The problem area of one quality control strategy；
3rd acquisition module, for obtaining the second image of described problem area by the second image capture device；
4th acquisition module, for the second quality control according to substrate to be detected described in described second Image Acquisition
Second detected value of parameter processed；
According to described second detected value, second judge module, for judging whether described substrate to be detected meets pre-
The the second quality control strategy first arranged, obtains the second judged result；
3rd determines module, for indicating described substrate to be detected to meet described the in described second judged result
During two quality control strategies, determine that described substrate to be detected is referred to be made without the base of macroscopic view Quality Detection
Plate.
Above-mentioned detection device, wherein, described in described second image, the sampled point quantity of problem area is more than
The sampled point quantity of problem area described in described first image；Or, the quality of colour of described second image is high
Quality of colour in the first image.
Above-mentioned detection device, wherein, described second image is coloured image, described second quality control ginseng
First average color angle value of the coloured image that the second detected value is problem area of number, described second judge module
Specifically include:
Acquiring unit, adjacent with described problem area for obtaining, there is the contrast district of same shape
Coloured image, and calculate the second average color angle value of the coloured image of contrast district；
Comparing unit, for the ratio when the first average color angle value and the second average color angle value beyond predetermined district
Between time, then obtain fruit indicate described substrate to be detected meet described second quality control strategy second judgement knot
Really.
Above-mentioned detection device, wherein, described first quality control parameter is the parameter relevant to gray scale, institute
State the first acquisition module to specifically include:
Converting unit, for being converted to gray level image by described first image；
Detected value acquiring unit, for obtaining the of described first quality control parameter according to described gray level image
One detected value.
Above-mentioned detection device, wherein, the first detection of the first quality control parameter of described substrate to be detected
Value is the gray scale detection value sequence of the sampled point of the predetermined quantity of described substrate to be detected, the first judge module tool
Body includes:
First ray computing unit, for being calculated according to described gray scale detection value sequence and moving average
The rolling average value sequence that described gray scale detection value sequence is corresponding；
Second sequence calculation sequence, for calculating, according to upper lower limit value, the inspection that described moving average sequence pair is answered
Order-checking row；
Identifying unit, gray scale detection value outside being in described gray scale detection value sequence is detected sequence
Corresponding test point is judged to problem sampled point；
Whether decision unit, for meeting according to the described problem sampled point described substrate to be detected of judgement set in advance
The the first quality control strategy put.
In the specific embodiment of the invention, obtained the first image of described substrate to be detected by image capture device
After, judge whether substrate to be detected meets the quality control strategy pre-set based on image, when judging
When substrate to be detected meets the first quality control strategy pre-set, then it is classified as being made without grand
See the substrate of Quality Detection, therefore decrease the number of substrates needing artificial macroscopic view quality to check, reduce people
Work carries out the man power and material that macroscopic view quality inspection is spent.
Accompanying drawing explanation
Fig. 1 represents the schematic diagram for explaining substrate and panel；
Fig. 2 represents the schematic flow sheet of the detection method of the embodiment of the present invention；
Fig. 3 represents the rolling average curve and the schematic diagram of detection curve used when Mura detects；
Fig. 4 represents the structural representation of the detection device of the substrate of the embodiment of the present invention；
Fig. 5 represents problem area and the schematic diagram of contrast district on the substrate to be detected of the embodiment of the present invention.
Detailed description of the invention
In the detection method of the embodiment of the present invention and device, carry out quality control according to the image of substrate to be detected
System, selects the panel meeting described first quality control strategy, reduces and carries out macroscopic view Quality Detection
The quantity of substrate, thus reduce the manpower consumption of Quality Detection.
Before the embodiment of the present invention is further elaborated, first the application is related to several generally
Thought illustrates, in order to be better understood from the embodiment of the present invention.
Briefly, liquid crystal panel is that in the middle of two pieces of substrates, one layer of liquid crystal molecule of parcel is constituted.During production,
The glass substrate used has a fixing size, then is formed the liquid crystal panel of various sizes by cutting.
Therefore, according to the difference of economic cut lengths, Liquid crystal production line has been also divided into different algebraically, as
The substrate size in 5 line acmes in generation is 1200*1300mm, and the substrate size of 8 generation lines is
2160*2460mm.On the whole, panel algebraically is the highest, and the size of panel is the biggest, the number of screen of cutting
The most, utilization rate and benefit are the highest.
As it is shown in figure 1, the substrate in the specific embodiment of the invention refers to the overall glass plate before cutting
101, and panel refers to the little piecemeal 102 on described substrate, these piecemeals finally make becomes electronics
The display unit of device.
A kind of detection method of the embodiment of the present invention is as in figure 2 it is shown, include:
Step 201, obtains the first image of described substrate to be detected by the first image capture device；
Step 202, according to the first quality control parameter of substrate to be detected described in described first Image Acquisition
First detected value；
According to described first detected value, step 203, judges whether described substrate to be detected meets and pre-sets
First quality control strategy, obtains the first judged result；
Step 204, indicates described substrate to be detected to meet described first quality control in described first judged result
During system strategy, determine that described substrate to be detected is referred to be made without the substrate of macroscopic view Quality Detection.
In the specific embodiment of the invention, obtained the first image of described substrate to be detected by image capture device
After, judge whether substrate to be detected meets the quality control strategy pre-set based on image, when judging
When substrate to be detected meets the first quality control strategy pre-set, then it is classified as being made without grand
See the substrate of Quality Detection, therefore decrease the number of substrates needing artificial macroscopic view quality to check, reduce people
Work carries out the man power and material that macroscopic view quality inspection is spent.
Owing at macroscopic view quality examination phase, being all dependent on the eyes of quality inspection personnel to distinguish that substrate to be detected is
No meet the requirements, therefore macroscopic view Quality Detection substantially a kind of image detecting method.
And rely on the detection of human eye substantially to can be by what computer picture detection realized.Due to difference
Producer may use different distinguish strategy to distinguish whether substrate to be detected meets the requirements, therefore at this
Bright specific embodiment does not limit to use which kind of algorithm (i.e. using which kind of the first quality control strategy).
Certainly, it is mistaken for normal substrate, at this in order to avoid not meeting the substrate of quality control requirement
In bright specific embodiment, the strictest quality control strategy can be set, but how tight no matter use
The quality control strategy of lattice, always can to meet these the strictest for the extraordinary substrate of some quality
Quality control strategy, the most just can reduce and manually carry out the macroscopic view man power and material that spent of quality inspection.
This is illustrated below.
It is uneven that Mura (Mu La) phenomenon refers to display brightness, causes the phenomenon of various vestige.Mesh
The front determination methods in the macroscopic view quality stage is exactly, and testing staff goes to discriminate whether to exist as laterally by human eye
Various types of Mura such as striped, 45 degree of angle bead lines.And this situation is actual reflects on image,
The gray scale being exactly Mura region is bigger with the gray scale difference of normal region.
Now, the method using the embodiment of the present invention, then a less greyness discriminance thresholding can be set,
Only overall gray scale difference is respectively less than this greyness discriminance thresholding and is just identified as being made without macroscopic view quality
The substrate of detection, therefore, can't affect product when reducing the number of substrates needing the quality inspection of artificial macroscopic view
The control of quality.
Certainly, along with being gradually increased of greyness discriminance thresholding, then it is determined as being made without macroscopic view Quality Detection
Substrate can get more and more.For the setting of this greyness discriminance thresholding, can be by the quality inspection of artificial macroscopic view
The gray feature of the in-problem substrate gone out determines, does not elaborates at this.
In the specific embodiment of the invention, when arranging the strictest quality control strategy, may detection
The number of substrates being made without the quality inspection of artificial macroscopic view gone out is not a lot, in order to reduce needs further
Carry out the number of substrates that artificial macroscopic view quality checks, the embodiment of the present invention reduces examination scope further and carries
The degree of accuracy of high detection.
Under this mode, the detection method of the embodiment of the present invention also includes:
Described substrate to be detected is indicated not meet described first quality control strategy in described first judged result
Time, determine that described substrate to be detected is unsatisfactory for described first quality control strategy according to described first detected value
Problem area；
The second image of described problem area is obtained by the second image capture device；
Second detection of the second quality control parameter according to substrate to be detected described in described second Image Acquisition
Value；
Judge whether described substrate to be detected meets the second quality pre-set according to described second detected value
Control strategy, obtains the second judged result；
When described second judged result indicates described substrate to be detected to meet described second quality control strategy,
Determine that described substrate to be detected is referred to be made without the substrate of macroscopic view Quality Detection.
When the needs filtered out by for the first time quality control, to carry out the number of substrates of macroscopic view Quality Detection more
Time, the embodiment of the present invention reduces detection range further, to being unsatisfactory for described first quality control strategy
Problem area determines whether.Owing to needing the scope judged to narrow down to a problem from whole substrate
Region, therefore can judge more accurately according to the image of the less problem area of this scope, and then
Do not meet from these and substrate of the first quality requirements is picked out satisfactory substrate, reduce further and need
Carry out the number of substrates that artificial macroscopic view quality checks.
In a particular embodiment of the present invention, in order to ensure to detect quality, problem described in described second image
The sampled point quantity in region is more than the sampled point quantity of problem area described in described first image；Or, described
The quality of colour of the second image is higher than the quality of colour of the first image.
When gathering more data corresponding to a region, also the most corresponding for carrying out the data of defects detection
Increase, therefore, it is possible to detect defect more accurately.
And when using the higher image of quality of colour also to be able to detect more accurately defect, as the first image is
Gray level image, and the second image is real color image, it can be divided into 216 grades, and gray level image is only
256 grades, therefore use the colour measurement of defect area can detect defect more accurately.
Collection for gray level image can be realized by the combination of linear CCD with LED light source.
It is that detection procedure declaration during true color image is as follows below for the second image.
When determining that described substrate to be detected is unsatisfactory for described first quality control plan according to described first detected value
After problem area (as shown in Figure 5) slightly, acquisition problems region is adjacent, and has the contrast of same shape
The coloured image in region (as shown in Figure 5), and the contrast of coloured image based on two positions detects.
Detailed process is as described below:
Obtain the first coloured image of the problem area being unsatisfactory for described first quality control strategy, and calculate institute
State the first average color angle value of the first coloured image；
Obtain adjacent with described problem area, there is the second coloured image of the contrast district of same shape,
And calculate the second average color angle value of described second coloured image；
When the first average color angle value and the second average color angle value ratio beyond predetermined interval time, then obtain fruit
Described substrate to be detected is indicated to meet the second judged result of described second quality control strategy.
Under normal circumstances, meet the substrate of quality requirements the region with same shape average color angle value it
Between gap not too large, so when the average color angle value of average color angle value and the normal region of problem area surpasses
Going out an interval, during such as (0.7,1.3), the average color angle value in problem of representation region is flat with normal region
All chromatic value gaps (considering with percentage) are relatively big, then substrate does not meets quality requirements.
This interval can carry out statistics by the substrate determining result and obtain.
Mentioning, different producers may use different distinguishing, and strategy is to distinguish whether substrate to be detected accords with before
Close requirement, and these different strategies will be corresponding to the different detection parameters relevant to image, the present invention
Specific embodiment further provides for one and uses conveniently detection scheme, is described as follows.
In the specific embodiment of the invention, described first quality control parameter is the parameter relevant to gray scale, described
First detected value tool of the first quality control parameter according to substrate to be detected described in described first Image Acquisition
Body includes:
Described first image is converted to gray level image；
The first detected value of described first quality control parameter is obtained according to described gray level image.
The specific embodiment of the invention can utilize image to carry out various possible detection, a kind of common substrate
It is detected as Mura detection.When the specific embodiment of the invention detects for Mura, described substrate to be detected
The sampled point of the predetermined quantity that the first detected value is described substrate to be detected of the first quality control parameter
According to described first detected value, gray scale detection value sequence, judges whether described substrate to be detected meets and pre-sets
The first quality control strategy, obtain the first judged result and specifically include:
It is calculated described gray scale detection value sequence pair according to described gray scale detection value sequence and moving average
The rolling average value sequence answered；
The detection sequence that described moving average sequence pair is answered is calculated according to upper lower limit value；
By the detection being in outside detection sequence corresponding to gray scale detection value in described gray scale detection value sequence
Point is judged to problem sampled point；
Adjudicate whether described substrate to be detected meets the first quality pre-set according to described problem sampled point
Control strategy.
As follows to this detailed description.
Mura detection detects mainly by two parameters (moving average and upper lower limit value).
Moving average M is for carrying out gray scale detection curve (with the curve of diamond indicia in Fig. 3)
Smoothing processing, obtains rolling average curve (with the curve of square mark in Fig. 3).
Assuming that M=3, then such as a gray value detection sequence Xi(i=1,2,3 ..., N) corresponding ash
Angle value rolling average sequence X ', wherein the value of m-th element is equal to X 'm=(Xm-1+Xm+Xm-1)/3。
After obtaining mean value, determine upper lower limit value, will rolling average curve upwards pan-down,
To two detection curves (with the curve of trigonometric sum cross mark in Fig. 3).
When the gray value of the monitoring point on gray scale detection curve is outside two detection curve limited ranges
Time, i.e. represent existing defects.
It is found that Mura detection is whether accurate closely related with moving average and upper lower limit value.
In the specific embodiment of the invention, after obtaining the gray scale detection value sequence of substrate, can be according to Mura
Moving average in detection criteria parameter is calculated the rolling average value sequence of substrate to be measured, and then foundation
Upper lower limit value in Mura detection criteria parameter is calculated two detection sequences, final according to gray scale inspection
Each numerical value in measured value sequence judges, corresponding in this numerical value is not in detection sequence
Time between two numerical value, i.e. represent existing defects.
Certainly, above problem area can also obtain based on above-mentioned testing result.
The detection device of the embodiment of the present invention, as shown in Figure 4, including:
First acquisition module, for obtaining the first figure of described substrate to be detected by the first image capture device
Picture；
Second acquisition module, for the first quality control according to substrate to be detected described in described first Image Acquisition
First detected value of parameter processed；
According to described first detected value, first judge module, for judging whether described substrate to be detected meets pre-
The the first quality control strategy first arranged, obtains the first judged result；
First determines module, for indicating described substrate to be detected to meet described the in described first judged result
During one quality control strategy, determine that described substrate to be detected is referred to be made without the base of macroscopic view Quality Detection
Plate.
Above-mentioned detection device, wherein, also includes:
Second determines module, described for indicating described substrate to be detected not meet in described first judged result
During the first quality control strategy, determine that described substrate to be detected is unsatisfactory for described according to described first detected value
The problem area of one quality control strategy；
3rd acquisition module, for obtaining the second image of described problem area by the second image capture device；
4th acquisition module, for the second quality control according to substrate to be detected described in described second Image Acquisition
Second detected value of parameter processed；
According to described second detected value, second judge module, for judging whether described substrate to be detected meets pre-
The the second quality control strategy first arranged, obtains the second judged result；
3rd determines module, for indicating described substrate to be detected to meet described the in described second judged result
During two quality control strategies, determine that described substrate to be detected is referred to be made without the base of macroscopic view Quality Detection
Plate.
Above-mentioned detection device, wherein, described in described second image, the sampled point quantity of problem area is more than
The sampled point quantity of problem area described in described first image；Or, the quality of colour of described second image is high
Quality of colour in the first image.
Above-mentioned detection device, wherein, described second image is coloured image, described second quality control ginseng
First average color angle value of the coloured image that the second detected value is problem area of number, described second judge module
Specifically include:
Acquiring unit, adjacent with described problem area for obtaining, there is the contrast district of same shape
Coloured image, and calculate the second average color angle value of the coloured image of contrast district；
Comparing unit, for the ratio when the first average color angle value and the second average color angle value beyond predetermined district
Between time, then obtain fruit indicate described substrate to be detected meet described second quality control strategy second judgement knot
Really.
Above-mentioned detection device, wherein, described first quality control parameter is the parameter relevant to gray scale, institute
State the first acquisition module to specifically include:
Converting unit, for being converted to gray level image by described first image；
Detected value acquiring unit, for obtaining the of described first quality control parameter according to described gray level image
One detected value.
Above-mentioned detection device, wherein, the first detection of the first quality control parameter of described substrate to be detected
Value is the gray scale detection value sequence of the sampled point of the predetermined quantity of described substrate to be detected, the first judge module tool
Body includes:
First ray computing unit, for being calculated according to described gray scale detection value sequence and moving average
The rolling average value sequence that described gray scale detection value sequence is corresponding；
Second sequence calculation sequence, for calculating, according to upper lower limit value, the inspection that described moving average sequence pair is answered
Order-checking row；
Identifying unit, gray scale detection value outside being in described gray scale detection value sequence is detected sequence
Corresponding test point is judged to problem sampled point；
Whether decision unit, for meeting according to the described problem sampled point described substrate to be detected of judgement set in advance
The the first quality control strategy put.
The testing process carried out the method for the application embodiment of the present invention below is further described below.
On each production line, substrate is through test point, and line camera coordinates indirect illumination unit to obtain
The image of substrate；
After obtaining the image of substrate, the image got can be converted to gray level image, and many to image
Individual sampled point carries out gray value measurement, and when there is no defect, then can demarcate this substrate is " G ", no
Needs carry out macroscopic view detection.
When there may be defect, then can demarcate this substrate is " A ", needs to carry out follow-up judgement.
Now can determine those suspected defects region according to intensity measurement further, and utilize precision higher
Camera carries out higher precision to defect area and takes pictures, and generates colour picture.
After obtaining colour picture, chrominance distortion can be carried out according to colour picture, those suspected defects region is carried out
Judging more accurately, the judgement not meeting quality requirement is " A ", is otherwise judged to need not macroscopic view inspection
Survey " G ".
Finally it is judged to that the substrate of " G " directly sends by sending out sheet mouth, is judged to the substrate of " A " then
Enter final macroscopical detection equipment, operator carry out human eye judgement, determine final testing result.
The method and apparatus of the application embodiment of the present invention has a following beneficial effect:
1, in the specific embodiment of the invention, the first of described substrate to be detected is obtained by image capture device
After image, judge whether substrate to be detected meets the quality control strategy pre-set based on image, when sentencing
Break and substrate to be detected when meeting the first quality control strategy pre-set, then be classified as need not into
The substrate of row macroscopic view Quality Detection, therefore decreases the number of substrates needing artificial macroscopic view quality to check, reduces
Manually carry out the man power and material that macroscopic view quality inspection is spent.
2, owing to needing the number of substrates manually carrying out macroscopic view Quality Detection to reduce, macroscopic view product are the most just reduced
The time of quality detection, improve the output efficiency of factory；
3, owing to needing the number of substrates manually carrying out macroscopic view Quality Detection to reduce, therefore, at product export
In the case of time is certain, greatly reduces the device requirement for macroscopic view Quality Detection, reduce cost.
It will be understood by those within the art that, technical scheme can be modified or
Equivalent, without deviating from the scope of technical solution of the present invention, it all should contain the right in the present invention
In the middle of claimed range.
Claims (10)
1. a detection method, it is characterised in that including:
The first image of substrate to be detected is obtained by the first image capture device；
First detection of the first quality control parameter according to substrate to be detected described in described first Image Acquisition
Value；
Judge whether described substrate to be detected meets the first quality pre-set according to described first detected value
Control strategy, obtains the first judged result；
When described first judged result indicates described substrate to be detected to meet described first quality control strategy,
Determine that described substrate to be detected is referred to be made without the substrate of macroscopic view Quality Detection；
Described substrate to be detected is indicated not meet described first quality control strategy in described first judged result
Time, determine that described substrate to be detected is unsatisfactory for described first quality control strategy according to described first detected value
Problem area；
The second image of described problem area is obtained by the second image capture device；
Second detection of the second quality control parameter according to substrate to be detected described in described second Image Acquisition
Value；
Judge whether described substrate to be detected meets the second quality pre-set according to described second detected value
Control strategy, obtains the second judged result；
When described second judged result indicates described substrate to be detected to meet described second quality control strategy,
Determine that described substrate to be detected is referred to be made without the substrate of macroscopic view Quality Detection.
Detection method the most according to claim 1, it is characterised in that described in described second image
The sampled point quantity of problem area is more than the sampled point quantity of problem area described in described first image；Or,
The quality of colour of described second image is higher than the quality of colour of the first image.
Detection method the most according to claim 2, it is characterised in that described second image is colored
Image, the first of the coloured image that the second detected value is problem area of described second quality control parameter is average
According to described second detected value, chromatic value, judges whether described substrate to be detected meets the second product pre-set
Matter control strategy, obtains the second judged result and specifically includes:
Obtain adjacent with described problem area, there is the coloured image of the contrast district of same shape, and count
Calculate the second average color angle value of the coloured image of contrast district；
When the first average color angle value and the second average color angle value ratio beyond predetermined interval time, then obtain fruit
Described substrate to be detected is indicated to meet the second judged result of described second quality control strategy.
4. according to the detection method described in claim 1 or 2 or 3, it is characterised in that described first product
Quality Control parameter is the parameter relevant to gray scale, described according to substrate to be detected described in described first Image Acquisition
The first detected value of the first quality control parameter specifically include:
Described first image is converted to gray level image；
The first detected value of described first quality control parameter is obtained according to described gray level image.
Detection method the most according to claim 4, it is characterised in that the of described substrate to be detected
First detected value of one quality control parameter is the gray scale of the sampled point of the predetermined quantity of described substrate to be detected
According to described first detected value, detected value sequence, judges whether described substrate to be detected meets pre-set
One quality control strategy, obtains the first judged result and specifically includes:
It is calculated described gray scale detection value sequence pair according to described gray scale detection value sequence and moving average
The rolling average value sequence answered；
The detection sequence that described moving average sequence pair is answered is calculated according to upper lower limit value；
By the detection being in outside detection sequence corresponding to gray scale detection value in described gray scale detection value sequence
Point is judged to problem sampled point；
Adjudicate whether described substrate to be detected meets the first quality pre-set according to described problem sampled point
Control strategy.
6. a detection device, it is characterised in that including:
First acquisition module, for obtaining the first image of substrate to be detected by the first image capture device；
Second acquisition module, for the first quality control according to substrate to be detected described in described first Image Acquisition
First detected value of parameter processed；
According to described first detected value, first judge module, for judging whether described substrate to be detected meets pre-
The the first quality control strategy first arranged, obtains the first judged result；
First determines module, for indicating described substrate to be detected to meet described the in described first judged result
During one quality control strategy, determine that described substrate to be detected is referred to be made without the base of macroscopic view Quality Detection
Plate；
Second determines module, described for indicating described substrate to be detected not meet in described first judged result
During the first quality control strategy, determine that described substrate to be detected is unsatisfactory for described according to described first detected value
The problem area of one quality control strategy；
3rd acquisition module, for obtaining the second figure of described problem area by the second image capture device
Picture；
4th acquisition module, for the second quality control according to substrate to be detected described in described second Image Acquisition
Second detected value of parameter processed；
According to described second detected value, second judge module, for judging whether described substrate to be detected meets pre-
The the second quality control strategy first arranged, obtains the second judged result；
3rd determines module, for indicating described substrate to be detected to meet described the in described second judged result
During two quality control strategies, determine that described substrate to be detected is referred to be made without the base of macroscopic view Quality Detection
Plate.
Detection device the most according to claim 6, it is characterised in that described in described second image
The sampled point quantity of problem area is more than the sampled point quantity of problem area described in described first image；Or,
The quality of colour of described second image is higher than the quality of colour of the first image.
Detection device the most according to claim 7, it is characterised in that described second image is colored
Image, the first of the coloured image that the second detected value is problem area of described second quality control parameter is average
Chromatic value, described second judge module specifically includes:
Acquiring unit, adjacent with described problem area for obtaining, there is the contrast district of same shape
Coloured image, and calculate the second average color angle value of the coloured image of contrast district；
Comparing unit, for the ratio when the first average color angle value and the second average color angle value beyond predetermined district
Between time, then obtain fruit indicate described substrate to be detected meet described second quality control strategy second judgement knot
Really.
9. according to the detection device described in claim 6 or 7 or 8, it is characterised in that described first product
Quality Control parameter is the parameter relevant to gray scale, and described first acquisition module specifically includes:
Converting unit, for being converted to gray level image by described first image；
Detected value acquiring unit, for obtaining the of described first quality control parameter according to described gray level image
One detected value.
Detection device the most according to claim 9, it is characterised in that the of described substrate to be detected
First detected value of one quality control parameter is the gray scale of the sampled point of the predetermined quantity of described substrate to be detected
Detected value sequence, the first judge module specifically includes:
First ray computing unit, for being calculated according to described gray scale detection value sequence and moving average
The rolling average value sequence that described gray scale detection value sequence is corresponding；
Second sequence calculation sequence, for calculating, according to upper lower limit value, the inspection that described moving average sequence pair is answered
Order-checking row；
Identifying unit, gray scale detection value outside being in described gray scale detection value sequence is detected sequence
Corresponding test point is judged to problem sampled point；
Whether decision unit, for meeting according to the described problem sampled point described substrate to be detected of judgement set in advance
The the first quality control strategy put.
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| CN109426013B (en) * | 2017-08-23 | 2020-06-23 | 京东方科技集团股份有限公司 | Method and device for analyzing and detecting and repairing defects of color film substrate |
| CN110618140A (en) * | 2019-11-01 | 2019-12-27 | 杭州深度视觉科技有限公司 | Machine vision detection system and method for bearing ring grinding vibration lines |
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