Presentation 2004/1/15
Indexing and Retrieval of Textile-Curtain Database Using Wavelet Domain Features
M. K. BASHAR, N. OHNISHI, H. KUDO, T. MATSUMOTO, Y. TAKEUCHI,
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Abstract(in English) Handling a large amount of images in textile and clothing industry is an important task, which calls for the development of an effective retrieval system. However, a limited number of works have been observed in the literature. Most of which emphasizes on color disregarding typical basic patterns which are perceptually more meaningful. Some typical patterns are horizontal, vertical, cross stripes, leaves and flowers. In this study, we propose an indexing and retrieval system based on wavelet domain features namely Directionality, Regularity and Symmetry, which uses correlation and edge information of the wavelet subbands in the two major axes (horizontal and vertical). In order to reduce searching time, we first categorized various patterns using supervised LVQ neural network. Then group representative prototypes are formed averaging all feature vectors in a particular group. For a typical query, the query key is first compared with a few group prototypes to determine the expected category. Then it undergoes comparison within that particular group and retrieves relevant images. User can also interact to obtain correct category. An experiment with a set of curtain images shows the potentiality of the proposed approach compared to conventional wavelet energy feature.
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Keyword(in English) Retrieval / texture / categorization / wavelet domain perceptual features / LVQ Network
Paper # PRMU2003-191
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Conference Information
Committee PRMU
Conference Date 2004/1/15(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Indexing and Retrieval of Textile-Curtain Database Using Wavelet Domain Features
Sub Title (in English)
Keyword(1) Retrieval
Keyword(2) texture
Keyword(3) categorization
Keyword(4) wavelet domain perceptual features
Keyword(5) LVQ Network
1st Author's Name M. K. BASHAR
1st Author's Affiliation Dept. of Information Engineering, Nagoya University()
2nd Author's Name N. OHNISHI
2nd Author's Affiliation Graduate School of Information Science, Nagoya University
3rd Author's Name H. KUDO
3rd Author's Affiliation Graduate School of Information Science, Nagoya University
4th Author's Name T. MATSUMOTO
4th Author's Affiliation Graduate School of Information Science, Nagoya University
5th Author's Name Y. TAKEUCHI
5th Author's Affiliation Graduate School of Information Science, Nagoya University
Date 2004/1/15
Paper # PRMU2003-191
Volume (vol) vol.103
Number (no) 584
Page pp.pp.-
#Pages 6
Date of Issue