CN104749801B - High Precision Automatic optical detecting method and system - Google Patents
High Precision Automatic optical detecting method and system Download PDFInfo
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- CN104749801B CN104749801B CN201310754700.5A CN201310754700A CN104749801B CN 104749801 B CN104749801 B CN 104749801B CN 201310754700 A CN201310754700 A CN 201310754700A CN 104749801 B CN104749801 B CN 104749801B
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- G—PHYSICS
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- G02F—OPTICAL DEVICES OR ARRANGEMENTS FOR THE CONTROL OF LIGHT BY MODIFICATION OF THE OPTICAL PROPERTIES OF THE MEDIA OF THE ELEMENTS INVOLVED THEREIN; NON-LINEAR OPTICS; FREQUENCY-CHANGING OF LIGHT; OPTICAL LOGIC ELEMENTS; OPTICAL ANALOGUE/DIGITAL CONVERTERS
- G02F1/00—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics
- G02F1/01—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour
- G02F1/13—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour based on liquid crystals, e.g. single liquid crystal display cells
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Abstract
The present invention relates to a kind of High Precision Automatic optical detecting method and systems.This method comprises: controlling multiple effective coverages shows the first pure color and the second pure color, and the pure color between adjacent effective coverage is different；Multiple area of visual field images are obtained, effective coverage image is extracted from each area of visual field image；By the pure color swap between adjacent effective coverage；Multiple area of visual field images after obtaining pure color swap, the effective coverage image after extracting pure color swap in each area of visual field image；Each effective coverage image is handled, identifies defect, records defective locations, and statistical shortcomings quantity；The defects of the liquid crystal display screen image under the first pure color display state and under the second pure color display state type is calculated, records defective locations, and statistical shortcomings quantity.It only needs to handle single effective coverage image every time, shooting precision is high, can accurately detect defect, improve the accuracy of detection.
Description
Technical field
The present invention relates to liquid crystal display detection fields, more particularly to a kind of High Precision Automatic optical detecting method and are
System.
Background technique
In recent years, due to LCD(Liquid Crystal Display, liquid crystal display) there is light, thin superperformance,
Therefore the overwhelming majority communication product (such as auto-navigation system, mobile phone), consumer electrical product (take the photograph by such as LCD TV
Shadow machine), in the fields such as instrument product and industrial automation product, all use LCD as control panel, application range is very wide
It is general.Since the entire technological process of production of LCD is long, and substrate size is increasing, and wire sizes are more and more accurate, therefore,
Need to carry out stringent quality control in the production process of LCD.Traditional LCD detection method mainly passes through artificial detection, by
In the subjective differences of people, many uncontrollable factors can be brought to quality testing.People is replaced using Machine Vision Inspecting System thus
Work operation, can eliminate the various drawbacks of artificial detection bring, can be improved the quality and efficiency of detection.
However, current Machine Vision Inspecting System carries out detection defect, entire liquid crystal display is detected, accuracy is not
Height, accuracy rate are lower.
Summary of the invention
Based on this, it is necessary to which not high for traditional High Precision Automatic optical detection accuracy, the low problem of accuracy rate mentions
For a kind of High Precision Automatic optical detecting method, the accuracy and accuracy of detection can be improved.
In addition, there is a need to provide a kind of High Precision Automatic Systems for optical inspection, the accuracy of detection and accurate can be improved
Degree.
A kind of High Precision Automatic optical detecting method, comprising:
It controls multiple effective coverages and shows the first pure color and the second pure color, and the pure face between adjacent effective coverage
Color is different, wherein entire liquid crystal display is divided into multiple effective coverages in advance；
Multiple area of visual field images are obtained, effective coverage image is extracted from each area of visual field image；
Each effective coverage image is handled, identifies defect, records defective locations, and statistical shortcomings quantity；
By the pure color swap between adjacent effective coverage；
Multiple area of visual field images after obtaining pure color swap, extract pure color swap from each area of visual field image
Effective coverage image afterwards；
Effective coverage image after each exchange is handled, identifies defect, records defective locations, and statistical shortcomings number
Amount；
The effective coverage image of the first pure color is shown before exchanging and the effective coverage of the first pure color is shown after exchanging
The liquid crystal display screen image under the first pure color display state is formed, and shows the effective coverage of the second pure color before exchanging
Show that the effective coverage of the second pure color forms the liquid crystal display screen image under the second pure color display state after image and exchange,
Calculate separately to obtain lacking in the liquid crystal display screen image under the first pure color display state and under the second pure color display state
Type is fallen into, defective locations, and statistical shortcomings quantity are recorded.
A kind of High Precision Automatic Systems for optical inspection, including display control module, acquisition module, processing module and synthesis mould
Block；
The display control module shows the first pure color and the second pure color for controlling multiple effective coverages, and adjacent
Effective coverage between pure color it is different, wherein entire liquid crystal display is divided into multiple effective coverages in advance；
The acquisition module extracts effective coverage from each area of visual field image for obtaining multiple area of visual field images
Image；
The processing module identifies defect, records defective locations, and unite for handling each effective coverage image
Count defects count；
The display control module is also used to the pure color swap between adjacent effective coverage；
The acquisition module is also used to obtain multiple area of visual field images after pure color swap, from each area of visual field figure
The effective coverage image after pure color swap is extracted as in；
The processing module is also used to handle the effective coverage image after each exchange, identifies defect, and record lacks
Fall into position, and statistical shortcomings quantity；
The synthesis module is used to before exchanging show the effective coverage image of the first pure color and shows first after exchanging
The effective coverage of pure color forms the liquid crystal display screen image under the first pure color display state, and shows second before exchanging
Show that the effective coverage of the second pure color is formed under the second pure color display state after the effective coverage image of pure color and exchange
Liquid crystal display screen image, calculate separately to obtain under the first pure color display state and the second pure color display state under liquid crystal
The defects of display image type records defective locations, and statistical shortcomings quantity.
Detected liquid crystal display is divided into multiple effective coverages by above-mentioned High Precision Automatic optical detecting method and system,
It only needs to handle single effective coverage image every time respectively, shooting precision is high, can accurately detect defect, improve detection
Accuracy, and single effective coverage image per treatment, calculation amount are low.
Detailed description of the invention
Fig. 1 is a kind of schematic diagram of implementation environment involved in High Precision Automatic optical detecting method；
Fig. 2 is the flow chart of High Precision Automatic optical detecting method in one embodiment；
Fig. 3 is the schematic diagram for being detected liquid crystal display in one embodiment and being divided into 12 parts；
Fig. 4 is the flow chart of High Precision Automatic optical detecting method in another embodiment；
Fig. 5 is the flow chart that entire liquid crystal display is divided into multiple effective coverages in one embodiment；
Fig. 6 is the specific flow chart of step 206 or step 212 in Fig. 2 in one embodiment；
Fig. 7 is the structural block diagram of High Precision Automatic Systems for optical inspection in one embodiment；
Fig. 8 is the internal structure block diagram of processing module in one embodiment；
Fig. 9 is the structural block diagram of High Precision Automatic Systems for optical inspection in another embodiment；
Figure 10 is the internal structure block diagram of division module in one embodiment.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
Fig. 1 is a kind of schematic diagram of implementation environment involved in High Precision Automatic optical detecting method.The implementation environment packet
Video camera 110 is included, light source 120, image pick-up card 130, computer 140, display 150, liquid crystal display 160 is detected and drives
Dynamic system 170.Wherein, computer 140 respectively with 160 phase of image pick-up card 130, display 150 and detected liquid crystal display
Even, video camera 110 is connected with image pick-up card 130, drive system 170 respectively with computer 140 and detected liquid crystal display
160 are connected.Computer 140, which controls, is detected the display image of liquid crystal display 160；It is mobile that drive system 170 controls video camera 110
Choose working region；Video camera 110 shoots the image for being detected the display of liquid crystal display 160 by camera lens (when display screen is lighted
The image of display) and light source 120 irradiation under be detected liquid crystal display 160 image (shown when display screen is not lighted
Image)；The image that image pick-up card 130 shoots video camera 110 is acquired, and is transferred to computer 140 and is carried out at analysis
Reason obtains defect type, defective locations and defects count, and by 150 display defect type of display, defective locations and defect number
Amount.The drive system 170 may include machinery mount, motor and telecontrol equipment.It is detected liquid crystal display 160 and is placed on drive system
On 170 machinery mount, the drive system 170 is mobile for actuated camera 110.
In order to improve the precision and stability of system, need to take defect area more than 3 to 4 pixels, because if
The corresponding detection defect of one pixel, then arbitrary interference pixel may all be mistaken as defect.In order to detect essence
Degree reaches RGB(Red-Green-Blue) subpixel accuracy, it need to guarantee that a complete point is fallen in R component, R sub-pixel is at least
2 pixels are needed to indicate, similarly G, B component are respectively necessary for 2 pixels also to indicate, entire point needs 6 pixels.It examines
Consider horizontal and vertical situation, a physical picture element point on liquid crystal display is indicated using 6*6 camera pixel point.It is right
In the liquid crystal display that physical resolution is 1920*1080,1920*1080=2073600 pixel is shared, then needs 1920*
The summation of pixel needed for the shooting of entire liquid crystal display is completed in 1080*(6*6) a camera pixel point expression, i.e. video camera
It is a for 1920*1080*(6*6).Herein only by taking physical resolution is 1920*1080 as an example, the resolution of other physics can also be detected
The display screen of rate, such as 1024*768 or 800*600.
According to 500W(ten thousand) video camera of pixel shoots (assuming that resolution ratio is: 2588*1940), it laterally needs to clap
1920*6/2588=5 time longitudinally need to clap 1080*6/1940=4 time.If with 4 this kind of video cameras along the longitudinal lay out in parallel of screen
Entire longitudinal to cover, entire panel can be covered by transversely clapping 5 times respectively then in conjunction with drive system control camera shooting unit.
In conclusion in the case where liquid crystal display physical resolution is constant, detection number and panel size size without
It closes.Number is constant, the bigger panel of size, and the visual field shot every time is bigger.So when detection panel change in size, only
The visual field of video camera shooting need to be adjusted.
Assuming that the visual angle of camera lens X-direction is β, the visual angle of Y-direction is α, video camera to the distance for being detected liquid crystal display
For d, X-direction visual field lx, Y-direction visual field ly, the relationship between them is as follows:
Camera lens X-direction visual field lx=2*d*tag (β/2)
Camera lens Y-direction visual field ly=2*d*tag (α/2)
It is learnt by above-mentioned relation formula, to change the visual field, only need to adjust camera to the spacing d between object to be checked.Simultaneously
Ly is also changing, so also needing the spacing between adjustment video camera and video camera.In order to avoid missing inspection screen region, video camera and camera shooting
Retain certain repetition area of visual field between machine.
After having detected, need to count detection defect, due to each defect very little, only 0.06 millimeter or smaller.
For the ease of the statistical shortcomings quantity of precision, using domain division method statistical shortcomings quantity.
Fig. 2 is the flow chart of High Precision Automatic optical detecting method in one embodiment.The High Precision Automatic optical detection
Method can be applied to the experimental situation in Fig. 1.The High Precision Automatic optical detecting method, comprising:
Step 202, multiple effective coverages are controlled and show the first pure color and the second pure color, and adjacent effective coverage it
Between pure color it is different, wherein entire liquid crystal display is divided into multiple effective coverages in advance.
Wherein, the first pure color and the second pure color can be selected as needed, and such as the first pure color is white, the second pure face
Color is black；Alternatively, the first pure color is red, the second pure color is green；Or first pure color be red, the second pure face
Color is blue；First pure color is green, and the second pure color is blue etc..Entire liquid crystal display can be divided into more in advance
A effective coverage, the side that non-equal part can also be used are divided into multiple effective coverages, to meet effective coverage in the case where non-equal part
It is necessarily less than area of visual field.
As shown in figure 3, being detected liquid crystal display 300 is divided into 12 effective coverages 310,320 size of area of visual field etc.
In the sum of 330 size of inactive area of 310 size of effective coverage and 310 surrounding of effective coverage.Area of visual field is camera institute
The region of shooting.Inactive area refers to what its X-direction and Y-direction an order of magnitude at least higher than video camera displacement accuracy were formed
Region.
The phase for being detected and carrying out the first pure color and the second pure color on liquid crystal display 160 is controlled by computer 140
Between show.
Step 204, multiple area of visual field images are obtained, effective coverage image is extracted from each area of visual field image.
The distance between video camera and detected liquid crystal display are adjusted first, so that each camera coverage repeat region
Equal to inactive area size, each area of visual field figure is then obtained by video camera 110 and the cooperation of image pick-up card 130 respectively again
Picture extracts effective coverage image, effective coverage image, that is, area of visual field image monolith area broad in the middle from area of visual field image
Domain.
Effective coverage method is extracted, including (1) is to (6), as follows:
(1) image center is taken；
(2) central point RGB component is calculated；
(3) principal component is determined；
For example, determining that R component is principal component, then subsequent removal G component and B component.
(4) other components are removed；
(5) connected region is calculated；
(6) taking intermediate larger connected region is effective coverage.
Step 206, each effective coverage image is handled, identifies defect, record defective locations, and statistical shortcomings number
Amount.
Specifically, the defect includes bright spot, dim spot, bright line, concealed wire etc..
Step 208, by the pure color swap between adjacent effective coverage.
Specifically, changing the effective coverage of the first pure color of previous display into display the second pure color, second is previously shown
The effective coverage of pure color changes the first pure color of display into.For example, the first pure color is red, the second pure color is blue, first
Between adjacent effective coverage is set as red blue phase, then by red blue color swap.
Step 210, multiple area of visual field images after obtaining pure color swap, are extracted pure from each area of visual field image
Effective coverage image after color swap.
Step 212, the effective coverage image after each exchange is handled, identifies defect, record defective locations, and unite
Count defects count.
Step 214, the first pure color will be shown after the effective coverage image of the first pure color of display and exchange before exchanging
Effective coverage forms the liquid crystal display screen image under the first pure color display state, and shows the second pure color before exchanging
Show that the effective coverage of the second pure color forms the liquid crystal under the second pure color display state after effective coverage image and exchange
Display screen image calculates separately to obtain the liquid crystal display figure under the first pure color display state and under the second pure color display state
The defects of picture type records defective locations, and statistical shortcomings quantity.
Detected liquid crystal display is divided into multiple effective coverages, respectively often by above-mentioned High Precision Automatic optical detecting method
Secondary only to need to handle single effective coverage image, shooting precision is high, can accurately detect defect, improve the accurate of detection
Degree, and single effective coverage image per treatment, calculation amount are low.
Fig. 4 is the flow chart of High Precision Automatic optical detecting method in another embodiment.In conjunction with Fig. 1, Fig. 3 and Fig. 4 institute
Show, the High Precision Automatic optical detecting method, comprising:
Step 402, entire liquid crystal display is divided into multiple effective coverages.
Step 404, multiple effective coverages are controlled and show the first pure color and the second pure color, and adjacent effective coverage it
Between pure color it is different.
Step 406, multiple area of visual field images are obtained, effective coverage image is extracted from each area of visual field image.
Step 408, each effective coverage image is handled, identifies defect, record defective locations, and statistical shortcomings number
Amount.
Step 410, by the pure color swap between adjacent effective coverage.
Step 412, multiple area of visual field images after obtaining pure color swap, are extracted pure from each area of visual field image
Effective coverage image after color swap.
Step 414, the effective coverage image after each exchange is handled, identifies defect, record defective locations, and unite
Count defects count.
Step 416, the first pure color will be shown after the effective coverage image of the first pure color of display and exchange before exchanging
Effective coverage forms the liquid crystal display screen image under the first pure color display state, and shows the second pure color before exchanging
Show that the effective coverage of the second pure color forms the liquid crystal under the second pure color display state after effective coverage image and exchange
Display screen image calculates separately to obtain the liquid crystal display figure under the first pure color display state and under the second pure color display state
The defects of picture type records defective locations, and statistical shortcomings quantity.
Detected liquid crystal display is divided into multiple effective coverages, respectively often by above-mentioned High Precision Automatic optical detecting method
Secondary only to need to handle single effective coverage image, shooting precision is high, can accurately detect defect, improve the accurate of detection
Degree, and single effective coverage image per treatment, calculation amount are low.
Fig. 5 is the flow chart that entire liquid crystal display is divided into multiple effective coverages in one embodiment.Such as Fig. 3 and figure
Shown in 5, entire liquid crystal display is divided into multiple effective coverages, comprising:
Step 502, it is used according to the physical resolution of detected liquid crystal display and needed for indicating each physical picture element point
Preset camera pixel points calculate needed for total pixel.
Specifically, the preset camera pixel points used needed for indicating each physical picture element point can carry out as needed
Setting such as can indicate a physical picture element point for 3*3,4*4,6*6,8*8 or 9*9 camera pixel points, if
3*3 is a or 4*4 is a, and each field range is big, but detection accuracy may not enough, if 8*8 or 9*9 a, each visual field models
Enclose small, then testing time is more.Preferably indicate that the preset camera pixel used needed for each physical picture element point is counted as 6*
6, precision can reach RGB sub-pixel-level, and it is moderate to detect number.
Total=detected liquid crystal display X-direction resolution ratio * 6 of total pixel X of video camera imaging X-direction
Total=detected liquid crystal display Y-direction resolution ratio * 6 of total pixel Y of video camera imaging Y-direction
Step 504, the detected liquid crystal display pixel that each video camera can be shot is calculated according to resolution of video camera
Point number.
Such as assume that resolution of video camera is ResX*ResY, then
Area of visual field X-direction is detected liquid crystal display physical picture element point number nX=ResX/6, area of visual field Y-direction quilt
Detect liquid crystal display physical picture element point number nY=ResY/6.
Step 506, each camera coverage area size is calculated.
Assuming that being detected liquid crystal display pixel size is xx millimeters yy millimeters of *, pixel size refers to two neighboring
Lateral distance * fore-and-aft distance between pixel.
Area of visual field is having a size of nSizeX*nSizeY.NSizeX=nX*xx millimeters, nSizeY=nY*yy millimeters.
Step 508, according to area of visual field size and video camera displacement accuracy, effective coverage size is calculated.
Effective coverage size X=area of visual field X- inactive area X*2；
Effective coverage size Y=area of visual field Y- inactive area Y*2.The inactive area X and the inactive area Y compare
At least high an order of magnitude of video camera displacement accuracy.
Step 510, the entire liquid crystal display that is detected is divided according to effective coverage size.
Effective coverage size is determined by the physical picture element of video camera precision and detected liquid crystal display, it can be more accurately
It determines effective coverage size, improves detection accuracy and accuracy.
Fig. 6 is the specific flow chart of step 206 or step 212 in Fig. 2 in one embodiment.Step 206 or step 212 tool
Body includes:
Step 602, the effective coverage image that will acquire switchs to pre-set image format.
In the present embodiment, by video camera 110 and the liquid crystal display screen image of the cooperation acquisition of image pick-up card 130 by taking the photograph
The integrated image processing software of camera 110 itself is processed into the data structure of specific format, and image information can in the data structure
Through overcompression or it can be converted to image data structure, for this reason, it may be necessary to which the acquisition liquid crystal display screen image is converted to computer can
The pre-set image format of processing.The pre-set image format can be the picture formats such as bmp, gif.
Step 604, the effective coverage image that will turn into pre-set image format is pre-processed.
The pretreatment includes to image denoising and filtering processing.Denoising can remove Gaussian noise, salt-pepper noise etc..Filter
Wave processing can be used 1 × 8 template and carry out longitudinal mean filter, further remove noise.The matter of image is improved by pre-processing
Amount.
Step 606, pretreated effective coverage image is subjected to Threshold segmentation, wiping out background information extracts effective district
Image information in area image.
Because application environment is uncertain, automatic threshold segmentation can be used.Automatic threshold segmentation is based on grey level histogram, analysis
The characteristic of image information and background information in grey level histogram, takes the trough between two wave crests as segmentation threshold, thus
To threshold value.In the present embodiment, liquid crystal display screen image is converted into grey level histogram, analyze in grey level histogram image information and
The characteristic of background information takes the trough between two wave crests as segmentation threshold, is split by the segmentation threshold, filters out back
Scape information extracts image information.
Step 608, enhancing processing is carried out to the image information.
Because image information is weaker, by Morphological scale-space image information is enhanced.
Step 610, image deflects are extracted from enhancing treated the image information, image deflects is subjected to image segmentation
Obtain defect block.
Pass through RGB(Red-Green-Blue) component threshold value, image deflects are extracted from image information, the RGB component threshold
Value is obtained according to mass data experiment statistics.According to the connectivity of image, image deflects are divided into multiple defect blocks.It is divided into
After defect block, in image recognition processes, the information of each defect block need to be only calculated, the operation of image procossing is greatly reduced
Amount, saves the time overhead of defect recognition.
Step 612, it identifies defect type in the defect block, records defective locations, and statistical shortcomings quantity.
Specifically, pre-establishing defect characteristic database, the feature of every class defect is recorded in the defect characteristic database.
The defect that will test and the feature recorded in defect characteristic database compare, and identify the type of the defect of the detection.
By the processing such as being converted to the image of acquisition, pre-processing, enhance, divide, the quality of image is improved, is reduced
The calculation amount of image recognition.
Fig. 7 is the structural block diagram of High Precision Automatic Systems for optical inspection in one embodiment.The present embodiment with high precision from
Dynamic Systems for optical inspection is applied to experimental situation shown in FIG. 1 and is illustrated.The High Precision Automatic Systems for optical inspection, including it is aobvious
Show control module 720, acquisition module 740, processing module 760 and synthesis module 780.Wherein:
Display control module 720 shows the first pure color and the second pure color for controlling multiple effective coverages, and adjacent
Effective coverage between pure color it is different, wherein entire liquid crystal display is divided into multiple effective coverages in advance.Entire liquid crystal
Display screen can be divided into multiple effective coverages in advance, and the side that non-equal part can also be used is divided into multiple effective coverages, non-equal part
In the case where to meet effective coverage and be necessarily less than area of visual field.
Wherein, the first pure color and the second pure color can be selected as needed, and such as the first pure color is white, the second pure face
Color is black；Alternatively, the first pure color is red, the second pure color is green；Or first pure color be red, the second pure face
Color is blue；First pure color is green, and the second pure color is blue etc..
Acquisition module 740 extracts effective coverage from each area of visual field image for obtaining multiple area of visual field images
Image.
Specifically, the defect includes bright spot, dim spot, bright line, concealed wire etc..
Processing module 760 identifies defect, records defective locations, and unite for handling each effective coverage image
Count defects count.
Display control module 720 is also used to the pure color swap between adjacent effective coverage.
Acquisition module 740 is also used to obtain multiple area of visual field images after pure color swap, from each area of visual field figure
The effective coverage image after pure color swap is extracted as in.
Processing module 760 is also used to handle the effective coverage image after each exchange, identifies defect, records defect
Position, and statistical shortcomings quantity.
The effective coverage image of the first pure color of display and display first after exchange are pure before synthesis module 780 is used to exchange
The effective coverage of color forms the liquid crystal display screen image under the first pure color display state, and shows that second is pure before exchanging
Show that the effective coverage of the second pure color is formed under the second pure color display state after the effective coverage image of color and exchange
Liquid crystal display screen image calculates separately to obtain the liquid crystal under the first pure color display state and under the second pure color display state
The defects of display screen image type records defective locations, and statistical shortcomings quantity.
Detected liquid crystal display is divided into multiple effective coverages, respectively often by above-mentioned High Precision Automatic Systems for optical inspection
Secondary only to need to handle single effective coverage image, shooting precision is high, can accurately detect defect, improve the accurate of detection
Degree, and single effective coverage image per treatment, calculation amount are low.
Fig. 8 is the internal structure block diagram of processing module in one embodiment.The processing module 740 includes format conversion unit
741, pretreatment unit 742, Threshold segmentation unit 743, image enhancing unit 744, image segmentation unit 745 and identification record list
Member 746.
The liquid crystal display screen image that format conversion unit 741 is used to will acquire switchs to pre-set image format.The pre-set image
Format can be the picture formats such as bmp, gif.
The liquid crystal display screen image that pretreatment unit 742 is used to will turn into pre-set image format is pre-processed.
The pretreatment includes to image denoising and filtering processing.Denoising can remove Gaussian noise, salt-pepper noise etc..Filter
Wave processing can be used 1 × 8 template and carry out longitudinal mean filter, further remove noise.The matter of image is improved by pre-processing
Amount.
Threshold segmentation unit 743 is used to carry out pretreated liquid crystal display screen image Threshold segmentation, wiping out background letter
Breath extracts image information in liquid crystal display image.
Because application environment is uncertain, automatic threshold segmentation can be used.Automatic threshold segmentation is based on grey level histogram, analysis
The characteristic of image information and background information in grey level histogram, takes the trough between two wave crests as segmentation threshold, thus
To threshold value.In the present embodiment, liquid crystal display screen image is converted into grey level histogram, analyze in grey level histogram image information and
The characteristic of background information takes the trough between two wave crests as segmentation threshold, is split by the segmentation threshold, filters out back
Scape information extracts image information.
Image enhancing unit 744 is for carrying out enhancing processing to the image information.Because image information is weaker, pass through morphology
Processing is so that image information enhances.
Image segmentation unit 745 is used to extract image deflects from enhancing treated the image information, by image deflects
It carries out image segmentation and obtains defect block.
Pass through RGB(Red-Green-Blue) component threshold value, image deflects are extracted from image information, the RGB component threshold
Value is obtained according to mass data experiment statistics.According to the connectivity of image, image deflects are divided into multiple defect blocks.It is divided into
After defect block, in image recognition processes, the information of each defect block need to be only calculated, the operation of image procossing is greatly reduced
Amount, saves the time overhead of defect recognition.
Identification record unit 746 identifies defect type in the defect block, records defective locations, and statistical shortcomings quantity.
Specifically, pre-establishing defect characteristic database, the feature of every class defect is recorded in the defect characteristic database.
The defect that will test and the feature recorded in defect characteristic database compare, and identify the type of the defect of the detection.
By the processing such as being converted to the image of acquisition, pre-processing, enhance, divide, the quality of image is improved, is reduced
The calculation amount of image recognition.
Fig. 9 is the structural block diagram of High Precision Automatic Systems for optical inspection in another embodiment.The present embodiment is with high precision
Automatic optical detecting system is applied to experimental situation shown in FIG. 1 and is illustrated.The High Precision Automatic Systems for optical inspection, in addition to
It further include division module 710 including display control module 720, acquisition module 740, processing module 760 and synthesis module 780.Its
In: division module 710 is for being divided into multiple effective coverages for entire liquid crystal display in advance.Entire liquid crystal display can quilt in advance
Multiple effective coverages are divided into, the side that non-equal part can also be used is divided into multiple effective coverages, to meet in the case where non-equal part
Effective coverage is necessarily less than area of visual field.
Figure 10 is the internal structure block diagram of division module in one embodiment.The division module 710 includes total pixel meter
Calculate unit 711, pixel number computing unit 712, area of visual field dimension calculating unit 713, effective coverage dimension calculating unit
714 and division unit 715.
Total pixel computing unit 711 is detected the physical resolution of liquid crystal display for basis and indicates each physics
The preset camera pixel points used needed for pixel calculate required total pixel.
Specifically, the preset camera pixel points used needed for indicating each physical picture element point can carry out as needed
Setting such as can indicate a physical picture element point for 3*3,4*4,6*6,8*8 or 9*9 camera pixel points, if
3*3 is a or 4*4 is a, and each field range is big, but detection accuracy may not enough, if 8*8 or 9*9 a, each visual field models
Enclose small, then testing time is more.Preferably 6*6, precision can reach RGB sub-pixel-level, and it is moderate to detect number.
Total=detected liquid crystal display X-direction resolution ratio * 6 of total pixel X of video camera imaging X-direction
Total=detected liquid crystal display Y-direction resolution ratio * 6 of total pixel Y of video camera imaging Y-direction
Pixel number computing unit 712 is used to calculate that each video camera can shoot is detected according to resolution of video camera
Survey liquid crystal display pixel number.
Such as assume that resolution of video camera is ResX*ResY, then
Area of visual field X-direction is detected liquid crystal display physical picture element point number nX=ResX/6, area of visual field Y-direction quilt
Detect liquid crystal display physical picture element point number nY=ResY/6.
Area of visual field dimension calculating unit 713 is for calculating each camera coverage area size.
Assuming that being detected liquid crystal display pixel size is xx millimeters yy millimeters of *, pixel size refers to two neighboring
Lateral distance * fore-and-aft distance between pixel.
Area of visual field is having a size of nSizeX*nSizeY.NSizeX=nX*xx millimeters, nSizeY=nY*yy millimeters.
Effective coverage dimension calculating unit 714 is used to be calculated effective according to area of visual field size and video camera displacement accuracy
Area size.
Effective coverage size X=area of visual field X- inactive area X；
Effective coverage size Y=area of visual field Y- inactive area Y.
The inactive area X and inactive area Y an order of magnitude at least higher than video camera displacement accuracy.
Division unit 715 divides the entire liquid crystal display that is detected according to effective coverage size.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously
Limitations on the scope of the patent of the present invention therefore cannot be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to guarantor of the invention
Protect range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.
Claims (8)
1. a kind of High Precision Automatic optical detecting method, comprising:
It controls multiple effective coverages and shows the first pure color and the second pure color, and the pure color between adjacent effective coverage is not
Together, wherein entire liquid crystal display is divided into multiple effective coverages in advance；
Multiple area of visual field images are obtained, effective coverage image is extracted from each area of visual field image；
Each effective coverage image is handled, identifies defect, records defective locations, and statistical shortcomings quantity；
By the pure color swap between adjacent effective coverage；
Multiple area of visual field images after obtaining pure color swap, after extracting pure color swap in each area of visual field image
Effective coverage image；
Effective coverage image after each exchange is handled, identifies defect, records defective locations, and statistical shortcomings quantity；
Show that the effective coverage of the first pure color is formed after the effective coverage image of the first pure color of display and exchange before exchanging
Liquid crystal display screen image under first pure color display state, and the effective coverage image of the second pure color is shown before exchanging
The liquid crystal display screen image under the second pure color display state is formed with the effective coverage of the second pure color of display after exchange, respectively
The defects of the liquid crystal display screen image under the first pure color display state and under the second pure color display state class is calculated
Type records defective locations, and statistical shortcomings quantity.
2. High Precision Automatic optical detecting method according to claim 1, which is characterized in that described to each effective coverage
Image is handled, and identifies defect, records defective locations, and statistical shortcomings quantity, or to the effective coverage after each exchange
Image is handled, and identifies defect, records defective locations, and the step of statistical shortcomings quantity includes:
The effective coverage image that will acquire switchs to pre-set image format；
The effective coverage image that will turn into pre-set image format is pre-processed；
Pretreated effective coverage image is subjected to Threshold segmentation, wiping out background information extracts image in the image of effective coverage
Information；
Enhancing processing is carried out to described image information；
Image deflects are extracted from enhancing treated described image information, image deflects progress image segmentation is obtained into defect
Block；
It identifies defect type in the defect block, records defective locations, and statistical shortcomings quantity.
3. High Precision Automatic optical detecting method according to claim 1, which is characterized in that described preparatory by entire liquid crystal
Display screen is divided into the step of multiple effective coverages and includes:
The preset camera shooting used according to the physical resolution of detected liquid crystal display and needed for indicating each physical picture element point
Machine pixel number calculates required total pixel；
The detected liquid crystal display pixel number that each video camera can be shot is calculated according to resolution of video camera；
Calculate each camera coverage area size；
According to area of visual field size and telecontrol equipment precision, effective coverage size is calculated；
The entire liquid crystal display that is detected is divided according to effective coverage size.
4. High Precision Automatic optical detecting method according to claim 3, which is characterized in that described to indicate each physics picture
The preset camera pixel points used needed for vegetarian refreshments is 6*6.
5. a kind of High Precision Automatic Systems for optical inspection, which is characterized in that including display control module, acquisition module, processing mould
Block and synthesis module；
The display control module shows the first pure color and the second pure color for controlling multiple effective coverages, and adjacent has
The pure color imitated between region is different, wherein entire liquid crystal display is divided into multiple effective coverages in advance；
The acquisition module extracts effective coverage figure for obtaining multiple area of visual field images from each area of visual field image
Picture；
The processing module identifies defect, records defective locations, and count and lack for handling each effective coverage image
Fall into quantity；
The display control module is also used to the pure color swap between adjacent effective coverage；
The acquisition module is also used to obtain multiple area of visual field images after pure color swap, from each area of visual field image
Effective coverage image after extracting pure color swap；
The processing module is also used to handle the effective coverage image after each exchange, identifies defect, records defective bit
It sets, and statistical shortcomings quantity；
The first pure face is shown after the effective coverage image of the first pure color of display and exchange before the synthesis module is used to exchange
The effective coverage of color forms the liquid crystal display screen image under the first pure color display state, and shows the second pure face before exchanging
Show that the effective coverage of the second pure color forms the liquid under the second pure color display state after the effective coverage image of color and exchange
Crystal display screen image calculates separately to obtain the liquid crystal display under the first pure color display state and under the second pure color display state
The defects of screen image type records defective locations, and statistical shortcomings quantity.
6. High Precision Automatic Systems for optical inspection according to claim 5, which is characterized in that the processing module includes:
Format conversion unit, the liquid crystal display screen image for will acquire switch to pre-set image format；
Pretreatment unit, the liquid crystal display screen image for will turn into pre-set image format are pre-processed；
Threshold segmentation unit, for pretreated liquid crystal display screen image to be carried out Threshold segmentation, wiping out background information is extracted
Image information in liquid crystal display screen image；
Image enhancing unit, for carrying out enhancing processing to described image information；
Image segmentation unit carries out image deflects for extracting image deflects from enhancing treated described image information
Image segmentation obtains defect block；And
Identification record unit, defect type in the defect block, records defective locations, and statistical shortcomings quantity for identification.
7. High Precision Automatic Systems for optical inspection according to claim 6, which is characterized in that the system also includes divisions
Module, the division module include:
Total pixel computing unit, for according to the physical resolution and each physical picture element point of expression for being detected liquid crystal display
The preset camera pixel points of required use calculate required total pixel；
Pixel number computing unit, for calculating the detected liquid crystal that each video camera can be shot according to resolution of video camera
Pixels of display screen number；
Area of visual field dimension calculating unit, for calculating each camera coverage area size；
Effective coverage dimension calculating unit, for calculating effective coverage ruler according to area of visual field size and video camera displacement accuracy
It is very little；
Division unit, for being divided according to effective coverage size to the entire liquid crystal display that is detected.
8. High Precision Automatic Systems for optical inspection according to claim 7, which is characterized in that described to indicate each physics picture
The preset camera pixel points used needed for vegetarian refreshments is 6*6.
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| CN108072443A (en) * | 2018-01-26 | 2018-05-25 | 上海康斐信息技术有限公司 | A kind of Weight-detecting device test method and system |
| CN109445134A (en) * | 2018-11-28 | 2019-03-08 | 深圳同兴达科技股份有限公司 | A kind of system and method for auto-measuring liquid crystal display die set optical data |
| CN110796974A (en) * | 2019-11-01 | 2020-02-14 | 深圳同兴达科技股份有限公司 | Display screen detection method |
| CN112394064B (en) * | 2020-10-22 | 2021-10-29 | 高视科技(苏州)有限公司 | Point-line measuring method for screen defect detection |
| CN114279683A (en) * | 2021-11-22 | 2022-04-05 | 浙江大华技术股份有限公司 | Automatic detection platform for display screen, method thereof and LED display screen |
| CN114114734A (en) * | 2021-12-06 | 2022-03-01 | 苏州华兴源创科技股份有限公司 | Screen layering detection method, device, equipment, storage medium and system |
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