期刊
OPTICS AND LASERS IN ENGINEERING
卷 77, 期 -, 页码 54-63出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.optlaseng.2015.06.012
关键词
Fringe analysis; Wavelet transform; Windowed Fourier transform; Local frequency analysis
类别
资金
- EVAPORATION - European Space Agency
- HEAT TRANSFER - European Space Agency
- Belgian Science Policy Office PRODEX Programme
- Interuniversity Attraction Poles Programme [IAP 7/38 MicroMAST]
- Belgian Science Policy Office
- Fonds de la Recherche Scientifique - FNRS
When analysing fringe images, wavelet and windowed Fourier ridge algorithms allow to extract phase and local frequency even in the presence of considerable noise levels. However, the precision of the local frequency information is often limited by the relatively small number of analysing frequencies used in practice. This on account of the direct trade-off between frequency precision and processing time, which can become prohibitive in some cases. In the present paper, a method is shown capable of reducing the processing time by a factor 3 for the wavelet ridge technique and by up to 15 times for the windowed Fourier ridge algorithm. This is accomplished by a 3-point Gaussian ridge interpolation. This approach is also shown to lead to an improved frequency precision for moderate noise levels. (c) 2015 Elsevier Ltd. All rights reserved.
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