CN100504288C - Article geometrical size measuring device and method based on multi-source image fusion - Google Patents
Article geometrical size measuring device and method based on multi-source image fusion Download PDFInfo
- Publication number
- CN100504288C CN100504288C CNB2007100188650A CN200710018865A CN100504288C CN 100504288 C CN100504288 C CN 100504288C CN B2007100188650 A CNB2007100188650 A CN B2007100188650A CN 200710018865 A CN200710018865 A CN 200710018865A CN 100504288 C CN100504288 C CN 100504288C
- Authority
- CN
- China
- Prior art keywords
- data
- edge
- image
- testee
- ccd sensor
- 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.)
- Expired - Fee Related
Links
Images
Abstract
The invention relates to a measuring device and a method based on an object geometry size interfused by a multiple source image, and the measuring device comprises a data acquisition device that performs the acquisition and the attached processing to the image data of the measured object, a data detecting and processing device that performs a fringe coarse positioning and the secondary image element fringe to the image data and adopts a data fitting method to perform a fitting to the secondary image element fringe, to obtain a fringe interval; a data fusion device that performs the interfusion to the measuring object data withdrawal by the data detecting and processing device. The invention expands a single CCD sensor measurement to a multiple CCD sensor measurement, the multiple sensor redundant information is fully utilized and the weighting fusion treatment is performed to the multiple sensor redundant information, thereby obtaining the estimation result of the multiple sensor fusion; and the precision of the measuring result is improved.
Description
Technical field
The present invention relates to a kind of measurement mechanism and method of article geometrical size, relate in particular to a kind of article geometrical size measuring device and method that merges based on multi-source image.
Background technology
Traditional ccd image measuring method has characteristics such as noncontact, full visual field, cost be low, so image measurement technology becomes a newer branch in the measuring technique and has been widely used in the online detection of article geometrical size and high precision, high-speed field of measuring technique.The single-sensor measuring system is made up of optical system, ccd video camera, image pick-up card, computing machine etc.Optical system carries out realizing the conversion of light signal to electric signal behind the optical imagery on the ccd video camera light-sensitive surface to testee, realize the conversion of simulating signal via capture card to digital signal, on computers the data image signal that collects is carried out corresponding algorithm process then, obtain the dimensional parameters of testee.But owing to be subjected to the accuracy limitations of ccd sensor, the measuring accuracy that this method reached is very limited.
Summary of the invention
The purpose of this invention is to provide a kind of article geometrical size measuring device and method based on the multi-source image fusion that can improve measuring accuracy.
For achieving the above object, the technical solution used in the present invention is: comprise that a view data to testee gathers the data collector with enhancement process; Data to the input of data harvester are carried out edge coarse positioning and sub-pixel edge detection, and adopt the data fitting method that sub-pixel edge is carried out the Data Detection treating apparatus that match obtains the edge spacing; The data fusion device that the measuring object data that the Data Detection treating apparatus is extracted are handled and merged; This data collector comprises that several are distributed in testee ccd sensor on every side, and this ccd sensor links to each other with the Data Detection treating apparatus, and the data that data fusion device obtains each sensor are weighted and merge the geometric parameter that obtains testee.
The article geometrical size measuring method that multi-source image of the present invention merges is:
1) system calibrating: several ccd sensors at first as required are spacedly distributed around testee, each ccd sensor is measured the size of a known geometric parameter object, obtain the multiplying power relation between the image, obtain the physical size of unit picture element representative;
2) obtain the partial image data of measurand respectively by single ccd sensor;
3) view data that respectively single ccd sensor is collected is carried out noise reduction and enhancement process, obtains the less relatively view data of several noises and these several view data are imported Data Detection treating apparatus;
4) the Data Detection treating apparatus adopts method for detecting image edge and sub-pixel edge detection algorithm that each edge of image is accurately located, and the image that each edge of image will be positioned at after sub-pixel precision also will be located is imported data fusion device;
5) data fusion device with each edge accurately the image behind the location adopt curve fitting method to calculate pixel count between the edge, i.e. photosensitive pixel number between the border is then according to the image multiplying power
Calculate the physical dimension that obtains object on single ccd sensor; Wherein, D is the geometric parameter of testee, and m is the physical dimension of the photosensitive pixel of ccd sensor unit, and Δ N is the photosensitive pixel number between the testee edge, and λ is the convergent-divergent multiplying power of optical system to testee;
6) the testee physical dimension The data information fusion that each single ccd sensor is obtained respectively is the physical dimension that the data weighting blending algorithm obtains testee.
Method for detecting image edge of the present invention adopts the sobel operator, on both direction, determine the gradient map at edge, adopt the single order differential that edge image is carried out sub-pixel positioning afterwards, promptly accurately obtain the edge of image position by the correlativity between the pixel brightness value on the thicker profile.
The present invention is in conjunction with the noncontact of traditional images measuring technique, advantage and multi-source data fusion method advantage of high precision that cost is low, single ccd sensor measurement is expanded to many ccd sensors measures, make full use of the multisensor redundant information and it is weighted fusion treatment, obtain the Multi-sensor Fusion estimated result, improved the precision of measurement result.
Description of drawings
Fig. 1 is a structure principle chart of the present invention.
Embodiment
Below in conjunction with accompanying drawing the present invention is described in further detail.
Referring to Fig. 1, the present invention includes a view data and gather and the data collector 1 of enhancement process with raising view data utilization factor to testee; Data to 1 input of data harvester are carried out edge coarse positioning and sub-pixel edge detection, and adopt the data fitting method that sub-pixel edge is carried out the Data Detection treating apparatus 2 that match obtains the edge spacing; The data fusion device 3 that the measuring object data that Data Detection treating apparatus 2 is extracted merge; This data collector 1 comprises that several are distributed in testee ccd sensor 4 on every side, determine the quantity of sensor and the range distribution between the sensor as required, this ccd sensor 4 links to each other with Data Detection treating apparatus 2, and the data that data fusion device 3 obtains each ccd sensor 4 are weighted and merge the geometric parameter that obtains testee.
Ccd sensor 4 be by by optical system to the physical dimension of testee with certain, multiplying power images on the photosurface of ccd sensor 4 accurately, image to ccd sensor 4 outputs carries out the A/D conversion, importing Data Detection treating apparatus 2 then handles to realize measurement, therefore answering system is demarcated before measuring, and promptly utilizes the object of a known dimensions to handle the multiplying power relation that obtains between system's image.Computing formula is:
Wherein, D is the geometric parameter of testee, and m is the physical dimension of the photosensitive pixel of CCD unit, and Δ N is the photosensitive pixel number between the testee edge, and λ is the convergent-divergent multiplying power of optical system to testee.
Referring to Fig. 1, measuring method of the present invention is as follows:
1) system calibrating: several ccd sensors 4 at first as required distribute around testee, the size of 4 pairs of known geometric parameter objects of each ccd sensor is measured, obtain the multiplying power relation between the image, obtain the physical size of unit picture element representative;
2) obtain the partial image data of measurand respectively by single ccd sensor 4;
3) view data that respectively single ccd sensor 4 is collected is carried out noise reduction and enhancement process, obtains the less relatively view data of several noises and these several view data are imported Data Detection treating apparatus 2;
4) Data Detection treating apparatus 2 adopts method for detecting image edge and sub-pixel edge detection algorithm that each edge of image is accurately located, the image that each edge of image will be positioned at after sub-pixel precision also will be located is imported data fusion device 3, method for detecting image edge adopts the sobel operator, on both direction, determine the gradient map at edge, adopt single order differential expectation method that edge image is carried out sub-pixel positioning afterwards, promptly accurately obtain the edge of image position by the correlativity between the pixel brightness value on the thicker profile;
5) data fusion device 3 with each edge accurately the image behind the location adopt curve fitting method to calculate pixel count between the edge, i.e. photosensitive pixel number between the border is then according to the image multiplying power
Calculate the physical dimension that obtains object on single ccd sensor 4; Wherein, D is the geometric parameter of testee, and m is the physical dimension of the photosensitive pixel of ccd sensor 4 units, and Δ N is the photosensitive pixel number between the testee edge, and λ is the convergent-divergent multiplying power of optical system to testee;
6) the testee physical dimension The data information fusion that each single ccd sensor 4 is obtained respectively is the physical dimension that the data weighting blending algorithm obtains testee, is exported by decision-making after the measuring management system.
The present invention can fully utilize image processing techniques and Multi-sensor Fusion estimation technique in the noncontact environment, the geometric parameter of object is measured.Compare with classic method, this method can fully utilize the multisensor redundant information, and computing is easy, and has improved the precision and the accuracy of measurement data to a certain extent.
Example 1 adopts 10 ccd sensors respectively the diameter of bar-shaped object to be measured, and the simulated measurement process is as follows:
The image that collects is passed through the spacing that processing can obtain the edge of object afterwards respectively, can determine the size of object afterwards according to system calibrating.Multi-source information to multisensor adopts multi-source data weighting fusion algorithm to merge afterwards, obtains the Multi-sensor Fusion measurement result.
The diameter parameters that to diameter is 7.13 bar-shaped object is measured, and the measurement result that obtains is as shown in table 1.
Table 1 sensor measurement data
| Sensor | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | Average |
| Measured value (mm) | 7.12 | 7.13 | 7.24 | 7.10 | 7.02 | 7.01 | 7.19 | 7.02 | 7.19 | 7.45 | 7.147 |
Adopt the back-end crop weighting fusion algorithm in the data weighting blending algorithm that the data that obtain are handled, get different back-end crop rate α data are merged, draw it respectively and merge estimated value, as shown in table 2.
Table 2 multisensor measurement fusion estimated value
Claims (3)
1, a kind of article geometrical size measuring device that merges based on multi-source image is characterized in that:
Comprise that a view data to testee gathers the data collector (1) with enhancement process;
Data to data harvester (1) input are carried out edge coarse positioning and sub-pixel edge detection, and adopt the data fitting method that sub-pixel edge is carried out the Data Detection treating apparatus (2) that match obtains the edge spacing;
The data fusion device (3) that the measuring object data that Data Detection treating apparatus (2) is extracted are handled and merged;
This data collector (1) comprises that several are distributed in testee ccd sensor (4) on every side, this ccd sensor (4) links to each other with Data Detection treating apparatus (2), and the data that data fusion device (3) obtains each sensor (4) are weighted and merge the geometric parameter that obtains testee.
2, a kind of article geometrical size measuring method based on the multi-source image fusion based on the described article geometrical size measuring device of claim 1 is characterized in that:
1) system calibrating: several ccd sensors (4) at first as required are spacedly distributed around testee, each ccd sensor (4) is measured the size of a known geometric parameter object, obtain the multiplying power relation between the image, obtain the physical size of unit picture element representative;
2) obtain the partial image data of measurand respectively by single ccd sensor (4);
3) view data that respectively single ccd sensor (4) is collected is carried out noise reduction and enhancement process, obtains the less relatively view data of several noises and these several view data are imported Data Detection treating apparatus (2);
4) Data Detection treating apparatus (2) adopts method for detecting image edge and sub-pixel edge detection algorithm that each edge of image is accurately located, and the image that each edge of image will be positioned at after sub-pixel precision also will be located is imported data fusion device (3);
5) data fusion device (3) with each edge accurately the image behind the location adopt curve fitting method to calculate pixel count between the edge, i.e. photosensitive pixel number between the border is then according to the image multiplying power
Calculate the physical dimension that obtains object on single ccd sensor (4); Wherein, D is the geometric parameter of testee, and m is the physical dimension of the photosensitive pixel of ccd sensor (4) unit, and Δ N is the photosensitive pixel number between the testee edge, and λ is the convergent-divergent multiplying power of optical system to testee;
6) the testee physical dimension The data information fusion that each single ccd sensor (4) is obtained respectively is the physical dimension that the data weighting blending algorithm obtains testee.
3, the article geometrical size measuring method that merges based on multi-source image according to claim 2, it is characterized in that: said method for detecting image edge adopts the sobel operator, on both direction, determine the gradient map at edge, adopt the single order differential that edge image is carried out sub-pixel positioning afterwards, promptly accurately obtain the edge of image position by the correlativity between the pixel brightness value on the thicker profile.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2007100188650A CN100504288C (en) | 2007-10-15 | 2007-10-15 | Article geometrical size measuring device and method based on multi-source image fusion |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2007100188650A CN100504288C (en) | 2007-10-15 | 2007-10-15 | Article geometrical size measuring device and method based on multi-source image fusion |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101144703A CN101144703A (en) | 2008-03-19 |
| CN100504288C true CN100504288C (en) | 2009-06-24 |
Family
ID=39207350
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNB2007100188650A Expired - Fee Related CN100504288C (en) | 2007-10-15 | 2007-10-15 | Article geometrical size measuring device and method based on multi-source image fusion |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN100504288C (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101655349B (en) * | 2009-08-31 | 2011-06-22 | 东莞市三姆森光电科技有限公司 | Full-automatic optical size detecting method and detecting system |
Families Citing this family (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101922917B (en) * | 2010-06-29 | 2012-06-20 | 华南理工大学 | Micromovement detection method based on vision during assembly of precise electrons |
| CN102252611B (en) * | 2011-05-09 | 2013-11-27 | 深圳市澎湃图像技术有限公司 | Geometric positioning method |
| CN102737377A (en) * | 2012-05-14 | 2012-10-17 | 上海瑞伯德智能系统科技有限公司 | Improved method for extracting sub-pixel edge |
| CN102778211B (en) * | 2012-07-13 | 2014-10-15 | 东华大学 | Irregular-shaped spectacle frame superficial area detection device and method |
| CN103063159B (en) * | 2012-12-31 | 2015-06-17 | 南京信息工程大学 | Part size measurement method based on charge coupled device (CCD) |
| CN103278090B (en) * | 2013-05-14 | 2015-10-07 | 陕西科技大学 | A kind of vision measuring method of irregularly shaped object volume |
| CN103499297B (en) * | 2013-10-25 | 2016-01-13 | 爱科维申科技（天津）有限公司 | A kind of high-precision measuring method based on CCD |
| CN104596413B (en) * | 2014-12-25 | 2017-08-11 | 于天舒 | The photogrammetric survey method of liquid crystal display and its application |
| CN104923593B (en) * | 2015-05-20 | 2017-01-11 | 南京航空航天大学 | Vision-based positioning method for top layer bending plate |
| CN107703513B (en) * | 2017-08-15 | 2021-05-14 | 株洲嘉成科技发展有限公司 | Non-contact net relative position detection method based on image processing |
| CN107529020B (en) * | 2017-09-11 | 2020-10-13 | Oppo广东移动通信有限公司 | Image processing method and apparatus, electronic apparatus, and computer-readable storage medium |
| CN109141249B (en) * | 2018-08-07 | 2021-11-09 | 深圳Tcl数字技术有限公司 | Distance measuring method and computer-readable storage medium |
| CN108716890A (en) * | 2018-08-17 | 2018-10-30 | 苏州富鑫林光电科技有限公司 | A kind of high-precision size detecting method based on machine vision |
| CN110274552A (en) * | 2019-06-18 | 2019-09-24 | 西安交通大学 | A kind of integrated measurement method of the weighting of more mesh structured-light systems |
| CN111397546A (en) * | 2020-03-23 | 2020-07-10 | 北京交通大学 | Measuring device for flatness, included angle and gap width of spliced black body |
| CN111504188B (en) * | 2020-04-28 | 2021-11-16 | 湖北文理学院 | Arc part measuring method and device based on machine vision |
| CN111678429B (en) * | 2020-06-09 | 2022-02-22 | 江苏瑞奇海力科技有限公司 | Microscopic measurement system and microscopic measurement method |
-
2007
- 2007-10-15 CN CNB2007100188650A patent/CN100504288C/en not_active Expired - Fee Related
Non-Patent Citations (2)
| Title |
|---|
| 基于边缘信息的图像融合算法研究. 王勇，韩九强，张新曼.微电子学与计算机，第21卷第4期. 2004 |
| 基于边缘信息的图像融合算法研究. 王勇，韩九强，张新曼.微电子学与计算机，第21卷第4期. 2004 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101655349B (en) * | 2009-08-31 | 2011-06-22 | 东莞市三姆森光电科技有限公司 | Full-automatic optical size detecting method and detecting system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN101144703A (en) | 2008-03-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN100504288C (en) | Article geometrical size measuring device and method based on multi-source image fusion | |
| CN101403610B (en) | System and method for measuring leather area based on digital image method | |
| JP5567179B2 (en) | Stereo image processing apparatus and stereo image processing method | |
| CN105091922A (en) | Virtual watch plate based pointer reading identifying method | |
| CN102589516B (en) | Dynamic distance measuring system based on binocular line scan cameras | |
| WO2010016137A1 (en) | Inspection system | |
| CN102800096B (en) | Robustness estimation algorithm of camera parameter | |
| CN104501718A (en) | Parcel size measuring device based on visual sense | |
| CN104089697A (en) | Real-time online visual vibration measurement method based on thread pool concurrent technology | |
| CN104677330A (en) | Small binocular stereoscopic vision ranging system | |
| CN110223355B (en) | Feature mark point matching method based on dual epipolar constraint | |
| CN102680481A (en) | Detection method for cotton fiber impurities | |
| CN103712604A (en) | Method and system for optically positioning multi-target three-dimensional space | |
| CN106500625A (en) | A kind of telecentricity stereo vision measuring apparatus and its method for being applied to the measurement of object dimensional pattern micron accuracies | |
| CN104849221B (en) | Optical coherence tomography-based phase calibration method | |
| CN104713478B (en) | A kind of linear motor rotor location measurement method | |
| CN115909025A (en) | Terrain vision autonomous detection and identification method for small celestial body surface sampling point | |
| CN106657968A (en) | Three-dimensional characteristic information sensing system and sensing method | |
| Xu et al. | Reconstruction method adopting laser plane generated from RANSAC and three dimensional reference | |
| CN115272065A (en) | Dynamic fringe projection three-dimensional measurement method based on fringe image super-resolution reconstruction | |
| CN102879418B (en) | Metal wire expansion coefficient measuring method | |
| CN104515473A (en) | Online diameter detection method of varnished wires | |
| CN107392948B (en) | Image registration method of amplitude-division real-time polarization imaging system | |
| CN112146589A (en) | Three-dimensional morphology measurement system and method based on ZYNQ platform | |
| CN109285210B (en) | Pipeline three-dimensional reconstruction method combining topological relation and epipolar constraint |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20090624 Termination date: 20111015 |