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Proceedings Paper

Content-based texture image retrieval using cepstral features
Author(s): Xue-Wen Chen; David P. Casasent; Mohammad A. Karim; Mohammad S. Alam
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Paper Abstract

A new feature extraction algorithm is proposed for content based image retrieval. The new features can capture both local and global information at high speed. Thus, it is suitable for large-scale image retrieval. We demonstrate both texture image retrieval and real-world scene retrieval. Our results show that the cepstral based texture features provide an efficient and effective tool for content-based image retrieval.

Paper Details

Date Published: 6 August 2003
PDF: 10 pages
Proc. SPIE 5106, Optical Pattern Recognition XIV, (6 August 2003); doi: 10.1117/12.501425
Show Author Affiliations
Xue-Wen Chen, California State Univ. (United States)
David P. Casasent, Carnegie Mellon Univ. (United States)
Mohammad A. Karim, City College of New York (United States)
Mohammad S. Alam, Univ. of South Alabama (United States)


Published in SPIE Proceedings Vol. 5106:
Optical Pattern Recognition XIV
David P. Casasent; Tien-Hsin Chao, Editor(s)

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