CN105115420A - Large-picture detection method - Google Patents
Large-picture detection method Download PDFInfo
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- CN105115420A CN105115420A CN201510429255.4A CN201510429255A CN105115420A CN 105115420 A CN105115420 A CN 105115420A CN 201510429255 A CN201510429255 A CN 201510429255A CN 105115420 A CN105115420 A CN 105115420A
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Abstract
The invention relates to the technical field of detection, and particularly relates to a large-picture detection method. The large-picture detection method comprises the steps of providing a grid, wherein the grid is placed in a coordinate system, placing a detected object in the grid, and acquiring images of the object and the grid together by an image acquiring device; transmitting the acquired images to a computer so as to be analyzed and processed, acquiring a contour trace of the detected object, and converting coordinates of a detected point through measuring the distance between the detected point on the contour trace and a nearby grid line. The large-picture detection method does not need to find the center of a lens, the coordinates of the detected point are converted through measuring the distance between the detected point and the nearby grid line, a measurement area is fragmented, the detected point is basically consistent with the nearby grid line in bending deformation, and an error brought about by image bending deformation is effectively reduced. Coordinates of the grid line are fixed values in the coordinate system, and high-precision contour trace coordinates of the detected objected are acquired through conversion processing of the computer. Therefore, the large-picture detection method is convenient and efficient in large-picture detection, and the detection precision is high.
Description
Technical field
The present invention relates to detection technique field, especially relate to the large picture detection technique field based on photoelectric technology.
Background technology
Along with scientific-technical progress, the detecting patterns such as traditional slide calliper rule, grating scale can not meet high precision, high efficiency modern measure requirement, occur as detecting instruments such as CCD subsequently, analyzing and processing and conversion on computer is transferred to by after the image of seizing measured object, obtain testing result more accurately thus, high precision, high efficiency detection, meet the production requirement of modern manufacturing industry.But in prior art, detection is all the positions on image, center first finding out camera lens, then go to measure the parameter of other measured point on object according to this center, carry out conversion process, thus obtain the coordinate of corresponding measured point.And camera lens find a view face time, can there is bent change in pattern edge, relative to the center of camera lens, the edge song that distance is far away becomes larger, at this moment just there will be to measure value and actual value deviation greatly, extreme influence testing result.Thus, have the image march first got by camera lens by computer subsequently and become correction, and then go to measure the parameter of other measured point on object according to center, carry out conversion process, although this detecting pattern effectively reduces metrical error, but program is complicated, affects detection efficiency, and cost of investment is high.
Summary of the invention
The object of the invention is to the defect overcoming prior art, provide a kind of convenient, fast, detect large picture detection method accurately.
For achieving the above object, the present invention adopts following technical scheme:
Large picture detection method, the method is:
S1, provide a grid, this grid is placed in a coordinate system;
S2, measured object is placed in grid, seizes by image the image that device seizes object and grid together;
S3, gained image is transported to analyzing and processing in computer, draws the profile traces of measured object, the coordinate of measured point and this measured point of distance transform of mesh lines nearby on throughput contouring track.
In such scheme, described grid is arranged on the work top of detecting instrument, is placed in the coordinate system that computer virtual builds.
Large picture detection method provided by the invention, without the need to looking for the center of camera lens, adopt the distance measuring measured point and mesh lines nearby nearby to the coordinate of this measured point of converting, the little blocking of measured zone, the song of measured point and nearby mesh lines becomes basically identical, effectively reduce the error that the bent variable speed of image is come, and the coordinate of mesh lines self is fixed value in a coordinate system, carry out after conversion process through computer, obtain the profile traces coordinate of the higher measured object of precision, large picture is easy to detect, quick thus, and accuracy of detection is high.
accompanying drawing illustrates:
Accompanying drawing 1 is one embodiment schematic diagram of the present invention;
Accompanying drawing 2 is the close-up schematic view of Fig. 1 embodiment.
embodiment:
Be described further below with reference to the technique effect of accompanying drawing to design of the present invention, concrete structure and generation, to understand object of the present invention, characteristic sum effect fully.
Consulting shown in Fig. 1,2, is preferred embodiment schematic diagram of the present invention, the relevant a kind of large picture detection method of the present invention, and the method is:
S1, provide a grid 1, this grid 1 is placed in a coordinate system; Preferably, described grid 1 is arranged on the work top of detecting instrument, and be placed in the coordinate system that the supporting computer virtual of detecting instrument builds, structure is simple, and cost of investment is low.
S2, measured object 2 is placed in grid 1, seizes by image the image that device seizes object and grid together.Image is seized device and be can be CCD or other vision system, obtains enough plane pictures clearly.
S3, gained image is transported to analyzing and processing in computer, as carried out image enhaucament, Morphological scale-space, filtering and Iamge Segmentation etc., specifically automatically processed by computer, for prior art, do not repeat them here, draw profile traces and the mesh lines of measured object thus, and then the coordinate of measured point and this measured point of distance transform of mesh lines nearby on throughput contouring track.As shown in Figure 2, the XY direction measuring measured point A in profile traces respectively with the distance L of mesh lines nearby
x, L
y, and the coordinate (X of corresponding mesh lines
1, Y
1) for known, at this moment the X-direction coordinate of measured point A should be X
1+ L
xor X
1-L
x; The Y-direction coordinate of same measured point A should be Y
1+ L
yor Y
1-L
y; The profile traces coordinate of measured object can be obtained by that analogy, reach testing goal.
Large picture detection method provided by the invention, without the need to looking for the center of camera lens, adopt the distance measuring measured point and mesh lines nearby nearby to the coordinate of this measured point of converting, the little blocking of measured zone, the song of measured point and nearby mesh lines becomes basically identical, effectively reduce the error that the bent variable speed of image is come, and the coordinate of mesh lines self is fixed value in a coordinate system, carry out after conversion process through computer, obtain the profile traces coordinate of the higher measured object of precision, large picture is easy to detect thus, fast, accuracy of detection is high, cost of investment is low, greatly facilitate manufacturing industry testing, meet industry to utilize.
Certainly; more than in conjunction with embodiment to invention has been detailed description; only for technical conceive of the present invention and feature are described; its object is to allow person skilled in the art understand content of the present invention and to be implemented; therefore; all equivalences done according to Spirit Essence of the present invention change or modify, and all should be encompassed in protection scope of the present invention.
Claims (2)
1. large picture detection method, is characterized in that: the method is:
S1, provide a grid, this grid is placed in a coordinate system;
S2, measured object is placed in grid, seizes by image the image that device seizes object and grid together;
S3, gained image is transported to analyzing and processing in computer, draws the profile traces of measured object, the coordinate of measured point and this measured point of distance transform of mesh lines nearby on throughput contouring track.
2. large picture detection method according to claim 1, is characterized in that: described grid is arranged on the work top of detecting instrument, is placed in the coordinate system that computer virtual builds.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510429255.4A CN105115420A (en) | 2015-07-21 | 2015-07-21 | Large-picture detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510429255.4A CN105115420A (en) | 2015-07-21 | 2015-07-21 | Large-picture detection method |
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| CN105115420A true CN105115420A (en) | 2015-12-02 |
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| CN201510429255.4A Pending CN105115420A (en) | 2015-07-21 | 2015-07-21 | Large-picture detection method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107413672A (en) * | 2017-04-21 | 2017-12-01 | 亳州市永刚饮片厂有限公司 | Prepared slices of Chinese crude drugs hierarchy system and method |
| CN109531274A (en) * | 2018-10-30 | 2019-03-29 | 成都飞机工业（集团）有限责任公司 | The Z-direction datum plane of vertical knee-type milling machine detects and setting method |
| CN109708572A (en) * | 2018-12-27 | 2019-05-03 | 江西普维精密测量设备有限公司 | The detection method and device of product |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080118143A1 (en) * | 2006-11-21 | 2008-05-22 | Mantis Vision Ltd. | 3D Geometric Modeling And Motion Capture Using Both Single And Dual Imaging |
| CN201152739Y (en) * | 2007-12-29 | 2008-11-19 | 徐春云 | Measuring instrument |
| CN101329174A (en) * | 2007-12-23 | 2008-12-24 | 中国海洋大学 | Full field vision self-scanning measurement apparatus |
| US20090046895A1 (en) * | 2007-08-10 | 2009-02-19 | Leica Geosystems Ag | Method and measurement system for contactless coordinate measurement on an object surface |
| CN101726257A (en) * | 2009-12-22 | 2010-06-09 | 西安交通大学 | Multiple large range laser scanning measurement method |
-
2015
- 2015-07-21 CN CN201510429255.4A patent/CN105115420A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080118143A1 (en) * | 2006-11-21 | 2008-05-22 | Mantis Vision Ltd. | 3D Geometric Modeling And Motion Capture Using Both Single And Dual Imaging |
| US20090046895A1 (en) * | 2007-08-10 | 2009-02-19 | Leica Geosystems Ag | Method and measurement system for contactless coordinate measurement on an object surface |
| CN101329174A (en) * | 2007-12-23 | 2008-12-24 | 中国海洋大学 | Full field vision self-scanning measurement apparatus |
| CN201152739Y (en) * | 2007-12-29 | 2008-11-19 | 徐春云 | Measuring instrument |
| CN101726257A (en) * | 2009-12-22 | 2010-06-09 | 西安交通大学 | Multiple large range laser scanning measurement method |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107413672A (en) * | 2017-04-21 | 2017-12-01 | 亳州市永刚饮片厂有限公司 | Prepared slices of Chinese crude drugs hierarchy system and method |
| CN109531274A (en) * | 2018-10-30 | 2019-03-29 | 成都飞机工业（集团）有限责任公司 | The Z-direction datum plane of vertical knee-type milling machine detects and setting method |
| CN109708572A (en) * | 2018-12-27 | 2019-05-03 | 江西普维精密测量设备有限公司 | The detection method and device of product |
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| TA01 | Transfer of patent application right |
Effective date of registration: 20170628 Address after: 523000 Guangdong province Dongguan City Dalingshan Town kumquat village funchilin pass No. 318 Applicant after: Dongguan City, Bentley fine Automation Technology Co. Ltd. Address before: 523000 Guangdong province Dongguan City Dalingshan Town kumquat Village No. 318 in Dongguan city by descending the Bentley Precision Automation Technology Co. Ltd. Applicant before: Xu Zhenju |
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Application publication date: 20151202 |