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Proceedings Paper

An efficient method for image texture analysis
Author(s): Umasankar Kandaswamy; Donald A. Adjeroh; M. C. Lee
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Paper Abstract

We address the problem of efficiency in image texture analysis. Motivated by the statistical occupancy model, we introduce the notion of patch re-occurrences. Using the re-occurrences, we propose the use of approximate textural features in image analysis. We describe how the proposed approximate features can be extracted for Gabor filters, a popular texture analysis method. Preliminary results on image texture classification show that the proposed method can provide an improved efficiency in the processing, without introducing any significant degradation in the classification results.

Paper Details

Date Published: 11 November 2004
PDF: 8 pages
Proc. SPIE 5605, Intelligent Systems in Design and Manufacturing V, (11 November 2004); doi: 10.1117/12.580286
Show Author Affiliations
Umasankar Kandaswamy, West Virginia Univ. (United States)
Donald A. Adjeroh, West Virginia Univ. (United States)
M. C. Lee, Chinese Univ. of Hong Kong (Hong Kong China)


Published in SPIE Proceedings Vol. 5605:
Intelligent Systems in Design and Manufacturing V
Bhaskaran Gopalakrishnan, Editor(s)

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