Faster Window Fourier Transform filters for fringe pattern analysis

被引：0

作者：

Nam, Le Tran Hoai ^{[1
]}

Qian Kemao ^{[1
]}

机构：

[1] Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore

来源：

NINTH INTERNATIONAL SYMPOSIUM ON LASER METROLOGY, PTS 1 AND 2 | 2008年 / 7155卷

关键词：

windowed Fourier Transform; windowed Fourier filtering; windowed Fourier ridges; speckle noise; real-time;

D O I：

10.1117/12.814529

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

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.

引用

页数：10

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