Optical fringe pattern processing using empirical mode decomposition based algorithms

Maciej Trusiak; Krzysztof Patorski

doi:10.1109/cleoe-iqec.2013.6801239

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Optical fringe pattern processing using empirical mode decomposition based algorithms

Maciej Trusiak Krzysztof Patorski

Year: 2013 Vol: 19 Pages: 1-1

DOI: 10.1109/cleoe-iqec.2013.6801239

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Abstract

In the paper we present two fringe pattern processing techniques based on the empirical mode decomposition (EMD) method. Recently our group has successfully employed the fast and adaptive EMD (FABEMD) method for studying the moiré phenomenon and low quality fringe pattern adaptive enhancement. This contribution deals with further developments of our previous works.

Keywords:

Hilbert–Huang transform Computer science Mode (computer interface) Algorithm Decomposition Moiré pattern Artificial intelligence Pattern recognition (psychology) Computer vision

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Optical measurement and interference techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Optical Coherence Tomography Applications

Physical Sciences → Engineering → Biomedical Engineering

Optical fringe pattern processing using empirical mode decomposition based algorithms

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