COM Component Based on Matlab Algorithm for Speckle Processing

Rong Lu Zhang; Fu Sheng Yu; Tao Li; Bin Bin Jiao; Gui Lin Du

doi:10.4028/www.scientific.net/AMR.683.855

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 683COM Component Based on Matlab Algorithm for...

COM Component Based on Matlab Algorithm for Speckle Processing

Abstract:

As a non-contract optical measurement method in solid mechanics, the digital speckle correlation method (DSCM) has already been recognized as an excellent method for determining the surface deformation field in materials because of its outstanding features. In-plane displacement fields at the surface of objects under load are abstracted by using this method in this paper. And the corresponding maps of displacement fields are drawn to show deformation. The basic principle and mathematical model of gradient-based subpixel registration are briefly introduced for measuring subpixel displacement. COM component of this method is generated by using matlab7.1 through images of laser speckles. The COM component is called by Visual C++6.0 and the stand-alone application is generated. It is becoming easier to deal with image in Visual C++ by using this method. Then more time and energy will be spent on the algorithm. The development cycle of the algorithm is speeded up and efficiency of the application is improved.

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Periodical:

Advanced Materials Research (Volume 683)

Pages:

855-858

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.683.855

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Online since:

April 2013

Authors:

Rong Lu Zhang, Fu Sheng Yu, Tao Li, Bin Bin Jiao, Gui Lin Du

Keywords:

COM Component, Gradient Method, Laser Speckle, MATLAB, Visual C++6.0

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References

[1] W. H. Peter, W. F. Ranson, Digital imaging technique in experimental stress analysis, J. Opt. Eng. 21(1982)427-431.

Google Scholar

[2] Yamaguchi I., A laser-speckle strain gange, J. journal of Physics(E). 14(1981)1270-1273.

Google Scholar

[3] Davis C Q, Freeman D M., Statistics of subpixel registration algorithms based on spatiotemporal gradients or block matching, J. Opt Eng. 37(1998)1290-1298.

DOI: 10.1117/1.601966

Google Scholar

[4] Zhou Peng, Goodson Kenneth E., Subpixel displacement and deformation gradient measurement using digital image/speckle correlation, J. Opt. Eng. 40(2001)1613-1620.

DOI: 10.1117/1.1387992

Google Scholar

[5] Zhang J, Jin G C., Application of an improved subpixel registration algorithm on digital speckle correlation measurement, J. Optics & Laser Technology. 35 (2003) 533-542.

DOI: 10.1016/s0030-3992(03)00069-0

Google Scholar

[6] Huang J M, Wu Y Q, Xing X S., A research of mixed programming between VC++ and Matlab, J. Computer Development & Applications. 21(2008) 38-41. (In Chinese).

Google Scholar