Application of wavelet transform and image morphology in processing vibration speckle interferogram for automatic analysis

Rajesh Kumar; Dibya Prakash Jena; Chandra Shakher

doi:10.1117/12.889449

27 May 2011 Application of wavelet transform and image morphology in processing vibration speckle interferogram for automatic analysis

Rajesh Kumar, Dibya Prakash Jena, Chandra Shakher

Author Affiliations +

Proceedings Volume 8082, Optical Measurement Systems for Industrial Inspection VII; 80821Y (2011) https://doi.org/10.1117/12.889449
Event: SPIE Optical Metrology, 2011, Munich, Germany

Abstract

In automatic analysis of the time-average digital speckle interferogram, the great challenge is to get proper intensity variation between different fringes and smoothness in the line profile of intensity distribution, so as it approaches the governing Bessel function/map. An image processing scheme based on wavelet denoising and morphological operation has been investigated which is very effective in reducing speckle index, width reduction of the bright fringes and in getting proper line profile for intensity distribution. Improvement in signal to noise ratio (i.e. decrease in speckle index) upto 28 times has been observed.

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Rajesh Kumar, Dibya Prakash Jena, and Chandra Shakher "Application of wavelet transform and image morphology in processing vibration speckle interferogram for automatic analysis", Proc. SPIE 8082, Optical Measurement Systems for Industrial Inspection VII, 80821Y (27 May 2011); https://doi.org/10.1117/12.889449

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