CN106442560A - Positioning measurement and defect detection method of display screen - Google Patents
Positioning measurement and defect detection method of display screen Download PDFInfo
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- CN106442560A CN106442560A CN201610706347.7A CN201610706347A CN106442560A CN 106442560 A CN106442560 A CN 106442560A CN 201610706347 A CN201610706347 A CN 201610706347A CN 106442560 A CN106442560 A CN 106442560A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/94—Investigating contamination, e.g. dust
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2201/00—Features of devices classified in G01N21/00
- G01N2201/10—Scanning
- G01N2201/102—Video camera
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Abstract
The invention relates to the field of glass detection, and particularly relates to a positioning measurement and defect detection method of a display screen; a display screen detecting device is applied to perform the positioning measurement and defect detection on the display screen; the display screen detecting device comprises a first camera, a second camera, a camera bracket, an X-axis servo motor and a Y-axis servo motor; the first camera and the second camera are arranged on the camera bracket, the X-axis servo motor drives the camera bracket to move along the X axis direction, and the Y-axis servo motor drives the camera bracket to move along the Y axis direction; the positioning measurement and defect detection includes image collection, image pretreatment and surface defect detection. Compared with the prior art, the invention can shoot, position and detect the display screen by the detection device, effectively detect multiple defects of the display screen, solve the problem of low detection efficiency and bad effect of naked eye of people, and guarantee the product yield.
Description
Technical field
The present invention relates to glass detection field, be specifically related to positioning measurement and the defect inspection method of a kind of display screen.
Background technology
In the production process of display screen, being affected by the uncertain factor of production process, easily there is surface shape in display screen
Shape defect, as glass edge has bubble, dust etc. along between breakage, crackle, glass and diaphragm, these defects all can cause glass
Off quality, it is therefore desirable to quality testing is carried out to display screen.This kind of production flaw is passed through manual type by prior art
Carry out naked eyes detection, but such issues that show inconspicuous, it is difficult to detect one by one, also lack corresponding inspection in the prior art
Measurement equipment detects automatically, and the display screen after pad pasting is not even detected by some manufacturers, makes product percent of pass difficult
To ensure, product can be caused when serious to return goods, affect corporate image.
Content of the invention
It is an object of the invention to provide positioning measurement and the defect inspection method of a kind of display screen, solve prior art and lean on
The problem of artificial naked eyes detection efficiency low effect difference.
In order to realize above-mentioned purpose, adopt the following technical scheme that.The positioning measurement of a kind of display screen and defects detection
Method, uses display screen detection device to carry out positioning measurement and defects detection to display screen, and described display screen detection device includes
First camera, second camera, camera support, X-axis servomotor and Y-axis servomotor, described first camera and second camera set
Putting on described camera support, camera support described in described X-axis driven by servomotor moves along X-direction, described Y-axis servo electricity
Machine drives described camera support to move along Y direction, and described positioning measurement and defects detection include IMAQ, Image semantic classification
And surface defects detection.
Described IMAQ comprises the following steps：S11, calculate the sequence taken pictures and position；The sequence that S12, calculating are processed
And parameter；S13, control X-axis servomotor and Y-axis driven by servomotor camera support move, and make camera move to the position taken pictures
Put；S14, first camera and second camera carry out taking pictures and preserve photo；S15, judge whether to take pictures in all positions and finish, if
Taking pictures and not finishing then return step S13, finishing if taken pictures, IMAQ terminates.
During because detection object is positioned over detection platform, have position deviation, accordingly, it would be desirable to image is carried out to detection region
Pretreatment, described Image semantic classification includes image mosaic, framing and image correcting error.
Described image mosaic comprises the following steps：S21, loading photo corresponding X-axis servomotor coordinate and Y-axis servo electricity
Machine coordinate；S22, loading photo and X-axis servomotor coordinate, the conversion factor of Y-axis servomotor coordinate；S23, generation one are big
Splicing picture；S24, according to the coordinate of servomotor photo copied to splice the correspondence position of picture；S25, judge whether
All photomosaics finish, if splicing does not finishes, return step S24, if splicing finishes, image mosaic terminates.
Described framing comprises the following steps：S31, from stitching image calculate first template area；S32, search
First template；S33, from stitching image calculate second template area；S34, second template of search；S35, with benchmark mould
The center of the center of plate and the template searching calculates affine matrix；S36, framing terminate.
Described image correcting error comprises the following steps：S41, region conversion；S42, loading region；S43, carry out affine transformation；
S44, judging whether that all regional processings finish, not finishing if processed, returning step S42, if be disposed, image entangles
Partially terminate.
Described surface defects detection includes that dust and bubble detection, FPC ear spill detection, display screen is damaged and crackle is examined
Survey, diaphragm off normal detects.
It is relatively deep that dust defect shows as color, and size is less, and it is shallower that air blister defect shows as color, and size is bigger.For
Both defects, use different smooth threshold values and segmentation threshold to process respectively, then integrate again.Described dust and bubble
Detection comprises the following steps：S51, Load Image and detect region；S52, Threshold segmentation obtain silver slurry region；S53, determination to be looked into
Look for the region of dust and bubble；S54 is if dust detection then carries out the image smoothing that threshold value is 11 × 11, if bubble
Detection then carries out the image smoothing that threshold value is 121 × 121；S55 is if dust detection then carries out the image that threshold value is 30 and asks
Difference, if bubble detection then carries out the image that threshold value is 3 and asks poor, is then peeled off background；S56, BLOB analyze；S57, defect mistake
Filter；S58, defect are integrated；S59, dust and bubble detection terminate.
Described FPC ear spills detection and comprises the following steps：S61, Load Image and detect region；S62, Canny seek wheel
Wide image；S63, look for qualified straight line from top to bottom；S64, generation detection region；S65, Threshold segmentation obtain defect；
S66, BLOB analyze；S67, defect filter；S68, FPC ear spills detection to be terminated.
Damaged and crackle the detection of display screen need to be set up on the premise of having found glass edge edge and diaphragm.Described aobvious
Display screen is damaged and crack detection comprises the following steps：S71, Load Image and detect region；S72, the edge generating glass and film
Region；S73, carry out the row that row that threshold value is 1 × 21 is smooth and threshold value is 21 × 1 respectively and smooth；S74, Threshold segmentation are obtained scarce
Fall into；S75, BLOB analyze；S76, defect filter；S77, defect are integrated；S78, display screen are damaged and crack detection terminates.
The detection of described diaphragm off normal comprises the following steps：S81, Load Image and detect region；S82, Canny seek profile
Image；S83, obtain straight line；S84, straight line is ranked up, obtains diaphragm；S85, the relative position according to diaphragm, reduce
Detection region；S86, obtain straight line；S87, straight line is ranked up, obtains glass edge edge；S88, to diaphragm to glass away from
From judging；S89, the detection of diaphragm off normal terminate.
Compared with prior art, display screen can be carried out taking pictures, position and detecting by the present invention by detecting device, can be effective
Detect the number of drawbacks that display screen exists, the problem solving the low effect difference of artificial naked eyes detection efficiency, it is ensured that the conjunction of product
Lattice rate.
Brief description
Fig. 1 is the structural representation of display screen detection device；
Fig. 2 is the schematic flow sheet of IMAQ；
Fig. 3 is the schematic flow sheet of image mosaic；
Fig. 4 is the schematic flow sheet of framing；
Fig. 5 is the schematic flow sheet of image correcting error；
Fig. 6 is dust and the schematic flow sheet of bubble detection；
Fig. 7 is the schematic flow sheet that FPC ear spills detection；
Fig. 8 is the schematic flow sheet of glass breakage and crack detection；
Fig. 9 is the schematic flow sheet of diaphragm off normal detection；
Figure 10 is embodiment step one schematic diagram；
Figure 11 is embodiment step 2 schematic diagram；
Figure 12 is embodiment step 3 schematic diagram；
Figure 13 is embodiment step 4 schematic diagram；
Figure 14 is embodiment step 5 schematic diagram；
Figure 15 is embodiment step 6 schematic diagram.
Detailed description of the invention
The invention will be further described below in conjunction with the accompanying drawings.
The present invention uses display screen detection device to carry out positioning measurement and defects detection to display screen, and display screen detects device
Structure as it is shown in figure 1, include first camera, second camera, camera support, X-axis servomotor and Y-axis servomotor.First
Camera and second camera are arranged on camera support, and X-axis driven by servomotor camera support moves along X-direction, Y-axis servo electricity
Machine drives camera support to move along Y direction.Positioning measurement and defects detection include that IMAQ, Image semantic classification and surface lack
Fall into detection.
The flow process of IMAQ is as in figure 2 it is shown, comprise the following steps：S11, calculate the sequence taken pictures and position；S12, meter
The sequence of calculation process and parameter；S13, control X-axis servomotor and Y-axis driven by servomotor camera support move, and make camera move
Move the position taken pictures；S14, first camera and second camera carry out taking pictures and preserve photo；S15, judge whether all positions
Taking pictures and finishing, not finishing if taken pictures, returning step S13, finishing if taken pictures, IMAQ terminates.
During because detection object is positioned over detection platform, have position deviation, accordingly, it would be desirable to image is carried out to detection region
Pretreatment, Image semantic classification includes image mosaic, framing and image correcting error.
The flow process of image mosaic is as it is shown on figure 3, comprise the following steps：S21, loading photo corresponding X-axis servomotor are sat
Mark and Y-axis servomotor coordinate；S22, loading photo and X-axis servomotor coordinate, the conversion factor of Y-axis servomotor coordinate；
S23, one big splicing picture of generation；S24, according to the coordinate of servomotor photo copied to splice the corresponding position of picture
Put；S25, judge whether that all photomosaic finishes, if splicing does not finishes, return step S24, if splicing finishes, scheme
As splicing terminates.
The flow process of framing as shown in Figure 4, comprises the following steps：S31, from stitching image calculate first template region
Territory；S32, first template of search；S33, from stitching image calculate second template area；S34, second template of search；
S35, the center with the center of reference templates and the template searching calculate affine matrix；S36, framing knot
Bundle.
The flow process of image correcting error is as it is shown in figure 5, comprise the following steps：S41, region conversion；S42, loading region；S43, enter
Row affine transformation；S44, judging whether that all regional processings finish, not finishing if processed, return step S42, if processed
Finishing, image correcting error terminates.
Surface defects detection include dust and bubble detection, FPC ear spill detection, display screen breakage and crack detection,
Diaphragm off normal detects.
It is relatively deep that dust defect shows as color, and size is less, and it is shallower that air blister defect shows as color, and size is bigger.For
Both defects, use different smooth threshold values and segmentation threshold to process respectively, then integrate again.Dust and bubble detection
Flow process as shown in Figure 6, comprise the following steps：S51, Load Image and detect region；S52, Threshold segmentation obtain silver slurry region；
S53, the region determining dust to be searched and bubble；S54 puts down if dust detection then carries out the image that threshold value is 11 × 11
Sliding, if bubble detection then carries out the image smoothing that threshold value is 121 × 121；S55 is if dust detection then carries out threshold value
Be 30 image ask poor, if bubble detection then carries out the image that threshold value is 3 and asks poor, be then peeled off background；S56, BLOB divide
Analysis；S57, defect filter；S58, defect are integrated；S59, dust and bubble detection terminate.
FPC ear spills the flow process of detection as it is shown in fig. 7, comprises following steps：S61, Load Image and detect region；
S62, Canny seek contour images；S63, look for qualified straight line from top to bottom；S64, generation detection region；S65, threshold value are divided
Cut and obtain defect；S66, BLOB analyze；S67, defect filter；S68, FPC ear spills detection to be terminated.
Damaged and crackle the detection of display screen need to be set up on the premise of having found glass edge edge and diaphragm.Display screen
The flow process of breakage and crack detection as shown in Figure 8, comprises the following steps：S71, Load Image and detect region；S72, generation glass
Glass and the border area of film；S73, carry out the row that row that threshold value is 1 × 21 is smooth and threshold value is 21 × 1 respectively and smooth；S74, threshold
Defect is obtained in value segmentation；S75, BLOB analyze；S76, defect filter；S77, defect are integrated；S78, display screen are damaged and crackle is examined
Survey terminates.
The flow process of diaphragm off normal detection is as it is shown in figure 9, comprise the following steps：S81, Load Image and detect region；
S82, Canny seek contour images；S83, obtain straight line；S84, straight line is ranked up, obtains diaphragm；S85, according to diaphragm
Relative position, reduce detection region；S86, obtain straight line；S87, straight line is ranked up, obtains glass edge edge；S88, to guarantor
Cuticula judges to the distance of glass；S89, the detection of diaphragm off normal terminate.
Embodiment, dust and bubble detect
Step one, determine that detection region is display screen frame toward the scope of direction 20 × 20mm inside display screen, such as Figure 10 so；
Step 2, the inner side intersection point finding silver slurry by way of Threshold segmentation and lookup straight line, and draw two lines, such as Figure 11
Shown in；
Step 3, the region determining detection dust, as shown in figure 12；
Step 4, lookup dust, as shown in figure 13；
Step 5, lookup bubble, as shown in figure 14；
Step 6, defect are integrated, as shown in figure 15；
Complete dust and bubble detection.
Claims (8)
1. the positioning of a display screen is measured and defect inspection method, it is characterised in that use display screen detection device to display
Screen carries out positioning measurement and defects detection, and described display screen detection device includes first camera, second camera, camera support, X-axis
Servomotor and Y-axis servomotor, described first camera and second camera be arranged on described camera support, described X-axis servo
Motor drives described camera support to move along X-direction, and camera support described in described Y-axis driven by servomotor moves along Y direction
Dynamic, described positioning measurement and defects detection include IMAQ, Image semantic classification and surface defects detection.
2. the positioning of display screen according to claim 1 is measured and defect inspection method, it is characterised in that described image is adopted
Collection comprises the following steps：S11, calculate the sequence taken pictures and position；S12, the sequence of calculating process and parameter；S13, control X-axis
Servomotor and Y-axis driven by servomotor camera support move, and make camera move to the position taken pictures；S14, first camera and the
Two cameras carry out taking pictures and preserve photo；S15, judge whether to take pictures in all positions and finish, not finishing if taken pictures, returning step
Rapid S13, finishes if taken pictures, and IMAQ terminates.
3. the positioning of display screen according to claim 1 is measured and defect inspection method, it is characterised in that described image is pre-
Process includes image mosaic, framing and image correcting error,
Described image mosaic comprises the following steps：S21, loading photo corresponding X-axis servomotor coordinate and Y-axis servomotor are sat
Mark；S22, loading photo and X-axis servomotor coordinate, the conversion factor of Y-axis servomotor coordinate；S23, one big spelling of generation
Map interlinking piece；S24, according to the coordinate of servomotor photo copied to splice the correspondence position of picture；S25, judge whether own
Photomosaic finishes, if splicing does not finishes, returns step S24, if splicing finishes, image mosaic terminates；
Described framing comprises the following steps：S31, from stitching image calculate first template area；S32, search first
Individual template；S33, from stitching image calculate second template area；S34, second template of search；S35, with reference templates
The center of center and the template searching calculates affine matrix；S36, framing terminate；
Described image correcting error comprises the following steps：S41, region conversion；S42, loading region；S43, carry out affine transformation；S44、
Judging whether that all regional processings finish, not finishing if processed, return step S42, if be disposed, image correcting error is tied
Bundle.
4. the positioning of display screen according to claim 1 is measured and defect inspection method, it is characterised in that described surface lacks
Sunken detection includes that dust and bubble detection, FPC ear spill detection, display screen breakage and crack detection, the detection of diaphragm off normal.
5. display screen according to claim 6 positioning measurement and defect inspection method, it is characterised in that described dust and
Bubble detection comprises the following steps：S51, Load Image and detect region；S52, Threshold segmentation obtain silver slurry region；S53, determination
Dust to be searched and the region of bubble；S54 then carries out, if dust detects, the image smoothing that threshold value is 11 × 11, if
Bubble detection then carries out the image smoothing that threshold value is 121 × 121；S55 is if dust detection then carries out the image that threshold value is 30
Ask poor, if bubble detection then carries out the image that threshold value is 3 and asks poor, be then peeled off background；S56, BLOB analyze；S57, defect
Filter；S58, defect are integrated；S59, dust and bubble detection terminate.
6. the positioning of display screen according to claim 6 is measured and defect inspection method, it is characterised in that described FPC ear
Piece spilling detection comprises the following steps：S61, Load Image and detect region；S62, Canny seek contour images；S63, from upper past
Under look for qualified straight line；S64, generation detection region；S65, Threshold segmentation obtain defect；S66, BLOB analyze；S67, lack
Fall into and filter；S68, FPC ear spills detection to be terminated.
7. the positioning of display screen according to claim 6 is measured and defect inspection method, it is characterised in that described display screen
Damaged and crack detection comprises the following steps：S71, Load Image and detect region；S72, the border area generating glass and film；
S73, carry out the row that row that threshold value is 1 × 21 is smooth and threshold value is 21 × 1 respectively and smooth；S74, Threshold segmentation obtain defect；
S75, BLOB analyze；S76, defect filter；S77, defect are integrated；S78, display screen are damaged and crack detection terminates.
8. the positioning of display screen according to claim 6 is measured and defect inspection method, it is characterised in that described diaphragm
Off normal detection comprises the following steps：S81, Load Image and detect region；S82, Canny seek contour images；S83, obtain straight line；
S84, straight line is ranked up, obtains diaphragm；S85, the relative position according to diaphragm, reduce detection region；S86, obtain
Straight line；S87, straight line is ranked up, obtains glass edge edge；S88, the distance to diaphragm to glass judge；S89, guarantor
The detection of cuticula off normal terminates.
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| CN108760767A (en) * | 2018-05-31 | 2018-11-06 | 电子科技大学 | Large-size LCD Screen defect inspection method based on machine vision |
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| CN109177138A (en) * | 2018-07-27 | 2019-01-11 | 深圳市德富强机器人有限公司 | A kind of alignment method and device of glass and diaphragm |
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| CN109177138B (en) * | 2018-07-27 | 2021-01-26 | 深圳市德富强机器人有限公司 | Method and device for aligning glass and membrane |
| CN109100363A (en) * | 2018-08-31 | 2018-12-28 | 凌云光技术集团有限责任公司 | A kind of differentiating method and system being bonded foreign matter defect and dust |
| CN109100363B (en) * | 2018-08-31 | 2021-10-29 | 凌云光技术股份有限公司 | Method and system for distinguishing defects of attached foreign matters from dust |
| CN109765245A (en) * | 2019-02-25 | 2019-05-17 | 武汉精立电子技术有限公司 | Large scale display screen defects detection localization method |
| CN109765245B (en) * | 2019-02-25 | 2021-08-13 | 武汉精立电子技术有限公司 | Large-size display screen defect detection and positioning method |
| CN115598062A (en) * | 2022-09-29 | 2023-01-13 | 苏州天准科技股份有限公司（Cn） | Detection device for 3C product |
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