Specific features for the analysis of fringe images
Author:
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Engineering,Atomic and Molecular Physics, and Optics
Reference27 articles.
1. Application of neural networks and knowledge-based systems for automatic identification of fault-indicating fringe patterns
2. H. Zhi and R. B. Johansson , “Interpretation and classification of fringe patterns,” in11th Int. Conf. Pattern Recognition, Conf. on Image, Speech and Signal Analysis, Vol. 3, 105–108, 1 APR (1992).
3. Fault detection and feature analysis in interferometric fringe patterns by the application of wavelet filters in convolution processors
4. Fault detection and feature analysis in interferometric fringe patterns by the application of wavelet filters in convolution processors
5. Wavelet transform for detection of partial fringe patterns induced by defects in nondestructive testing of holographic interferometry and electronic speckle pattern interferometry
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