Image indexing using moments and wavelets

TitleImage indexing using moments and wavelets
Publication TypeJournal Article
Year of Publication1996
AuthorsMandal, M. K., T. Aboulnasr, and S. Panchanathan
JournalConsumer Electronics, IEEE Transactions on
Volume42
Pagination557 -565
Date Publishedaug.
ISSN0098-3063
Keywordscolor images, complexity, computational complexity, directional information, histogram comparison, image coding, image indexing, image representation, indexing, information retrieval, Legendre polynomials, orthogonal Legendre moments, representation, visual databases, wavelet transforms, wavelet-based image coder, wavelets
Abstract

Histogram comparison is a popular technique for image and video indexing. The complexity of the technique can be reduced by representing the histogram by its moments. In this paper, we propose two techniques to improve the performance of the basic histogram/moment-based technique. First, we propose to use orthogonal Legendre moments for representing histograms. Since Legendre moments are orthogonal, they provide superior indexing performance compared to regular moments at a similar complexity. Secondly, we propose to compare the histograms of wavelet coefficients at different scales. The wavelet coefficients provide important directional information, and hence improve the performance of the basic histogram-based technique. The proposed scheme can be easily extended to color images and also be integrated into a wavelet-based image coder

URLhttp://dx.doi.org/10.1109/30.536156
DOI10.1109/30.536156

a place of mind, The University of British Columbia

Electrical and Computer Engineering
2332 Main Mall
Vancouver, BC Canada V6T 1Z4
Tel +1.604.822.2872
Fax +1.604.822.5949
Email:

Emergency Procedures | Accessibility | Contact UBC | © Copyright 2020 The University of British Columbia