Paper
6 August 2003 Content-based texture image retrieval using cepstral features
Author Affiliations +
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xue-Wen Chen, David P. Casasent, Mohammad A. Karim, and Mohammad S. Alam "Content-based texture image retrieval using cepstral features", Proc. SPIE 5106, Optical Pattern Recognition XIV, (6 August 2003); https://doi.org/10.1117/12.501425
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KEYWORDS
Image retrieval

Feature extraction

Content based image retrieval

Databases

Convolution

Computer engineering

Gaussian filters

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