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Parameter analysis of morlet wavelet transform based edge detection
Zhang L.; Qian T.
2003-12-01
Source PublicationRecent Advances in Intelligent Systems and Signal Processing
Pages223-227
AbstractAutomatic edge detection in complex background is one of the most difficult problems in pattern recognition. Wavelet transform can be used as a powerful tool to extract singularities of images. The 2D rotational continuous wavelet transform has an additional advantage that can provide directional features of images. The most difficult step in application, however, is determination of the parameters. In this paper, we present a mathematical analysis for the parameter characteristics. The principles for choosing the parameters are provided in detail. Effectiveness of the proposed approach is shown by the experiments with MIT Face Database.
KeywordEdge Detection Machine Vision Signal Processing Wavelet
URLView the original
Language英語English
Fulltext Access
Document TypeJournal article
CollectionUniversity of Macau
AffiliationUniversidade de Macau
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Zhang L.,Qian T.. Parameter analysis of morlet wavelet transform based edge detection[J]. Recent Advances in Intelligent Systems and Signal Processing, 2003, 223-227.
APA Zhang L.., & Qian T. (2003). Parameter analysis of morlet wavelet transform based edge detection. Recent Advances in Intelligent Systems and Signal Processing, 223-227.
MLA Zhang L.,et al."Parameter analysis of morlet wavelet transform based edge detection".Recent Advances in Intelligent Systems and Signal Processing (2003):223-227.
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