Partial-differential-equation-based coherence-enhancing denoising for fringe patterns

Haixia Wang; Kemao Qian; Wenjing Gao; Feng Lin; Hock Soon Seah

doi:10.1117/12.839214

24 August 2009 Partial-differential-equation-based coherence-enhancing denoising for fringe patterns

Haixia Wang, Kemao Qian, Wenjing Gao, Feng Lin, Hock Soon Seah

Proceedings Volume 7375, ICEM 2008: International Conference on Experimental Mechanics 2008; 73752E (2009) https://doi.org/10.1117/12.839214
Event: International Conference on Experimental Mechanics 2008 and Seventh Asian Conference on Experimental Mechanics, 2008, Nanjing, China

Abstract

Fringe patterns produced by electronic speckle pattern interferometry (ESPI) are evaluated to measure the deformation on object surfaces. Noise is one of the key problems affecting further processing of the fringe patterns and reduces the final measurement quality. This paper presents a partial differential equations (PDEs) based coherence enhancing denoising model to reduce the noise, enhance the flow-like structure and improve the image quality of fringe patterns. Experimental results show that this filter is flexible and capable of removing most of the noise in ESPI fringe patterns.

Citation Download Citation

Haixia Wang, Kemao Qian, Wenjing Gao, Feng Lin, and Hock Soon Seah "Partial-differential-equation-based coherence-enhancing denoising for fringe patterns", Proc. SPIE 7375, ICEM 2008: International Conference on Experimental Mechanics 2008, 73752E (24 August 2009); https://doi.org/10.1117/12.839214

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