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Proceedings Paper

Faster window Fourier transform filters for fringe pattern analysis
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Paper Abstract

Windowed Fourier Transform (WFT) filters, including Windowed Fourier Filtering (WFF) and Windowed Fourier Ridges (WFR), have recently been proven to be effective in analyzing fringes affected from speckle as well as various kinds of noise. These filters deliver high quality results since they process in the windowed Fourier domain which is more robust to noise than the spatial domain. However WFT is relatively slow because of convolution or Fourier transform needs to be executed for many times. In this paper, a revised version of WFT filters are proposed that reduces execution time yet offers almost the same result. Experiments are carried out to backup the theory.

Paper Details

Date Published: 3 October 2008
PDF: 10 pages
Proc. SPIE 7155, Ninth International Symposium on Laser Metrology, 71550T (3 October 2008); doi: 10.1117/12.814529
Show Author Affiliations
Le Tran Hoai Nam, Nanyang Technological Univ. (Singapore)
Kemao Qian, Nanyang Technological Univ. (Singapore)

Published in SPIE Proceedings Vol. 7155:
Ninth International Symposium on Laser Metrology
Chenggen Quan; Anand Asundi, Editor(s)

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