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Proceedings Paper

Wavelet moment invariants based on multiresolution image analysis
Author(s): Hong Pan; LiangZheng Xia
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Paper Abstract

A set of new invariant moment descriptors - wavelet moment invariants, which combine wavelet multiresolution analysis and moments invariants target recognition method, are proposed in this paper and their invariance also have been proved. Wavelet moment invariants take both advantages of the wavelet inherent property of multiresolution analysis and moment invariants quality of invariant to translation, scaling changes and rotation. Furthermore, studies of the effect of using different wavelet functions and their orders are carried out. Experimental results show that wavelet moment invariants derived from the wavelet function having proper vanishing moments, symmetry and compact support have the best discrimination performance.

Paper Details

Date Published: 25 September 2003
PDF: 6 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538824
Show Author Affiliations
Hong Pan, Southeast Univ. (China)
LiangZheng Xia, Southeast Univ. (China)

Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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