| a (2007) | |||||||||||||||||
Abstract | |||||||||||||||||
| In several applications of interferogram analysis, e.g. automated nondestructive testing, it is necessary to detect irregular interference phase distributions or to compare interference phase distributions with each other. For that purpose it is useful to represent the essential information of phase distributions by characteristic features. We propose features which can be extracted both from interferograms as well as from phase distributions. For feature extraction we developed new image processing methods analyzing the local structure of gray-level images. The feature extraction is demonstrated with examples of a cantilever beam and a pressure vessel using holographic interferometry. Finally we show the use of the features for defect detection and phase distribution comparison. | |||||||||||||||||
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