CN107155058A - Object automatic correction method and automatic correction detection device thereof - Google Patents
Object automatic correction method and automatic correction detection device thereof Download PDFInfo
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- CN107155058A CN107155058A CN201610597071.3A CN201610597071A CN107155058A CN 107155058 A CN107155058 A CN 107155058A CN 201610597071 A CN201610597071 A CN 201610597071A CN 107155058 A CN107155058 A CN 107155058A
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- 238000012937 correction Methods 0.000 title claims abstract description 82
- 238000001514 detection method Methods 0.000 title claims abstract description 42
- 238000000034 method Methods 0.000 title claims abstract description 42
- 238000006073 displacement reaction Methods 0.000 claims description 46
- 238000012545 processing Methods 0.000 claims description 40
- 239000000571 coke Substances 0.000 claims description 22
- 238000005070 sampling Methods 0.000 claims description 4
- 230000004927 fusion Effects 0.000 claims description 3
- 238000007664 blowing Methods 0.000 claims 1
- 230000003287 optical effect Effects 0.000 abstract description 8
- 238000010586 diagram Methods 0.000 description 9
- 238000012417 linear regression Methods 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/67—Focus control based on electronic image sensor signals
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
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Abstract
The invention discloses an object automatic correction method and an automatic correction detection device thereof. The method comprises the following steps: acquiring an object to be detected by using a camera unit to generate a plurality of images; carrying out coarse adjustment in the X-axis direction and the Y-axis direction by utilizing the focusing range of the camera unit; forming an imaginary line according to the characteristics of the objects to be measured arranged along the Y axis, and rotating the Z axis angle of the camera unit according to the inclination of the imaginary line deviating from the Y axis; obtaining a first size difference trend according to the characteristics in the Y-axis direction, and rotating the X-axis angle of the camera unit according to the first size difference trend; obtaining a second size difference trend according to the characteristics in the X axial direction, and rotating the Y axial direction angle of the camera shooting unit according to the second size difference trend; and adjusting the focal length of the camera unit to make the number of the plurality of characteristics of the object to be detected and the photosensitive assembly of the camera unit accord with the image value. The invention can quickly align the object to be detected with the camera unit, thereby performing applications such as optical detection.
Description
Technical field
The present invention is the object auto-correction method and its automatic correction detection dress on a kind of application automatic optics inspection
Put.
Background technology
In the optical detection of existing display panel, the big advanced row corrective action of pogoniasis, so that display panel is right against
The image unit of optical detection, thus to exclude institute's issuable moire fringes when display panel is not right against image unit
(Moir é pattern), if its reason is to be likely to result in display surface when image acquired during image unit produces moire fringes
The misinterpretation of plate.
In existing above-mentioned corrective action, carried out mostly using artificial mode.For example, first display panel is fixed on
On workbench, and image acquired during through display unit viewing image unit, then the tune according to artificial judgment mode manually
The position of whole image unit.Such a mode artificially corrected must often spend the time of many to carry out.Further, since being artificial
Judgement correction, therefore different correction personnel are carried out, its result corrected out is also differed, so as to generate calibration standard
Reproducibility problems.In addition, must also spend time and the people of many for turning out the correction that can be suitably a corrected personnel
Power.
Described before taking a broad view of, the present invention devises a kind of object auto-correction method and its corrects detection means automatically, with pin
Missing to prior art is improved, and then the implementation in enhancement industry is utilized.
The content of the invention
In view of above-mentioned problem of the prior art, the purpose of the present invention is exactly to be to provide a kind of object auto-correction method
And its detection means is corrected automatically, the problem that to improve above-mentioned prior art.
According to the purpose of the present invention there is provided a kind of object auto-correction method, with applied to image unit in alignment with to be measured
Object, it is comprised the steps of：Obtained using image unit and be fixed on the object to be measured of workbench to obtain multiple images；Make to take the photograph
Image unit is made to coke number in X axis with local to coke number as unit is focused in object to be measured, and according to overall in image
And Y-axis displacement, make to be in parallel alignment between the photosensory assembly of image unit and object to be measured；According to object along Y-axis
Multiple features of arrangement to form imaginary line, and according to the gradient that imaginary line deviates Y-axis rotate the Z axis of image unit to angle
Degree, so that gradient levels off to 0；The multiple features arranged according to object along Y-axis are with the first size of the multiple features obtained
Difference trend, and the angle of the X axis according to first size difference trend rotation image unit, so that first size difference trend
Level off to 0；The multiple features arranged according to object along X axis with the second size difference trend of the multiple features obtained, and according to
The angle of the Y-axis of image unit is rotated according to the second size difference trend, so that the second size difference trend levels off to 0；And
The focal length of image unit is adjusted, makes quantity and the sense of the image unit of the object to be measured along X-axis and multiple features of Y-axis arrangement
Optical assembly meets image (Mapping) value.
Preferably, image unit is made to coke number in X axis and Y-axis position with local to coke number according to overall in image
Move, further comprise the steps of：So that overall in image level off to 0 to coke number and the local difference to coke number, and then
Object to be measured is all in the range of the focus of image unit in image.
Preferably, it is described make that image unit focuses the step of object to be measured rear can further comprise the steps of：Adjust
The focal length of whole image unit simultaneously makes image unit in Z axis displacement, with spot sampling's object to be measured, and makes along X-axis and Y-axis arrangement
The quantity of multiple features and the photosensory assembly of image unit meet image value scope, and then make the photosensory assembly of image unit with
Object to be measured is aligned on XY quadrants.
According to the purpose of the present invention, separately provide a kind of object auto-correction method, with applied to image unit in alignment with treating
Object is surveyed, it is comprised the steps of：Obtained using image unit and be fixed on the object to be measured of workbench to obtain multiple images；Root
The multiple features arranged according to object to be measured along Y-axis are taken the photograph with forming imaginary line, and being rotated according to the gradient that imaginary line deviates Y-axis
As unit Z axis to angle so that gradient levels off to 0；The multiple features arranged according to object to be measured along Y-axis are to obtain
Multiple features first size difference trend, and according to first size difference trend rotate image unit X-axis angle, with
First size difference trend is set to level off to 0；And multiple spies of the multiple features arranged according to object to be measured along X axis to obtain
The the second size difference trend levied, and the angle of the Y-axis according to the second size difference trend rotation image unit, so that the second chi
Very little difference trend levels off to 0.
Preferably, it can further comprise the steps of：When judging that gradient is more than 0, control image unit is along Z axis to along inverse
Clockwise is rotated；Or, when judging that gradient is less than 0, control image unit is along Z axis to being rotated in the clockwise direction.
Preferably, it can further comprise the steps of：Judge first size difference trend for multiple features in picture under
Supreme when becoming larger, control image unit is rotated in the clockwise direction along X-axis；Or, judge that first size difference trend is many
Individual feature in picture under it is supreme when tapering into, control image unit is rotated in the counterclockwise direction along X axis.
Preferably, it can further comprise the steps of：Judge the second size difference trend for multiple features in picture it is left
When being become larger to the right side, control image unit is rotated in the clockwise direction along Y-axis；Or, judge that the second size difference trend is many
Individual feature is when left-to-right is tapered into picture, and control image unit is rotated in the counterclockwise direction along Y-axis.
According to the purpose of the present invention, then a kind of automatic correction detection means is provided, with applied to detection display panel.Automatically
Correct detection means and include workbench, image unit, displacement module and processing module.Wherein, workbench configuration is with fixed aobvious
Show panel.Image unit is set relative to display panel, and multiple images are obtained to obtain display panel.Displacement module connection is taken the photograph
As unit, to drive image unit respectively along X, Y, Z axis to moving or rotate.Processing module connects image unit and displacement
Module；Processing module picks out multiple features that display panel arranges along Y-axis to form imaginary line in multiple images, and according to
The gradient for deviateing Y-axis according to imaginary line rotate the Z axis of image unit to angle so that gradient levels off to 0；Processing module is distinguished
Know and multiple features that display panel arranges along Y-axis with the first size difference trend of the multiple features obtained, and according to
One size difference trend rotates the angle of the X-axis of image unit, so that first size difference trend levels off to 0；Processing module is distinguished
Know and multiple features that display panel arranges along X axis with the second size difference trend of the multiple features obtained, and according to
Two size difference trend rotate the angle of the Y-axis of image unit, so that the second size difference trend levels off to 0.
Preferably, processing module judges that control displacement module makes image unit along Z axis to along counterclockwise when gradient is more than 0
Direction is rotated, and judges that control displacement module makes image unit along Z axis to being rotated in the clockwise direction when the gradient is less than 0.
Preferably, processing module judge first size difference trend for multiple features in picture under it is supreme become larger when
Command displacement module makes image unit be rotated in the clockwise direction along X-axis, and judges first size difference trend for multiple features
Supreme control displacement module when tapering into makes image unit be rotated in the counterclockwise direction along X axis under in picture.
Preferably, processing module judge the second size difference trend for multiple features left-to-right becomes larger in picture when
Command displacement module makes image unit be rotated in the clockwise direction along Y-axis, and judges the second size difference trend for multiple features
Control displacement module makes image unit be rotated in the counterclockwise direction along Y-axis when left-to-right is tapered into picture.
Preferably, processing module controls the image unit to obtain multiple regions of display panel respectively, to obtain multiple areas
Domain image, and multiple area images are spliced into splicing image by processing module.
Preferably, processing module carries out brightness uniformity to splicing image, so that splicing image brilliance is consistent.
Preferably, processing module carries out gray scale fusion to splicing image, is resulted from eliminating when multiple area images splice
Splice the splicing line in image.
Preferably, automatic correction detection means can further include dedusting module, and it is arranged at workbench to remove display
Foreign matter on panel.
Preferably, dedusting module includes insufflation unit, and it blows to remove the foreign matter on display panel to display panel.
Preferably, dedusting module includes round brush unit, and it is configured with reciprocally in being moved on display panel to brush or stick
Except the foreign matter on display panel.
Below by with technical characteristic of the specific embodiment with reference to the appended accompanying drawing elaborate present invention, so that affiliated skill
Art field tool usually intellectual may be readily apparent the purpose of the present invention, technical characteristic and its advantage.
Brief description of the drawings
The step of Fig. 1 is the first embodiment of the object auto-correction method of the present invention is schemed.
Fig. 2 is the X axis and the correction schematic diagram of Y-axis coarse regulation of the object auto-correction method of the present invention.
The step of Fig. 3 is the second embodiment of the object auto-correction method of the present invention is schemed.
Fig. 4 for the present invention object auto-correction method Z axis to correction schematic diagram.
Fig. 5 corrects schematic diagram for the X axis of the object auto-correction method of the present invention.
Fig. 6 corrects schematic diagram for the Y-axis of the object auto-correction method of the present invention.
Fig. 7 is the block schematic diagram of the automatic correction detection means of the present invention.
Fig. 8 is the structural representation of the automatic correction detection means of the present invention.
Description of reference numerals
100：Automatic correction detection means
10：Workbench
20：Image unit
30：Displacement module
40：Processing module
50：Display unit
60：Dedusting module
9：Display panel
S11~S17：Step
S31~S34：Step
Embodiment
To understand technical characteristic, content and the advantage and its effect that can reach of the present invention, hereby by the present invention with reference to attached
Figure, and it is as follows with the expression-form detailed description of embodiment, and wherein used accompanying drawing, its purport is only that signal and auxiliary are said
Bright book is used, the actual proportions after may not implementing for the present invention and precisely configuration, thus not should appended accompanying drawing ratio with matching somebody with somebody
Put the interest field that relation is understood, limited the invention in actual implementation.
Hereinafter with reference to relevant drawings, illustrate object auto-correction method under this invention and its correct detection means automatically
Embodiment, to make to readily appreciate, the same components in following embodiments are illustrated with identical symbology.
Referring to Fig. 1, it schemes the step of being the first embodiment of the object auto-correction method of the present invention.Pair of the present invention
As auto-correction method is used to make image unit in alignment with object to be measured, particularly make the photosurface of the photosensory assembly of image unit
Predetermined surface parallel and just pair with object to be measured, so that the optical detection for carrying out related is used.Object auto-correction method bag
Containing the following steps：S11 is obtained using image unit to be fixed on the object to be measured of workbench to obtain multiple images；S12 makes shooting
Unit is focused in object to be measured, and makes image unit to coke number in X axis and Y with local to coke number according to overall in image
Axial displacement, it is in parallel alignment to make between the photosensory assembly of image unit and object to be measured；S13 adjustment image units
Focal length simultaneously makes image unit in Z axis to displacement, with spot sampling's object to be measured, and makes multiple spies along X axis and Y-axis arrangement
The quantity and the photosensory assembly of image unit levied meet image value scope, and then make the photosensory assembly and object to be measured of image unit
Between on XY quadrants be aligned；Multiple features that S14 is arranged according to object to be measured along Y-axis are to form imaginary line, and according to vacation
Think line deviate Y-axis gradient rotate the Z axis of image unit to angle so that gradient levels off to 0；S15 is according to object along Y
Axially multiple features of arrangement are with the first size difference trend of the multiple features obtained, and turn according to first size difference trend
The angle of the X axis of dynamic image unit, so that first size difference trend levels off to 0；S16 is arranged according to object along X axis
Multiple features rotate image unit with the second size difference trend of the multiple features obtained according to the second size difference trend
Y-axis angle so that the second size difference trend levels off to 0；And S17 adjusts the focal length of image unit, it is to be measured right to make
As meeting image value along X-axis and the quantity of multiple features and the photosensory assembly of image unit of Y-axis arrangement.
The object auto-correction method of the present invention can quickly make image unit in alignment with object by above-mentioned step, and
The repeatability Gao Erke of examination criteria avoids the variety of problems produced by artificial timing standard difference.
Please refer to Fig. 2.It is worth pair overall in special instruction, the foundation image described in above-mentioned middle step S12
Coke number makes image unit in X axis and the coarse regulation of Y-axis displacement with local to coke number, and it refers to according to pair overall in image
Coke number makes image unit carry out swing offset clockwise or counterclockwise in X axis and Y-axis coke number with local, so that
Allow in image it is overall to coke number with it is local coke number is tried one's best it is close.That is, carrying out the thick of X axis and Y-axis
After adjustment, the object to be measured in the image acquired in image unit is all positioned at the focus scope or focusing range of image unit
It is interior, so as to reach in parallel alignment.
In addition, the focal length of adjustment image unit described in above-mentioned middle step S13 and make image unit in Z axis to displacement, its
If in image unit when being with tight shot, Z axis can include the contracting of the distance between image unit and object to be measured to displacement
The displacement of short or elongated displacement and image unit itself along Z axis to rotation, and if image unit be with zoom lens when,
Z axis is to displacement then comprising displacement image unit itself along Z axis to rotation.It is noted that above-mentioned middle step 13 is in reality
Border can be omitted in using, therefore how only should not be used as limitation using above-mentioned.
In above-mentioned, image value refers to multiple features that the object to be measured shown in image has, and its quantity is single with shooting
The photosensory assembly (such as image capturing scope or pixel) of member is in proportional arrangement, for example, configured in predetermined ratio.Wherein, if shooting
Z axis between unit and determinand to relation difference it is excessive when, may to have in image can not completely show some
Feature, now can not completely calculate the image value of block, therefore and make not having in image to the displacement of rotation by Z axis
The feature that can not completely show, completely to calculate the image value of block, and thus also can for image unit and determinand it
Between Z axis to relation carry out coarse regulation.
The part not illustrated yet in above-mentioned, will in the lump be illustrated with reference to next embodiment.
Referring to Fig. 3, it schemes the step of being the second embodiment of the object auto-correction method of the present invention.In the present embodiment
In only disclose step S14, S15 and S16 in previous embodiment.That is, the object auto-correction method of the present invention, even if
Under conditions of the step S12 and S13 without previous embodiment, embodiment can be also carried out.
The object auto-correction method of the present embodiment is comprised the steps of：S31 is obtained using image unit is fixed on work
The object to be measured of platform is to obtain multiple images；Multiple features that S32 is arranged according to object to be measured along Y-axis to form imaginary line,
And according to the gradient that imaginary line deviates Y-axis rotate the Z axis of image unit to angle so that gradient levels off to 0；S33 roots
The multiple features arranged according to object to be measured along Y-axis are with the first size difference trend of the multiple features obtained, and according to first
Size difference trend rotates the angle of the X-axis of image unit, so that first size difference trend levels off to 0；And S34 is according to treating
Multiple features for being arranged along X axis of object are surveyed with the second size difference trend of the multiple features obtained, and according to the second size
Difference trend rotates the angle of the Y-axis of image unit, so that the second size difference trend levels off to 0.
The object auto-correction method of the present invention can quickly make image unit in alignment with to be measured right by above-mentioned step
As, and examination criteria repeatability Gao Erke avoid artificial timing standard different produced by variety of problems.
Referring to Fig. 4, its for the present invention object auto-correction method Z axis to correction schematic diagram.As illustrated, just upper
Step S14 and S32 is stated furthermore, it is understood that because the object to be measured of workbench is fixed in image unit acquisition and obtains multiple shadows
Picture, therefore using appropriate component, such as processing module, gone out by the image or multiple image identifications in multiple images along Y
Axially multiple features of arrangement, then recycle the multiple features picked out formation imaginary line and make further to judge imaginary line
Relative to the gradient of Y-axis.Wherein, when judging that gradient is more than 0, control image unit is along Z axis to turning in the counterclockwise direction
It is dynamic so that gradient levels off to 0, and when judging that gradient is less than 0, control image unit along Z axis to being rotated in the clockwise direction
So that gradient levels off to 0.
Above-mentioned middle gradient is more than 0, its be, for example, imaginary line be by upper right turn left it is lower tilt, and above-mentioned middle gradient is less than
0, its be, for example, imaginary line be by upper left turn right it is lower tilt.By controlling image unit to be rotated along Z axis to predetermined direction, so that
The predetermined surface of object to be measured can be made to be right against the photosensory assembly of image unit.That is, it is assumed that the reservation chart of object to be measured
Face is quadrangle, thus can make the four of quadrangle while parallel to photosensory assembly four while.Though refer in above-mentioned to be parallel, but in reality
During border is used, allowed band also can be set, such as the predetermined surface of object to be measured and the photosensory assembly of image unit are upward in Z axis
Offset be ± 10 degree of allowed band.
Referring to Fig. 5, its X axis correction schematic diagram for the object auto-correction method of the present invention.As illustrated, just upper
State step S15 and S33 furthermore, it is understood that using the appropriate component of such as processing module by an image in multiple images or
Multiple image identifications go out the multiple features arranged along Y-axis, and determine the first chi of each feature using multiple features of acquisition
Very little difference trend is to make further judgement.Wherein, when judge first size difference trend for multiple features in picture under extremely
On when becoming larger (such as Fig. 5 (a) shown in), control image unit is rotated in the clockwise direction along X-axis so that first size is poor
Different trend levels off to 0, and when judge first size difference trend for multiple features in picture under supreme taper into (such as Fig. 5
(b) shown in) when, control image unit is rotated in the counterclockwise direction along X axis makes first size difference trend level off to 0.
Referring to Fig. 6, its Y-axis correction schematic diagram for the object auto-correction method of the present invention.As illustrated, just upper
State step S16 and S34 furthermore, it is understood that using the appropriate component of such as processing module by an image in multiple images or
Multiple image identifications go out the multiple features arranged along X axis, and determine the second chi of each feature using multiple features of acquisition
Very little difference trend is to make further judgement.Wherein, when judge the second size difference trend for multiple features in picture it is left extremely
When the right side becomes larger (shown in such as Fig. 6 (a)), control image unit is rotated in the clockwise direction along Y-axis, so that the second size is poor
Different trend levels off to 0；Or, judge that the second size difference trend is tapered into (such as Fig. 6 for multiple features by left-to-right in picture
(b) shown in) when, control image unit is rotated in the counterclockwise direction along Y-axis, so that the second size difference trend levels off to 0.
Such as above-mentioned steps S15 and S33 and step S16 and S34, allowed band similarly can be set in it, to be measured
The offset of the predetermined surface of object and the photosensory assembly of image unit on X axis and Y-axis is ± 6 degree of allowed band.
The present invention object auto-correction method by upper image capturing with identification so that control image unit respectively to X, Y,
Z axis is to the rotation for making predetermined direction, and it can make image unit quickly and surely in alignment with object to be measured.
Deserve particular mention, it is above-mentioned to X, Y, Z axis to skew judge, using standard deviation method (standard
Deviation) it is carried out with reference to linear regression (linear regression).
The object auto-correction method of the present invention is applied into automatic correction detection means below to be described further.
Fig. 7, Fig. 8 are referred to, it is the block schematic diagram and structural representation of the automatic correction detection means of the present invention.Such as
Shown in figure, automatic correction detection means 100 is applied to detect object to be measured, i.e. display panel 9, so that the display of display panel 9
Face is right against optical detection unit, such as image unit 20, or makes the sense of optical detection unit, such as photosensory assembly of image unit 20
Smooth surface, is right against the display surface of display panel 9.That is, the object in the object auto-correction method of the present invention, it is not
Under same application, object to be measured (such as display panel 9), or optical detection unit (such as image unit 20) can be referred to, therefore not
Limitation only can be used as using the application in the present embodiment.
Automatic correction detection means 100 contains workbench 10, image unit 20, displacement module 30 and processing module
40.Wherein, workbench 10 is configured with fixed display panel 9, and wherein workbench 10 can utilize multiple pressing blocks, and with display panel
Fixed display panel 9 is stably suppressed on workbench 10 as true edge in 9 wherein adjacent both sides.Image unit 20 can
For linear (line-scan) video camera or array (array) video camera, it is configured at the top of workbench 10, with relative to aobvious
Show panel 9, multiple images are obtained out so as to the display surface against display panel 9.Displacement module 30 can be comprising multiple such as motor
Driver element and multiple drive rods such as screw rod, and be fixed thereon image unit 20, so as to drive 20 points of image unit
Not along X, Y, Z axis to moving or rotate.Wherein, image unit 20 is arranged at displacement module 30, and passes through displacement module 30
Make image unit 20 along X, Y, Z axis to the further embodiment for moving or rotating be art usual knowledge
Known to person, just it is not repeated here in this.
Processing module 40 can be the components such as central processing unit, microprocessor, also can be the processing in a complete computers
Device, or can be carried out for the component integration such as central processing unit, microprocessor software, firmware.Processing module 40 is electrically connected with
Image unit 20 is electrically connected with displacement module 30 to control it to operate to obtain multiple images acquired in it.Wherein, handle
Module 40 can not limited sequentially to X, Y, Z axis to being corrected respectively, preferably can using Z axis to correction as preferentially, without
Restriction is sequentially corrected to X, Y-axis.
In practice, display panel 9 is first lighted so that its running, preferably can make display panel 9 only show monochrome
Picture.Then, image unit 20 is recycled continuously to obtain image against display panel 9, so that processing module 40 can be via taking the photograph
As unit 20 obtains multiple images, wherein this image for example can be the image of actual photographed, or the temporary transient shadow for watching in real time
Picture.Then coarse regulation and fine control again according to the multiple images progress object alignment obtained, for example above-mentioned step S12 of coarse regulation,
S13, and for example above-mentioned step S14~S16 of fine control.
For in terms of coarse regulation, processing module 40 can control image unit 20 and display panel 9 focused, and by shadow
Obtained as in display panel 9 display surface it is overall to coke number with local to coke number, image unit 20 is made according to this along X-axis
Displacement is carried out to, Y-axis, so that within the scope of the whole display surface of display panel 9 falls within focus, you can complete X axis
And the coarse regulation of Y-axis.Then, processing module 40 can control displacement module 30 and image unit 20, to adjust image unit 20
With the focal distance between display panel 9, and can simultaneously or segmentation carry out ground, make image unit 20 in Z axis to displacement, so that shadow
The quantity of multiple features, the shadow with image unit 20 are arranged on the display surface of display panel 9 as in along X axis and Y-axis
Configured as obtaining scope or pixel etc. in proportion, simultaneously, in order that can completely show each feature in image, handle mould
Block 40 is controllable to make the displacement along Z axis to rotation.Therefore, also can for the Z axis between image unit 20 and display panel 9 to
Relation carries out coarse regulation.
For fine tuning perfect square, processing module 40 can be picked out in multiple images display panel 9 along Y-axis arrange it is many
Individual feature, such as pixel, to form imaginary line, and according to the gradient that imaginary line deviates Y-axis rotate the Z axis of image unit to
Angle, so that gradient levels off to 0.In Z axis to after correction, processing module 40 can pick out display panel in multiple images again
The 9 multiple features arranged along Y-axis are become with the first size difference trend of the multiple features obtained according to first size difference
Gesture command displacement module 30 rotates the angle of the X-axis of image unit, so that first size difference trend levels off to 0, to carry out X-axis
To correction.Finally, processing module 40 picked out again in multiple images multiple features that display panel 9 arranges along X axis with
Second size difference trend of the multiple features obtained, and rotate shooting according to the second size difference trend command displacement module 30
The angle of the Y-axis of unit, so that the second size difference trend levels off to 0, to carry out the correction of Y-axis.
In above-mentioned to X, Y, Z axis to be corrected in the present invention object auto-correction method in illustrate, in this
Just it is not repeated here.
It is worth special instruction, automatic correction detection means 100 can include display unit 50, to show image unit 20
Acquired image, and it can be shown in the way of LCD images or CCD images.In addition, carrying out X, Y, Z axis to correction
Before, processing module 40 can control image unit 20 and be performed on their own focusing, or collocation displacement module 30 is focused, so as to be intended to
Focus region is with higher to coke number, so that the spot sampling of predetermined Mapping values is carried out, to carry out X, Y, Z axis to correction.
In addition, carrying out X, Y, Z axis to before correction, can first carrying out the journey that foreign matter is removed on the display surface of display panel 9
Sequence.Furthermore, it is understood that correction detection means 100 can include dedusting module 60 automatically, it can be such as nozzle insufflation unit, or be
Brush or the round brush unit for having stickiness.Wherein, when dedusting module 60 is insufflation unit, it may be disposed on workbench 10 and position
Around display panel 9, to be blown to display panel 9, so as to remove the foreign matter on display panel 9.And when dedusting module 60
During for round brush unit, its component such as rack or screw rod and motor that can arrange in pairs or groups, with reciprocally in being moved on display panel 9 to brush or
The glutinous foreign matter except on display panel 9.Removed by the foreign matter of display panel 9, its can be beneficial to follow-up X, Y, Z axis to correction make
The detection operation of industry and follow-up display panel 9.
In X, Y, Z axis to after the completion of correction, automatic correction detection means 100 can further carry out the journeys such as image joint
Sequence, in favor of the detection operation of follow-up display panel 9.
Image unit 20 is moved furthermore, it is understood that processing module 40 can control displacement module 30, to control image unit
20 obtain multiple regions of display panel 9 respectively, to obtain multiple area images.For example, display panel 9 can be divided into
Left half of and right one side of something, to obtain left half of area image and right half of area image respectively；Either, it is larger in size
Display panel 9 when display panel 9 is divided into 2x2 region, to obtain the area image in each region respectively.Then, handle
The multiple area images obtained are spliced into a splicing image by module 40, using the detection operation as follow-up display panel 9 it
With.
In above-mentioned, processing module 40 can further using image greyscale correcting algorithm to carry out brightness uniformity, with
Make splicing image brilliance consistent；In addition, using image joint algorithm to carry out gray scale fusion, when eliminating multiple area image splicings
Result from the splicing line in splicing image.
Illustrative is the foregoing is only, rather than is restricted person.Any spirit and scope without departing from the present invention, and to it
The equivalent modifications of progress or change, are intended to be limited solely by appended claims.
Claims (20)
1. a kind of object auto-correction method, applied to making image unit in alignment with object to be measured, it is characterised in that comprising following
Step：
Obtained using the image unit and be fixed on the object to be measured of workbench to obtain multiple images；
The image unit is set to focus in the object to be measured, and according to overall to coke number and local focusing in the image
Value makes the image unit in X-axis and Y-axis displacement, makes between the photosensory assembly of the image unit and the object to be measured in flat
Row alignment；
The multiple feature arranged according to the object to be measured along Y-axis is and inclined according to the imaginary line to form imaginary line
From Y-axis gradient rotate the Z axis of the image unit to angle so that the gradient levels off to 0；
The multiple feature arranged according to the object along Y-axis is become with the first size difference of the multiple feature obtained
Gesture, and the angle of the X-axis according to the first size difference trend rotation image unit, so that the first size difference
Trend levels off to 0；
The multiple feature arranged according to the object along X axis is become with the second size difference of the multiple feature obtained
Gesture, and the angle of the Y-axis according to the second size difference trend rotation image unit, so that second size difference
Trend levels off to 0；And
The focal length of the image unit is adjusted, makes quantity and institute of the object to be measured along X-axis and multiple features of Y-axis arrangement
The photosensory assembly for stating image unit meets image value.
2. object auto-correction method as claimed in claim 1, it is characterised in that according to overall to coke number in the image
Make the image unit in X-axis and Y-axis displacement to coke number with local, further comprise the steps of：
So that overall in the image level off to 0 to coke number and the local difference to coke number, and then described in the image
Object to be measured is all in the range of the focus of the image unit.
3. object auto-correction method as claimed in claim 1, it is characterised in that it is further comprised the steps of：
When judging that the gradient is more than 0, the image unit is controlled along Z axis to rotating in the counterclockwise direction；
Or, when judging that the gradient is less than 0, the image unit is controlled along Z axis to being rotated in the clockwise direction.
4. object auto-correction method as claimed in claim 1, it is characterised in that it is further comprised the steps of：
Judge the first size difference trend for the multiple feature in picture under it is supreme become larger when, control described in take the photograph
As unit is rotated in the clockwise direction along X-axis；
Or, judge the first size difference trend for the multiple feature in picture under it is supreme taper into when, control institute
Image unit is stated to rotate in the counterclockwise direction along X axis.
5. object auto-correction method as claimed in claim 1, it is characterised in that it is further comprised the steps of：
Judge the second size difference trend for the multiple feature left-to-right becomes larger in picture when, control described in take the photograph
As unit is rotated in the clockwise direction along Y-axis；
Or, judge the second size difference trend for the multiple feature left-to-right is tapered into picture when, control institute
Image unit is stated to rotate in the counterclockwise direction along Y-axis.
6. object auto-correction method as claimed in claim 1, it is characterised in that described to make the image unit focus in institute
The rear of the step of stating object to be measured is further comprised the steps of：
Adjust the focal length of the image unit and make the image unit in Z axis displacement, with object to be measured described in spot sampling, and
Make to meet image value scope with the photosensory assembly of the image unit along X-axis and the quantity of multiple features of Y-axis arrangement, and then
The image unit is set to be aligned with the object to be measured on XY quadrants.
7. a kind of object auto-correction method, is directed at object to be measured, it is characterised in that include following step applied to image unit is made
Suddenly：
Obtained using the image unit and be fixed on the object to be measured of workbench to obtain multiple images；
The multiple features arranged according to the object to be measured along Y-axis deviate Y-axis to form imaginary line according to the imaginary line
Gradient rotate the Z axis of the image unit to angle so that the gradient levels off to 0；
The first size of the multiple feature of the multiple feature arranged according to the object to be measured along Y-axis to obtain is poor
Different trend, and the angle of the X-axis according to the first size difference trend rotation image unit, so that the first size
Difference trend levels off to 0；And
Second size of the multiple feature of the multiple feature arranged according to the object to be measured along X axis to obtain is poor
Different trend, and the angle of the Y-axis according to the second size difference trend rotation image unit, so that second size
Difference trend levels off to 0.
8. object auto-correction method as claimed in claim 7, it is characterised in that it is further comprised the steps of：
When judging that the gradient is more than 0, the image unit is controlled along Z axis to rotating in the counterclockwise direction；
Or, when judging that the gradient is less than 0, the image unit is controlled along Z axis to being rotated in the clockwise direction.
9. object auto-correction method as claimed in claim 7, it is characterised in that it is further comprised the steps of：
Judge the first size difference trend for the multiple feature in picture under it is supreme become larger when, control described in take the photograph
As unit is rotated in the clockwise direction along X-axis；
Or, judge the first size difference trend for the multiple feature in picture under it is supreme taper into when, control institute
Image unit is stated to rotate in the counterclockwise direction along X axis.
10. object auto-correction method as claimed in claim 7, it is characterised in that it is further comprised the steps of：
Judge the second size difference trend for the multiple feature left-to-right becomes larger in picture when, control described in take the photograph
As unit is rotated in the clockwise direction along Y-axis；
Or, judge the second size difference trend for the multiple feature left-to-right is tapered into picture when, control institute
Image unit is stated to rotate in the counterclockwise direction along Y-axis.
11. a kind of automatic correction detection means, applied to detection display panel, it is characterised in that include：
Workbench, configuration is with the fixed display panel；
Image unit, is set relative to the display panel, to obtain the display panel to obtain multiple images；
Displacement module, connects the image unit, to drive the image unit respectively along X, Y, Z axis to moving or turn
It is dynamic；And
Processing module, connects the image unit and the displacement module, and the processing module is recognized in the multiple image
Go out multiple features that the display panel arranges along Y-axis to form imaginary line, and deviate according to the imaginary line inclination of Y-axis
Degree rotate the Z axis of the image unit to angle so that the gradient levels off to 0, and pick out the display panel along Y
Axially the multiple feature of arrangement is with the first size difference trend of the multiple feature obtained, and according to first chi
Very little difference trend rotates the angle of the X-axis of the image unit, so that the first size difference trend levels off to 0, and identification
Go out the multiple feature that the display panel arranges along X axis with the second size difference of the multiple feature obtained to become
Gesture, and the angle of the Y-axis according to the second size difference trend rotation image unit, so that second size difference
Trend levels off to 0.
12. automatic correction detection means as claimed in claim 11, it is characterised in that the processing module judges described tilt
Degree controls the displacement module to make the image unit along Z axis to rotating in the counterclockwise direction when being more than 0, and judges the inclination
Degree controls the displacement module to make the image unit along Z axis to being rotated in the clockwise direction when being less than 0.
13. automatic correction detection means as claimed in claim 11, it is characterised in that the processing module judges described first
Size difference trend be the multiple feature in picture under supreme control the displacement module to make the shooting when becoming larger
Unit is rotated in the clockwise direction along X-axis, and judge the first size difference trend for the multiple feature in picture under
It is supreme to control the displacement module image unit is rotated in the counterclockwise direction along X axis when tapering into.
14. automatic correction detection means as claimed in claim 11, it is characterised in that the processing module judges described second
Size difference trend is that the multiple feature left-to-right in picture controls the displacement module to make the shooting when becoming larger
Unit is rotated in the clockwise direction along Y-axis, and judge the second size difference trend for the multiple feature in picture it is left
The displacement module is controlled the image unit is rotated in the counterclockwise direction along Y-axis when being tapered into the right side.
15. automatic correction detection means as claimed in claim 11, it is characterised in that the processing module controls the shooting
Unit obtains multiple regions of the display panel respectively, and to obtain multiple area images, and the processing module will be described more
Individual area image is spliced into splicing image.
16. automatic correction detection means as claimed in claim 15, it is characterised in that the processing module is to the splicing shadow
As carrying out brightness uniformity, so that the splicing image brilliance is consistent.
17. automatic correction detection means as claimed in claim 15, it is characterised in that the processing module is to the splicing shadow
As carrying out gray scale fusion, to eliminate the splicing line resulted from when the multiple area image splices in the splicing image.
18. automatic correction detection means as claimed in claim 11, it is characterised in that further comprising dedusting module, it sets
The workbench is placed in remove the foreign matter on the display panel.
19. automatic correction detection means as claimed in claim 18, it is characterised in that the dedusting module is single comprising blowing
Member, it blows to remove the foreign matter on the display panel to the display panel.
20. automatic correction detection means as claimed in claim 18, it is characterised in that the dedusting module includes round brush list
Member, it is configured with reciprocally in being moved on the display panel to brush or the glutinous foreign matter except on the display panel.
Applications Claiming Priority (4)
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| TW105106244 | 2016-03-02 | ||
| TW105106244 | 2016-03-02 | ||
| TW105120628 | 2016-06-29 | ||
| TW105120628A TWI603060B (en) | 2016-03-02 | 2016-06-29 | Automatic object alignment method and automatic alignment inspection device thereof |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108449525A (en) * | 2018-03-26 | 2018-08-24 | 京东方科技集团股份有限公司 | The acquisition methods and automatic optical checking equipment of automatic visual inspection Plays image |
| CN110246449A (en) * | 2019-06-18 | 2019-09-17 | 京东方科技集团股份有限公司 | The adjusting method and device of display panel |
| CN110430353A (en) * | 2019-08-15 | 2019-11-08 | 迈兴(厦门)电子有限公司 | A kind of raising mold protector camera imaging depth of field device and its application method |
| CN113160736A (en) * | 2021-04-26 | 2021-07-23 | 西安诺瓦星云科技股份有限公司 | Display screen correction method and device |
| CN113160737A (en) * | 2021-04-26 | 2021-07-23 | 西安诺瓦星云科技股份有限公司 | Display screen correction method and device |
| CN113539162A (en) * | 2021-07-02 | 2021-10-22 | 深圳精智达技术股份有限公司 | Image capturing method and device of display panel |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002208010A (en) * | 2001-01-11 | 2002-07-26 | Shinkawa Ltd | Method for processing image and device for the same |
| US20030061594A1 (en) * | 2001-09-26 | 2003-03-27 | Hideo Tsuchiya | Pattern inspection apparatus |
| CN1745385A (en) * | 2003-02-03 | 2006-03-08 | 光子动力学公司 | Method and apparatus for optical inspection of a display |
| CN102136069A (en) * | 2010-01-25 | 2011-07-27 | 华晶科技股份有限公司 | Object image correcting device and method for identification |
| CN103813151A (en) * | 2012-11-02 | 2014-05-21 | 索尼公司 | Image processing apparatus and method, image processing system and program |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4783826A (en) * | 1986-08-18 | 1988-11-08 | The Gerber Scientific Company, Inc. | Pattern inspection system |
| JP2005030996A (en) * | 2003-07-09 | 2005-02-03 | Matsushita Electric Ind Co Ltd | Inspection method of substrate having repeated pattern |
-
2016
- 2016-07-27 CN CN201610597071.3A patent/CN107155058B/en active Active
- 2016-12-14 JP JP2016241861A patent/JP6368766B2/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002208010A (en) * | 2001-01-11 | 2002-07-26 | Shinkawa Ltd | Method for processing image and device for the same |
| US20030061594A1 (en) * | 2001-09-26 | 2003-03-27 | Hideo Tsuchiya | Pattern inspection apparatus |
| CN1745385A (en) * | 2003-02-03 | 2006-03-08 | 光子动力学公司 | Method and apparatus for optical inspection of a display |
| CN102136069A (en) * | 2010-01-25 | 2011-07-27 | 华晶科技股份有限公司 | Object image correcting device and method for identification |
| CN103813151A (en) * | 2012-11-02 | 2014-05-21 | 索尼公司 | Image processing apparatus and method, image processing system and program |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108449525A (en) * | 2018-03-26 | 2018-08-24 | 京东方科技集团股份有限公司 | The acquisition methods and automatic optical checking equipment of automatic visual inspection Plays image |
| CN110246449A (en) * | 2019-06-18 | 2019-09-17 | 京东方科技集团股份有限公司 | The adjusting method and device of display panel |
| CN110430353A (en) * | 2019-08-15 | 2019-11-08 | 迈兴(厦门)电子有限公司 | A kind of raising mold protector camera imaging depth of field device and its application method |
| CN110430353B (en) * | 2019-08-15 | 2024-04-19 | 迈兴(厦门)电子有限公司 | Application method of camera imaging depth-of-field device of mold protector |
| CN113160736A (en) * | 2021-04-26 | 2021-07-23 | 西安诺瓦星云科技股份有限公司 | Display screen correction method and device |
| CN113160737A (en) * | 2021-04-26 | 2021-07-23 | 西安诺瓦星云科技股份有限公司 | Display screen correction method and device |
| CN113539162A (en) * | 2021-07-02 | 2021-10-22 | 深圳精智达技术股份有限公司 | Image capturing method and device of display panel |
| CN113539162B (en) * | 2021-07-02 | 2024-05-10 | 深圳精智达技术股份有限公司 | Image capturing method and device of display panel |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107155058B (en) | 2020-04-21 |
| JP6368766B2 (en) | 2018-08-01 |
| JP2017156339A (en) | 2017-09-07 |
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