Use of Matlab filtering techniques in digital speckle pattern interferometry

Vadakke Matham Murukeshan; Lai Yin Fei; V. Krishnakumar; Seng Lin Ong; Anand Krishna Asundi

doi:10.1117/12.447356

30 October 2001 Use of Matlab filtering techniques in digital speckle pattern interferometry

Vadakke Matham Murukeshan, Lai Yin Fei, V. Krishnakumar, Seng Lin Ong, Anand Krishna Asundi

Proceedings Volume 4596, Advanced Photonic Sensors and Applications II; (2001) https://doi.org/10.1117/12.447356
Event: International Symposium on Photonics and Applications, 2001, Singapore, Singapore

Abstract

In interferometric fringe pattern analysis, specular and speckle fringe patterns are the two main divisions. While specular fringes are characterized by quality fringes with high spatial resolution, speckle (that obtains due to the diffuse scattering of the coherent radiation from an optically rough surface) fringe patterns, which contain high frequency carrier (as noise), are characterized by noisy fringes. This paper concentrates on this aspect and the matlab based filtering methods to improve quality of speckle fringe patterns by developing the appropriate software. Further, the newly developed software Macurv will be presented which can give the second order derivative (curvature) fringe information . A software with several functions is written using Matlab. The objective of the software is to provide a more effective way for post-processing of the speckle interferometric fringes. The algorithm and functions of the developed software Macurv will be explained.

Citation Download Citation

Vadakke Matham Murukeshan, Lai Yin Fei, V. Krishnakumar, Seng Lin Ong, and Anand Krishna Asundi "Use of Matlab filtering techniques in digital speckle pattern interferometry", Proc. SPIE 4596, Advanced Photonic Sensors and Applications II, (30 October 2001); https://doi.org/10.1117/12.447356

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KEYWORDS

Fringe analysis

Image filtering

MATLAB

Software development

Digital filtering

Speckle

Fourier transforms

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