CN103743621B - A kind of dystopy digital volume correlation technique based on image registration - Google Patents
A kind of dystopy digital volume correlation technique based on image registration Download PDFInfo
- Publication number
- CN103743621B CN103743621B CN201410003602.2A CN201410003602A CN103743621B CN 103743621 B CN103743621 B CN 103743621B CN 201410003602 A CN201410003602 A CN 201410003602A CN 103743621 B CN103743621 B CN 103743621B
- Authority
- CN
- China
- Prior art keywords
- dystopy
- sample
- digital volume
- correlation technique
- volume correlation
- 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
Landscapes
- Analysing Materials By The Use Of Radiation (AREA)
Abstract
The invention discloses a kind of dystopy digital volume correlation technique based on image registration, include seven implementation steps.Dystopy digital volume correlation technique of the present invention not only can be applied to mechanical deformation, can also be applied to need long chemomorphosis and condition very harsh high/low temperature distortion go to carry out experimental study; Dystopy digital volume correlation technique of the present invention avoids the difficulty of original position digital volume correlation technique requirement original position online experiment in a word, greatly expand the application space of digital volume correlation technique, for the widespread use of digital volume correlation technique in Experimental Mechanics creates important impetus.
Description
Technical field
The present invention relates to a kind of dystopy digital volume correlation technique based on image registration, belong to photo-measuring experimental mechanics field.
Background technology
Digital volume correlation technique (English full name: Digital Volume Correlation, abbreviation: DVC) in 1999 by (Bay B K such as the first B.K.Bay by California, USA university, Smith T S, Fyherie D P, et al.Digital volume correlation:Three-dimensional strain mapping using X-raytomography [J] .Experimental Mechanics, 1999, 39 (3): 217 ~ 226) at traditional Digital Image Correlation Method DIC (English full name: Digital Image Correlation, abbreviation: basis DIC) is invented.It is by carrying out correlation computations to the three-dimensional digital image of the interior of articles gathered before and after distortion, obtains each point in sample and obtains shift value, i.e. 3-D displacement field; In position under prerequisite, the 3-D displacement field of object each point has reacted 3 D deformation field, thus achieves the measurement of 3 D deformation and strain.
Can only measure the two dimension distortion of sample surfaces relative to traditional DIC, DVC can measure the distortion of sample interior, and the displacement of measuring is three-dimensional with strain.At present, DVC has become the popular research field in photo-measuring experimental mechanics, and is widely used in the mechanics of materials, structural mechanics, biomechanics etc., is the experimental technique uniquely directly measuring material internal 3 D deformation at present.
The necessary original position of test before and after the distortion of DVC principle mandates, if there is rigid body displacement to exist, then DVC result of calculation both comprised rigid body displacement, comprised deformation displacement again, cannot distinguish.In actual applications, DVC needs to use three-dimensional digital image data.Existing 3 Dimension Image Technique comprises x-ray tomography, gamma ray tomography, and neutron tomography is taken a picture, Laser Scanning Confocal Microscope etc.The difficulty of original position experiment is all there is regardless of any 3 Dimension Image Technique.Such as conventional tomography, the difficulty of its original position experiment is mainly that tomography needs will relatively rotate a circle between sample and radiographic source/detector.Although there are some original position loading tools, such as Chinese invention patent ZL201110163456.6(is based on the original position charger of x-ray tomography), simple loading can only be used for after all.And the original position online experiment of some problem on deformation is very difficult, such as shock-produced deformation, temperature deformation, chemomorphosis etc., are all difficult to carry out at three-dimensional imaging device situ.
Summary of the invention
Goal of the invention: technical matters to be solved by this invention is to provide a kind of dystopy digital volume correlation technique based on image registration.
Summary of the invention: for solving the problems of the technologies described above, the technical solution adopted in the present invention is:
Based on a dystopy digital volume correlation technique for image registration, comprise the steps:
Step 1, is fixed on rigid matrix by testing sample and registration label;
Step 2, carries out first time three-dimensional imaging as a whole to the sample of step 1, registration label and rigid matrix, obtains the 3 d image data G of sample front sample to be measured, registration label and rigid matrix
1(x, y, z);
Step 3, carries out dystopy distortion by sample, keeps registration label and rigid matrix not to be out of shape simultaneously;
Step 4, the registration label be out of shape the sample after dystopy distortion and not have and rigid matrix entirety carry out second time three-dimensional imaging, obtain the 3 d image data G that sample dystopy is out of shape afterwards sample, registration label and rigid matrix
2(x, y, z);
Step 5, by the 3 d image data G of registration label before sample is to be measured
1(x, y, z) and the 3 d image data G after the distortion of sample dystopy
2(x, y, z) carries out three-dimensional digital image registration, obtains 6 rigid motion degree of freedom;
Step 6,6 rigid motion degree of freedom step 5 obtained are to G
1(x, y, z) calculates, and obtains the 3 d image data G simulated
3(x, y, z);
Step 7, by G
2(x, y, z) and G
3(x, y, z) carries out original position digital volume correlation computations, can obtain the 3-D displacement field before and after sample deformations.
Wherein, in step 2 or step 4, what described three-dimensional imaging adopted is x-ray tomography, gamma ray tomography, neutron tomography are taken a picture or any one in Laser Scanning Confocal Microscope.
Wherein, described x-ray tomography comprises medical X-ray tomography, industrial X-ray tomography, micro X-ray tomography or nanometer x-ray tomography.
Wherein, in step 1, described registration label is the material with image contrast.
Wherein, in step 3, described dystopy distortion comprises mechanical deformation, temperature deformation or chemomorphosis.
Wherein, described mechanical deformation comprises employing tensile, compressive, bending, turns round, impacts or coupling scheme.
Beneficial effect: compared to original position digital volume correlation technique, dystopy digital volume correlation technique of the present invention solves a difficult problem for original position online experiment, can the distortion of the various material of dystopy online study and structure, relative to the rigors of original position loading experiment, dystopy loading experiment can relatively easily realize, thus the distortion of various complex loading can be studied, in addition, the present invention can also be applied to various plasticity residual deformation to the distortion under such as various load coupling; Dystopy digital volume correlation technique of the present invention not only can be applied to mechanical deformation, can also be applied to need long chemomorphosis and condition very harsh high/low temperature distortion go to carry out experimental study; Dystopy digital volume correlation technique of the present invention avoids the difficulty of original position digital volume correlation technique requirement original position online experiment in a word, greatly expand the application space of digital volume correlation technique, for the widespread use of digital volume correlation technique in Experimental Mechanics creates important impetus.
Accompanying drawing explanation
Fig. 1 is the principle schematic of the inventive method, wherein, state (1) is the state before sample deformations, state (2) is the state after the distortion of sample dystopy, state (3) is the state before the virtual sample deformations after registration, I is registration label, and II is testing sample, and III is rigid matrix;
Fig. 2 is first time X three-dimensional imaging (x-ray tomography) the 3 d image data G that obtains in the embodiment of the present invention 1
1(x, y, z);
Fig. 3 is the 3 d image data G that in the embodiment of the present invention 1, second time X three-dimensional imaging (x-ray tomography) obtains
2(x, y, z);
Fig. 4 is displacement field along the X direction before and after sample deformations in the embodiment of the present invention 1;
Fig. 5 is displacement field along the Y direction before and after sample deformations in the embodiment of the present invention 1;
Fig. 6 is displacement field along the Z direction before and after sample deformations in the embodiment of the present invention 1.
Embodiment
Below in conjunction with drawings and Examples, technical scheme of the present invention is described in detail.
As shown in Figure 1, the dystopy digital volume correlation technique based on image registration of the present invention, comprises the following steps:
Step 1, is fixed on testing sample II and registration label I on a rigid matrix III, obtains state (1); (this registration label I can adopt the material the same with testing sample II, rigid matrix III will have enough rigidity to ensure can not be out of shape in subsequent step, and triangular fixing not the loosening of testing sample II, registration label I and rigid matrix III is out of shape; )
Step 2, setting experiment parameter, carries out first time X three-dimensional imaging by x-ray tomography method to testing sample II, registration label I and rigid matrix III entirety, obtains the 3 d image data G of state (1)
1(x, y, z); In this step, the tomography test condition of x-ray tomography method setting refers to the accelerating potential, electric current, enlargement factor and the filter plate parameter that set x-ray tomography equipment;
Step 3, carries out dystopy distortion by testing sample II, keeps I and III not to be out of shape simultaneously, obtains state (2); Dystopy distortion in this step can be various mechanical deformation, temperature deformation, chemomorphosis, and mechanical deformation wherein comprises tensile, compressive, bending, turns round, impacts and coupling scheme; Deformation experiment process will guarantee that I and III is not out of shape;
Step 4, carries out second time three-dimensional imaging to testing sample II, registration label I and rigid matrix III entirety, obtains the 3 d image data G under state (2)
2(x, y, z);
Step 5, utilizes the three-dimensional data of registration label I in state (1) and state (2) to carry out three-dimensional digital image registration, obtains 6 rigid motion degree of freedom; Three-dimensional digital image registration in this step can adopt various existing image registration techniques method, the such as method for registering images of feature based object, and the various method for registering images based on gray scale;
Step 6, by 6 the rigid motion degree of freedom obtained in step 5 to G
1(x, y, z) calculates the 3 d image data G obtaining virtual state (3)
3(x, y, z);
Step 7, to G
2(x, y, z) and G
3(x, y, z) carries out original position digital volume correlation computations, namely to G
1(x, y, z) and G
2the dystopy digital volume correlation computations of (x, y, z), the original position digital volume correlation computations in this step can adopt various existing digital volume Related Computational Methods (DVC calculates and is digital volume correlation computations).
Composition graphs 1 ~ 6, is further described method of the present invention, and embodiment 1 is the shock-produced deformation research experiment of foamed aluminium:
Step 1, the commercial foam aluminium of purchase is cut off into 40mm × 40mm × 10mm fritter as testing sample II, using the fritter foamed aluminium of several millimeters as registration label I, select metal aluminum blocks as rigid matrix III, be fixed on rigid matrix III with epoxy resin by testing sample II and registration label I, this is state (1);
Step 2, setting x-ray tomography experiment parameter (accelerating potential 195 kilovolts, accelerate 0.37 milliampere, electric current, enlargement factor 2.93 times, every width projects 1 second Measuring Time), first time x-ray tomography imaging is carried out to I, II, III entirety, obtains the 3 d image data G of state (1)
1(x, y, z), as shown in Figure 2;
Step 3, testing sample II is carried out ball falling impact deformation experiment (falling sphere weight 175.78 grams, falling sphere speed 4.02 metre per second (m/s)), falling sphere experimentation will guarantee that I and III is not out of shape; This is state (2);
Step 4, utilizes the x-ray tomography experiment parameter identical with step 2 to carry out second time three-dimensional imaging to I, II, III entirety, obtains the 3 d image data G of state (2)
2(x, y, z), as shown in Figure 3;
Step 5, utilizes the three-dimensional data of I in state (1) and state (2) to carry out three-dimensional digital image registration, with the method for registering images based on gray scale, obtaining 6 rigid motion degree of freedom is (-8.42 ,-1.80,1.38,-0.05,0.57,0.20);
Step 6, by the degree of freedom (-8.42 ,-1.80,1.38 ,-0.05,0.57,0.20) obtained in step 5 to G
1(x, y, z) registration calculates the 3 d image data G obtaining virtual state (3)
3(x, y, z);
Step 7, to G
2(x, y, z) and G
3(x, y, z) carries out original position digital volume correlation computations, namely to G
1(x, y, z) and G
2the dystopy digital volume correlation computations of (x, y, z), can obtain the 3-D displacement field that sample II is out of shape front and back, as shown in figures 4-6.
Obviously, above-described embodiment is only for example of the present invention is clearly described, and is not the restriction to embodiments of the present invention.For those of ordinary skill in the field, can also make other changes in different forms on the basis of the above description.Here exhaustive without the need to also giving all embodiments.And these belong to spirit institute's apparent change of extending out of the present invention or change and are still among protection scope of the present invention.
Claims (6)
1., based on a dystopy digital volume correlation technique for image registration, it is characterized in that: comprise the steps:
Step 1, is fixed on rigid matrix by sample and registration label;
Step 2, carries out first time three-dimensional imaging as a whole to sample, registration label and rigid matrix, obtains the 3 d image data G of sample front sample to be measured, registration label and rigid matrix
1(x, y, z);
Step 3, carries out dystopy distortion to sample, keeps registration label and rigid matrix not to be out of shape simultaneously;
Step 4, the registration label be out of shape the sample after dystopy distortion and not have and rigid matrix entirety carry out second time three-dimensional imaging, obtain the 3 d image data G that sample dystopy is out of shape afterwards sample, registration label and rigid matrix
2(x, y, z);
Step 5, by the 3 d image data G of registration label before sample is to be measured
1(x, y, z) and the 3 d image data G after the distortion of sample dystopy
2(x, y, z) carries out three-dimensional digital image registration, obtains 6 rigid motion degree of freedom;
Step 6,6 rigid motion degree of freedom step 5 obtained are to G
1(x, y, z) calculates, and obtains the 3 d image data G simulated
3(x, y, z);
Step 7, by G
2(x, y, z) and G
3(x, y, z) carries out original position digital volume correlation computations, can obtain the 3-D displacement field before and after sample deformations.
2. the dystopy digital volume correlation technique based on image registration according to claim 1, it is characterized in that: in step 2 or step 4, what described three-dimensional imaging adopted is x-ray tomography, gamma ray tomography, neutron tomography take a picture or any one in Laser Scanning Confocal Microscope.
3. the dystopy digital volume correlation technique based on image registration according to claim 2, is characterized in that: described x-ray tomography comprises medical X-ray tomography, industrial X-ray tomography, micro X-ray tomography or nanometer x-ray tomography.
4. the dystopy digital volume correlation technique based on image registration according to claim 1, it is characterized in that: in step 1, described registration label is the material with image contrast.
5. the dystopy digital volume correlation technique based on image registration according to claim 1, is characterized in that: in step 3, and described dystopy distortion comprises mechanical deformation, temperature deformation or chemomorphosis.
6. the dystopy digital volume correlation technique based on image registration according to claim 5, is characterized in that: described mechanical deformation comprises employing tensile, compressive, bending, turns round, impacts or coupling scheme.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410003602.2A CN103743621B (en) | 2014-01-03 | 2014-01-03 | A kind of dystopy digital volume correlation technique based on image registration |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410003602.2A CN103743621B (en) | 2014-01-03 | 2014-01-03 | A kind of dystopy digital volume correlation technique based on image registration |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103743621A CN103743621A (en) | 2014-04-23 |
| CN103743621B true CN103743621B (en) | 2015-10-07 |
Family
ID=50500659
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410003602.2A Expired - Fee Related CN103743621B (en) | 2014-01-03 | 2014-01-03 | A kind of dystopy digital volume correlation technique based on image registration |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103743621B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107271460B (en) * | 2017-04-20 | 2020-07-31 | 东南大学 | Quantitative characterization method for spatial distribution of internal moisture saturation change of porous material |
| CN115511881B (en) * | 2022-11-08 | 2023-04-25 | 南京航空航天大学 | Correlation tuning method in digital image correlation and digital font correlation |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010169590A (en) * | 2009-01-23 | 2010-08-05 | Kobe Steel Ltd | Thermal deformation measurement method and apparatus |
| TW201140494A (en) * | 2010-05-03 | 2011-11-16 | Nat Univ Tsing Hua | Calibration method of three dimensional digital image correlation (3D-DIC) |
| CN101980304A (en) * | 2010-10-20 | 2011-02-23 | 北京大学 | Three-dimensional digital volume image distortion measuring method |
| CN202177370U (en) * | 2010-12-20 | 2012-03-28 | 昆明理工大学 | Double-microscopic strain measuring device of digital speckle |
| US8803943B2 (en) * | 2011-09-21 | 2014-08-12 | National Applied Research Laboratories | Formation apparatus using digital image correlation |
| CN103076347B (en) * | 2012-12-27 | 2014-10-29 | 东南大学 | Measurement method for mechanical injury of brittle material based on in-situ X-ray tomography |
-
2014
- 2014-01-03 CN CN201410003602.2A patent/CN103743621B/en not_active Expired - Fee Related
Also Published As
| Publication number | Publication date |
|---|---|
| CN103743621A (en) | 2014-04-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Elnasri et al. | Shock enhancement of cellular structures under impact loading: Part I Experiments | |
| Rossi et al. | Identification of plastic constitutive parameters at large deformations from three dimensional displacement fields | |
| Pan et al. | Full-field transient 3D deformation measurement of 3D braided composite panels during ballistic impact using single-camera high-speed stereo-digital image correlation | |
| Shao et al. | Calibration of stereo-digital image correlation for deformation measurement of large engineering components | |
| Hu et al. | Internal deformation measurement and force chain characterization of mason sand under confined compression using incremental digital volume correlation | |
| McDonald et al. | In situ three-dimensional X-ray microtomography of an auxetic foam under tension | |
| CN103822581B (en) | A kind of irregularly shaped object volume measuring method based on compressed sensing | |
| Guo et al. | Digital image correlation for large deformation applied in Ti alloy compression and tension test | |
| JP2008096377A (en) | Method of measuring deformation characteristic, and instrument therefor | |
| Wang et al. | Measurement of local and volumetric deformation in geotechnical triaxial testing using 3D-digital image correlation and a subpixel edge detection algorithm | |
| Wang et al. | Mesh-based digital image correlation method using non-uniform elements for measuring displacement fields with high gradient | |
| Smyl et al. | Coupled digital image correlation and quasi-static elasticity imaging of inhomogeneous orthotropic composite structures | |
| CN103743621B (en) | A kind of dystopy digital volume correlation technique based on image registration | |
| CN101980304A (en) | Three-dimensional digital volume image distortion measuring method | |
| Henkel et al. | Crack observation methods, their application and simulation of curved fatigue crack growth | |
| Kobayashi et al. | Three-dimensional evaluation of the compression and recovery behavior in a flexible graphite sheet by synchrotron radiation microtomography | |
| Dinh et al. | Digital image correlation for small strain measurement in deformable solids and geomechanical structures | |
| CN103745467B (en) | A kind of three-dimensional image registration method based on digital volume correlation | |
| CN104122205A (en) | Method for measuring residual stress by using uplift amount of indentation | |
| Ren et al. | Temperature effect on granite strain burst based on binocular stereovision technology | |
| CN105737769A (en) | Processing method of digital volume related algorithm on boundary problem | |
| Felling et al. | A New Video Extensometer System for Testing Materials Undergoing Severe Plastic Deformation | |
| Wan et al. | Expanded digital volume correlation for ex situ applications | |
| Yuan et al. | Effect of passive pile on 3D ground deformation and on active pile response | |
| Le Blanc et al. | Image correlation applied to single crystal plasticity experiments and comparison to strain gage data |
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 | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20151007 Termination date: 20210103 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |