CN104168414A - Object image shooting and splicing method - Google Patents
Object image shooting and splicing method Download PDFInfo
- Publication number
- CN104168414A CN104168414A CN201310183277.8A CN201310183277A CN104168414A CN 104168414 A CN104168414 A CN 104168414A CN 201310183277 A CN201310183277 A CN 201310183277A CN 104168414 A CN104168414 A CN 104168414A
- Authority
- CN
- China
- Prior art keywords
- image
- correcting plate
- coordinate
- images
- splicing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Image Processing (AREA)
Abstract
An object image shooting and splicing method comprises the following steps: disposing an object on a working platform; determining real coordinate of the object according to a real space coordinate system; respectively shooting different areas of the object to obtain a plurality of images; respectively setting an image coordinate system for each image; determining a coordinate corresponding relation between each image coordinate system and the real space coordinate system; determining a position relative relation among the plurality of images through the coordinate corresponding relation; splicing and combining the plurality of images according to the position relative relation. Compared with the technology in the prior art, through analyzing repeated parts in each image and splicing the image, the images can be spliced accurately through the method provided by the invention.
Description
Technical field
The invention relates to a kind of method of taking and splicing object image, particularly a kind of seeing through distinguished coordinate corresponding relation between object true coordinate and the image coordinate of the captured image of video camera, carries out the method for image joint.
Background technology
In current industrial processes, image detection system is by a large amount of being applied on automatic production line, carry out purposes such as object identification, automatic location, dimension measurement, with guiding mechanical arm, to the element on production platform, process or fabrication schedule, or detect the object of producing, whether meet the high-precision requirement of size, outward appearance.
In known technology, image detection system is in configuration, except meeting is on production line or on tool station, set up a video camera, aim at the object that institute's wish detects, outside taking, also can be on the side of video camera, set up in addition one group of lamp source, provide and take required light.In addition, also need to assemble relevant accessory, the brightness controller that the lamp source of for example arranging in pairs or groups is used, or the power circuit of join dependency and keying line.
Generally speaking,, in order to detect more accurately the object to be measured producing on line, image detection system can be taken object image with high-res.But, in the time that object area to be measured is larger, if only take whole images of whole object with the camera lens of single video camera, because the picture area capturing expands, the required picture angle including of camera lens also increases thereupon, except the problem that easy generation resolution declines, also easily cause image edge to be distorted, cause overall image distortion.
In order to address the above problem, in known technology, can set up 2-4 platform video camera simultaneously, object is carried out to the action of filmed image.That is, see through different video cameras, capture respectively the image of object zones of different to be measured.See through again splicing, captured multiple images are recombinated, and obtain complete object image.
Taking at present common splicing as example, be the mode that sees through software computing mostly, analyze the picture of each image, and find out the region of repeating in these images, then see through again image overlap, the part of repetition is cropped, to splice complete object image.But this kind is in the mode of software analysis image overlap, its accuracy is often barely satisfactory.Main cause is, less when two its overlapping regions of image of preparing splicing, and while lacking more significant pattern characteristics, calculates the overlapping region of picture even if see through software, also becomes difficulty relatively, and contingent error while causing splicing.
Please refer to Figure 1A and Figure 1B.Figure 1A shows and takes when a test pieces, obtain occurring the image of spherical distortion.Wherein, in test pieces, printed the black circular pattern of arranging with matrix.By the image of Figure 1A, can see the black circular pattern serious distortion at correcting plate edge.After Figure 1B shows that the image to being distorted in Figure 1A is proofreaied and correct, the correcting image obtaining.By Figure 1B, although significantly revise the problem of image periphery distortion, generally speaking, near the black circular pattern of image neighboring area, still present the situation of deformation.
In addition, in the time setting up many video cameras object taken, due to the limited space of object top, the therefore lens direction of these video cameras, the platform of placing with respect to object, may present the shooting angle of inclination, but not shooting object vertically downward.The angle of this inclination, also can make captured image, and dilatating and deformable occurs.Please refer to Fig. 2 A and Fig. 2 B.Fig. 2 A show when camera lens with an angle of inclination shooting platform on when playing card, obtain occurring the image of deformation.As for, Fig. 2 B shows the correcting image obtaining after the image to being out of shape in Fig. 2 A is proofreaied and correct.
Because there is the above-mentioned reason that may cause image distortion distortion, the work that makes to splice multiple images, becomes more difficult.Need first image frame to be proofreaied and correct, just can carry out the steps such as subsequent analysis, cutting image overlap area and splicing.Please refer to Fig. 3 A to Fig. 3 C.Wherein, Fig. 3 A has shown the complete image of an encapsulated wafer.Fig. 3 B has shown and uses four video cameras to take respectively four images that encapsulated wafer zones of different obtains.Fig. 3 C shows the mode of utilizing known software splicing, to four captured images, and the overall image obtaining after splicing.Can obviously be found out by Fig. 3 C, splice the rear encapsulated wafer image obtaining, have the problem of serious distortion.
Summary of the invention
For above-mentioned defect, the invention provides a kind of method of taking and splicing object image, effectively to address the above problem.
A method of taking and splicing object image, comprises the following step.Place an object on workbench.According to a real space coordinate system, determine the true coordinate of object.Take respectively the zones of different of object, to obtain multiple images.Respectively to each image setting one coordinate systems in image.Determine the coordinate corresponding relation between each coordinate systems in image and real space coordinate system.See through coordinate corresponding relation and determine multiple images position relative relation to each other.According to position relative relation, splice and combine multiple images.
In a preferred embodiment, the present invention also provides a kind of method of taking and splicing object image, comprises the following step.Place a correcting plate on workbench, wherein correcting plate upper surface has multiple circular patterns, and each circular pattern all comprises an identification pattern, in order to show the true coordinate of its center of circle of circular pattern at correcting plate upper surface.Take respectively the zones of different of correcting plate upper surface, to obtain multiple correcting plate images, wherein said zones of different is overlapping to some extent to each other.The identification pattern having according to multiple circular patterns described in each correcting plate image, determines multiple correcting plate images relativeness to each other.Remove correcting plate.Place an object on workbench.Take respectively object to obtain multiple object images.According to multiple correcting plate images relativeness to each other, splice multiple object images.
The present invention is the object image to captured zones of different respectively, gives each other coordinate systems in image, then sees through the coordinate corresponding relation of looking between each coordinate systems in image and real space coordinate system, determines multiple images position relative relation to each other.So, just can see through obtained position relative relation, splice and combine multiple images, obtain the complete image of captured object.In known technology, the mode of being spliced again through the part repeating in each image of analysis, method of the present invention can be spliced image more accurately.
About shooting of the present invention the method for splicing object image, can, by following detailed Description Of The Invention and appended diagram, be further understood.
Brief description of the drawings
Figure 1A shows and takes when a test pieces, obtain occurring the image of spherical distortion;
After Figure 1B demonstration is proofreaied and correct the image being distorted, the correcting image obtaining;
Fig. 2 A show when camera lens with an angle of inclination shooting platform on when playing card, obtain occurring the image of deformation;
Fig. 2 B shows the correcting image obtaining after the image to being out of shape is proofreaied and correct;
Fig. 3 A shows the complete image of an encapsulated wafer;
Fig. 3 B demonstration is used four video cameras to take respectively four images that encapsulated wafer zones of different obtains;
Fig. 3 C shows the mode of utilizing in known technology with software splicing, to four captured images, splice the overall image obtaining afterwards;
Fig. 4 shows a kind of method flow that uses many video cameras to take and splice object image provided by the present invention;
Fig. 5 is presented at a kind of method flow that uses many video cameras to take and splice object image is provided in a preferred embodiment of the present invention;
Fig. 6 shows the actual situation of many video cameras above workbench of setting up in the present invention;
Fig. 7 shows the correcting plate using in one embodiment of the invention;
Fig. 8 shows the detailed step that determines multiple correcting plate images relativeness to each other in the present invention;
Fig. 9 shows and in the present invention, determines the selectivity step after multiple correcting plate images relativeness to each other;
Figure 10 A shows after the image that uses six video cameras shooting correcting sheet zoness of different in the present invention, captured image is presented at individually on screen; And
Figure 10 B shows in the present invention the situation on screen by spliced complete correcting sheet image display.
Drawing reference numeral:
Step S01～S08
Step S10～S70
Workbench 1
Video camera 21,22,23,24
Correcting plate 3
Circular pattern 30
Identification pattern 300
Step S401～S405
Step S41～S42.
Embodiment
The invention provides a kind of method of taking and splicing object image.The method is according to a real space coordinate system, determines the true coordinate of captured object, and the image to captured object zones of different respectively, sets each other coordinate systems in image.Then, see through the coordinate corresponding relation of looking between each coordinate systems in image and real space coordinate system, determine multiple images position relative relation to each other.So, just can effectively splice and combine multiple images, and obtain the complete image of captured object.
Please refer to Fig. 4, this figure has shown a kind of method flow of taking and splicing object image provided by the present invention.
First, execution step S01, sets up many video cameras in a workbench top.Many video cameras can set up at various height respectively, and the camera lens of video camera can be adjusted respectively and have different focal lengths.In addition, while being looked down by workbench top, the configuration of many video cameras, the rough matrix that presents is arranged, and makes each video camera aim at respectively different positions, takes different regions.
Execution step S02, places an object on workbench.
Then, execution step S03, according to a real space coordinate system, determines the true coordinate of object.Wherein, real space coordinate system can be any coordinate system in space.For example, can be the default coordinate system of workbench upper surface.In addition,, in the time that described object is a correcting plate, real space coordinate system can be also the default coordinate system of correcting plate upper surface.In other words, real space coordinate system, can be selected arbitrarily or be defined by operator, to set the true coordinate of object.
Subsequently, execution step S04, uses many video cameras to take respectively the zones of different of object, to obtain multiple images.In one embodiment, many zoness of different that video camera is captured, to each other can be overlapping to some extent, can prevent that by this spliced and combined object image from producing dialysis or blank neighboring region.But, if operator is originally as long as detect some specific region of object, so certainly also can be through setting, making, between zones of different that many video cameras take respectively, does not have overlapping region completely, or only has the part image can be overlapping to some extent.
Specifying, although in this embodiment, is to see through to set up many video cameras in workbench top, take respectively the zones of different of object, obtain multiple images, but, along with producing the difference of thread environment, the zones of different that also can take object with single video camera.See through mechanical arm and carry out travelling shot machine, can take one by one the zones of different of object, and obtain multiple images.
Then, execution step S05, respectively to each image setting one coordinate systems in image.Substantially, due to many video cameras, may set up at various height respectively, and the specification of camera lens or the focal length of adjustment also may be different, therefore, the multiple images that capture, may have different scale.Consider this kind of situation, can be for each captured image, see through setting and give respectively a coordinate systems in image.Once confirmation coordinate systems in image, any position in image frame, can indicate by image coordinate.
Execution step S06, determines the coordinate corresponding relation between each coordinate systems in image and real space coordinate system.Substantially,, as long as see through image coordinate and the true coordinate of comparing one by one object ad-hoc location in image, just can calculate the coordinate corresponding relation between coordinate systems in image and real space coordinate system.
Execution step S07, sees through coordinate corresponding relation, determines multiple images position relative relation to each other.Due in preceding step, obtain the coordinate corresponding relation between each other coordinate systems in image of multiple images and real space coordinate system, therefore can obtain multiple images true coordinate separately, and confirm these images position relative relation to each other.
Finally, execution step S08, according to position relative relation, splices and combines multiple images.
In a preferred embodiment, the present invention provides one to have the correcting plate of Coordinate identification pattern, and uses many video cameras, takes the image of correcting plate, see through again the coordinate information that in identification image, pattern has, determine each the position relative relation between the captured image of video camera.Finally, can pass through obtained position relative relation, splice and combine image.
Please refer to Fig. 5, this figure has shown in a preferred embodiment, a kind of method flow of taking and splicing object image provided by the present invention.
First, execution step S10, sets up many video cameras in a workbench top.Execution step S20, places a correcting plate on workbench.Wherein, correcting plate upper surface has multiple circular patterns, and each circular pattern all comprises an identification pattern, in order to show the true coordinate of its center of circle of circular pattern at correcting plate upper surface.Then, execution step S30, operates many video cameras, takes respectively the zones of different of correcting plate upper surface, and to obtain multiple correcting plate images, wherein zones of different is overlapping to some extent to each other.Subsequently, execution step S40, according in each correcting plate image, the identification pattern that circular pattern has, determines multiple correcting plate images relativeness to each other.Then, execution step S50, removes correcting plate, and places an object on workbench.Execution step S60, operates many video cameras, takes respectively object to obtain multiple object images.Finally, execution step S70, according to multiple correcting plate images relativeness to each other, splices multiple object images.
Specify, carrying out above-mentioned steps S10, set up many video cameras in the time of workbench top, these video cameras can set up at various height respectively, and the camera lens of video camera also can be adjusted respectively and make it have different focal lengths.While being looked down by workbench top, the configuration of many video cameras, summary can present a matrix and arrange.
Referring to Fig. 6, this figure shows the actual situation of many video cameras above workbench of setting up.As shown in the figure, above workbench 1, can set up four video cameras 21,22,23,24 simultaneously, carry out the shooting of object image.As aforementioned, these four video cameras 21,22,23,24, compared to workbench 1, have different height separately.Certainly,, along with the difference of its height, these video cameras 21,22,23,24, also need the focal length of each its camera lens of self-adjusting, to can take clearly the object image being positioned on workbench 1.If looked down by workbench 1 and the top of video camera 21,22,23,24, the position of four video cameras 21,22,23,24, summary presents the matrix of a 2x2 to be arranged, to be used for respectively capturing the image of object zones of different.
In addition,, as aforementioned, although be also to see through to set up many video cameras in workbench top in this embodiment, the zones of different of taking respectively object, obtains multiple images.But, along with producing the difference of thread environment, the zones of different of also can single video camera of choice for use taking object, and see through mechanical arm travelling shot machine, take one by one the zones of different of object, and obtain multiple images.
In other words, in this embodiment, may be to use four video cameras 21,22,23,24, capture respectively the image of four zoness of different of object.But, also can use single video camera, by the movement of mechanical arm, take respectively four zones of different images of object.Even, under the demand of environmental condition, also may only set up two cameras, capture the image of four zoness of different of object.
Please refer to Fig. 7, this figure has shown in one embodiment, is positioned over the correcting plate 3 on workbench 1.Substantially, this correcting plate 3 can be made up of paper, cardboard or sheet.Printed multiple circular patterns 30 at correcting plate 3 upper surfaces, and multiple circular pattern 30 is in correcting plate 3 upper surfaces with matrix-style arranged distribution.Each circular pattern 30 all comprises an identification pattern 300, in order to show the true coordinate of circular pattern 30 its centers of circle at correcting plate 3 upper surfaces.
In a preferred embodiment, the identification pattern 300 having in above-mentioned circular pattern 30 is made up of bar code or two-dimensional bar code.Wherein, bar code can comprise Code-128 and Code-39, and two-dimensional bar code can comprise QR Code, PDF417 and DataMatrix.Certainly, other any suitable bar code, all can apply as identification pattern herein and use.
At completing steps S30, after obtaining the correcting plate image of correcting plate 3 upper surface zoness of different, then carry out step S40, according in each correcting plate image, the identification pattern 300 that circular pattern 30 has, determines multiple correcting plate images relativeness to each other.
Please refer to Fig. 8, this figure has shown the thin partial solution step that step S40 is included.In a preferred embodiment, step S40 more can be subdivided into the following step:
First, execution step S401, the identification pattern 300 that in each correcting plate image of identification, those circular patterns 30 have, to obtain the true coordinate in those circular pattern 30 its centers of circle.Substantially, as long as see through image analysing computer, get final product the identification pattern 300 in identification circular pattern 30, and obtain the true coordinate in circular pattern 30 its centers of circle.And, can be by calculating the true coordinate in the center of circle, learn each circular pattern 30 in image, in fact should correspond to that position of correcting plate 3 upper surfaces.
Secondly, can perform step S402, according to the true coordinate in each circular pattern 30 its centers of circle in each correcting plate image, the part that expansion or torsional deformation occur in correcting plate image be revised.
Particularly point out, be limited by video camera 21,22,23,24 its camera lenses with respect to the shooting angle of correcting plate 3 and the angular range of image frame that camera lens includes, captured image may have the situation of aforementioned distortion or distortion.But, because distributing the circular pattern 30 of arranging with matrix on correcting plate 3, so as long as see through the identification pattern 300 of analyzing in image, just can confirm the coordinate in each circular pattern 30 its centers of circle in correcting plate image.So, can, easily by the central coordinate of circle of each circular pattern 30 in obtained correcting plate image, adjust or revise the part that expansion or distortion occur in image, and reach the effect of correcting image distortion.In addition, specify, this step S042 is essentially a selectivity step, and whether visual captured correcting plate image, serious expansion or torsional deformation occur, and determines whether carrying out.
Then, execution step S403, determines multiple correcting plate images relativeness to each other.In each correcting plate image, the true coordinate in each circular pattern 30 its centers of circle is learnt, therefore can know the actual position of this correcting plate image corresponding to correcting plate 3 upper surfaces, and be able to further confirm several correcting plate images relativeness to each other.
Subsequently, execution step S404, determines the plurality of correcting plate image proportionate relationship to each other.It should be noted that, because multiple correcting plate images are captured by several video cameras 21,22,23,24 respectively, along with the difference of height, camera lens specification or institute's adjusting focal length of video camera, all may make captured correcting plate image there is different ratios and size.But, owing to learning each circular pattern 30 its central coordinate of circle in each correcting plate image, therefore can further confirm several correcting plate images proportionate relationship to each other.
Finally, execution step S405, determines multiple correcting plate images overlapping regional extent to each other.In other words, the relativeness determining in step S40, has at least comprised multiple correcting plate images position relationship, proportionate relationship to each other and the regional extent overlapping each other.
Substantially, complete after above-mentioned steps S40, can directly perform step S50, removing correcting plate 3 and place object to be measured on workbench 1, then starting to operate many video cameras 21,22,23,24, object to be measured is being taken and the program of splicing image.But, for the result that allows operator can confirm and inspect abovementioned steps S40, please refer to the shown flow process of Fig. 9, after step S40 completes, optionally perform step S41 and step S42.Wherein step S41 is for the multiple correcting plate images of splicing, to obtain a complete image.As for, step S42 is shown in spliced complete image on one screen, inspects for operator.
In other words, complete above-mentioned steps S10 to step S40, for handled easily person inspects the relativenesses such as position to each other of many video cameras 21,22,23,24 its captured images, ratio, overlapping range, and inspect spliced complete image, can splice captured correcting plate image, and directly be shown on screen.Operator inspect confirm errorless after, the object that just can detect for wish carry out filming image and the program that splices and combines.
Please refer to Figure 10 A and Figure 10 B.Figure 10 A has shown after the image that uses six video cameras shooting correcting sheet zoness of different, captured image has been presented at individually on screen.As for, Figure 10 B has shown the situation on screen by spliced complete correcting sheet image display.
Shooting provided by the present invention the method for splicing object image, compared to the method for image joint in known technology, have advantages of suitable.The present invention is the object image to captured zones of different respectively, gives each other coordinate systems in image, then sees through the coordinate corresponding relation of looking between each coordinate systems in image and real space coordinate system, determines multiple images position relative relation to each other.So, just can see through obtained position relative relation, splice and combine multiple images, obtain the complete image of captured object.In known technology, the mode of being spliced again through the part repeating in each image of analysis, method of the present invention can be spliced image more accurately.
Though the present invention illustrates as above with preferred embodiments, so it not only terminates in above-described embodiment that in order to limit spirit of the present invention and invention entity.Therefore not departing from the amendment of doing in spirit of the present invention and scope, all should be included in claim.
Claims (10)
1. a method of taking and splicing object image, is characterized in that, described shooting the method for splicing object image comprise the following step:
Place an object on a workbench;
According to a real space coordinate system, determine the true coordinate of described object;
Take respectively the zones of different of described object, to obtain multiple images;
Respectively to one coordinate systems in image of image setting described in each;
Determine the coordinate corresponding relation between coordinate systems in image and described real space coordinate system described in each;
See through described coordinate corresponding relation and determine described multiple images position relative relation to each other; And
According to described position relative relation, splice and combine described multiple image.
2. the method for taking as claimed in claim 1 and splicing object image, is characterized in that, described real space coordinate is the default coordinate system of described workbench upper surface.
3. take as claimed in claim 1 and splice the method for object image, it is characterized in that, described object is a correcting plate, and described real space coordinate is the default coordinate system of described correcting plate upper surface, described correcting plate upper surface has multiple circular patterns, described in each, circular pattern all comprises an identification pattern, in order to show the true coordinate of its center of circle of described circular pattern at described correcting plate upper surface.
4. take as claimed in claim 1 and splice the method for object image, it is characterized in that, described shooting the method for splicing object image more comprise sets up many video cameras in the step of described workbench top, the zones of different of taking respectively described object to operate described many video cameras.
5. the method for taking as claimed in claim 1 and splicing object image, is characterized in that, the zones of different of above-mentioned captured described object is overlapping to some extent to each other.
6. a method of taking and splicing object image, is characterized in that, described shooting the method for splicing object image comprise the following step:
Place a correcting plate on a workbench, wherein said correcting plate upper surface has multiple circular patterns, and described in each, circular pattern all comprises an identification pattern, in order to show the true coordinate of its center of circle of described circular pattern at described correcting plate upper surface;
Take respectively the zones of different of described correcting plate upper surface, to obtain multiple correcting plate images, wherein said zones of different is overlapping to some extent to each other;
According to the described identification pattern that described in each, multiple circular patterns described in correcting plate image have, determine described multiple correcting plate image relativeness to each other;
Remove described correcting plate;
Place an object on described workbench;
Take respectively described object to obtain multiple object images; And
According to described multiple correcting plate images relativeness to each other, splice described multiple object image.
7. take as claimed in claim 6 and splice the method for object image, it is characterized in that, described shooting the method for splicing object image more comprise sets up many video cameras in the step of described workbench top, takes respectively described correcting plate or takes respectively described object to operate described many video cameras.
8. take as claimed in claim 6 and splice the method for object image, it is characterized in that, described according to the described identification pattern that described in each, multiple circular patterns described in correcting plate image have, determine described multiple correcting plate image step of relativeness to each other, more comprise:
The identification described identification pattern that described in correcting plate image, multiple circular patterns have described in each, to obtain the true coordinate in its center of circle of described multiple circular patterns;
According to the true coordinate in its center of circle of described multiple circular patterns, the part deforming in described correcting plate image is revised;
Determine described multiple correcting plate image position relative relation to each other;
Determine described many correcting plates image proportionate relationship to each other; And
Determine the regional extent that described multiple correcting plate image overlaps each other.
9. the method for taking as claimed in claim 6 and splicing object image, is characterized in that, described relativeness comprises described multiple correcting plate image position relationship, proportionate relationship and overlapping regional extent to each other.
10. the method for taking as claimed in claim 6 and splicing object image, is characterized in that, is determining after relativeness to each other of described multiple correcting plate images, and described shooting the method for splicing object image more comprise:
Splice described multiple correcting plate image, to obtain a complete image; And
Described complete image is shown on a screen, inspects for operator.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310183277.8A CN104168414A (en) | 2013-05-17 | 2013-05-17 | Object image shooting and splicing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310183277.8A CN104168414A (en) | 2013-05-17 | 2013-05-17 | Object image shooting and splicing method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104168414A true CN104168414A (en) | 2014-11-26 |
Family
ID=51912024
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310183277.8A Pending CN104168414A (en) | 2013-05-17 | 2013-05-17 | Object image shooting and splicing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104168414A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105115979A (en) * | 2015-09-09 | 2015-12-02 | 苏州威盛视信息科技有限公司 | Image mosaic technology-based PCB working sheet AOI (Automatic Optic Inspection) method |
| CN106657709A (en) * | 2015-10-30 | 2017-05-10 | 东友科技股份有限公司 | Image extraction method |
| CN108021953A (en) * | 2016-11-01 | 2018-05-11 | 财团法人工业技术研究院 | logistics goods identification image processing system, device and method |
| US10334209B2 (en) | 2015-12-17 | 2019-06-25 | Nike, Inc. | Image stitching for footwear component processing |
| CN111787224A (en) * | 2020-07-10 | 2020-10-16 | 深圳传音控股股份有限公司 | Image acquisition method, terminal device and computer-readable storage medium |
| CN114693861A (en) * | 2020-12-28 | 2022-07-01 | 财团法人工业技术研究院 | Article modeling data generation method and article modeling data generation device |
| CN116471429A (en) * | 2023-06-20 | 2023-07-21 | 上海云梯信息科技有限公司 | Image information pushing method based on behavior feedback and real-time video transmission system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008014940A (en) * | 2006-06-08 | 2008-01-24 | Fast:Kk | Camera calibration method for camera measurement of planar subject and measuring device applying same |
| CN101984463A (en) * | 2010-11-02 | 2011-03-09 | 中兴通讯股份有限公司 | Method and device for synthesizing panoramic image |
| CN102842121A (en) * | 2011-06-24 | 2012-12-26 | 鸿富锦精密工业（深圳）有限公司 | Picture splicing system and picture splicing method |
-
2013
- 2013-05-17 CN CN201310183277.8A patent/CN104168414A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008014940A (en) * | 2006-06-08 | 2008-01-24 | Fast:Kk | Camera calibration method for camera measurement of planar subject and measuring device applying same |
| CN101984463A (en) * | 2010-11-02 | 2011-03-09 | 中兴通讯股份有限公司 | Method and device for synthesizing panoramic image |
| CN102842121A (en) * | 2011-06-24 | 2012-12-26 | 鸿富锦精密工业（深圳）有限公司 | Picture splicing system and picture splicing method |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105115979A (en) * | 2015-09-09 | 2015-12-02 | 苏州威盛视信息科技有限公司 | Image mosaic technology-based PCB working sheet AOI (Automatic Optic Inspection) method |
| CN106657709A (en) * | 2015-10-30 | 2017-05-10 | 东友科技股份有限公司 | Image extraction method |
| CN106657709B (en) * | 2015-10-30 | 2019-04-12 | 东友科技股份有限公司 | Extraction of Image method |
| US10334209B2 (en) | 2015-12-17 | 2019-06-25 | Nike, Inc. | Image stitching for footwear component processing |
| TWI693148B (en) * | 2015-12-17 | 2020-05-11 | 荷蘭商耐克創新有限合夥公司 | Image stitching and manufacturing system |
| TWI719566B (en) * | 2015-12-17 | 2021-02-21 | 荷蘭商耐克創新有限合夥公司 | Image stitching and manufacturing method |
| CN108021953A (en) * | 2016-11-01 | 2018-05-11 | 财团法人工业技术研究院 | logistics goods identification image processing system, device and method |
| CN111787224A (en) * | 2020-07-10 | 2020-10-16 | 深圳传音控股股份有限公司 | Image acquisition method, terminal device and computer-readable storage medium |
| CN114693861A (en) * | 2020-12-28 | 2022-07-01 | 财团法人工业技术研究院 | Article modeling data generation method and article modeling data generation device |
| CN116471429A (en) * | 2023-06-20 | 2023-07-21 | 上海云梯信息科技有限公司 | Image information pushing method based on behavior feedback and real-time video transmission system |
| CN116471429B (en) * | 2023-06-20 | 2023-08-25 | 上海云梯信息科技有限公司 | Image information pushing method based on behavior feedback and real-time video transmission system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104168414A (en) | Object image shooting and splicing method | |
| JP6701101B2 (en) | Device and method for positioning multi-aperture optics with multiple optical channels relative to an image sensor | |
| US9964403B2 (en) | Device and method for detecting flatness of surface of display panel | |
| CN105783784B (en) | Inspection apparatus and control method of inspection apparatus | |
| CN101506614B (en) | Method and apparatus for 3-dimensional vision and inspection of ball and like protrusions of electronic components | |
| CN102439708B (en) | Check method and the connected structure inspection machine of the connected structure of substrate | |
| JP2008014940A (en) | Camera calibration method for camera measurement of planar subject and measuring device applying same | |
| CN105180841B (en) | A kind of new micro element three-dimension measuring system and its measuring method | |
| WO2021212978A1 (en) | Calibration method, calibration apparatus, and non-volatile computer-readable storage medium | |
| CN107527336B (en) | Lens relative position calibration method and device | |
| KR20120083854A (en) | Adjustment apparatus, laser machining apparatus, and adjustment method | |
| US20210291376A1 (en) | System and method for three-dimensional calibration of a vision system | |
| Wang et al. | Out-of-focus color camera calibration with one normal-sized color-coded pattern | |
| CN114331924B (en) | Large workpiece multi-camera vision measurement method | |
| CN113269762A (en) | Screen defect detection method, system and computer storage medium | |
| US20190080468A1 (en) | Positioning and measuring system based on image scale | |
| JP2015031601A (en) | Three-dimensional measurement instrument, method, and program | |
| CN103247548B (en) | A kind of wafer defect checkout gear and method | |
| CN110987378A (en) | Galvanometer breadth correction method and standard correction plate | |
| TWI504859B (en) | Method for photographing and piecing together the images of an object | |
| CN109425327A (en) | Inspection system and the inspection modification method of image | |
| CN110020997B (en) | Image distortion correction method, image restoration method and alignment method | |
| JPH09329440A (en) | Coordinating method for measuring points on plural images | |
| KR102237593B1 (en) | Optical device for inspecting glass surface | |
| CN114295331A (en) | Multi-camera module optical axis testing method, device, equipment and medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20141126 |
|
| WD01 | Invention patent application deemed withdrawn after publication |