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Proceedings Paper

Texture classification based on evolution feature selection
Author(s): Hong Zheng
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Paper Abstract

Image textures have been playing an important role in image recognition and interpretation. The selection of image texture features is the key part to classify image objects. An evolution approach for texture image feature selection is prosed in this paper. The approach uses evolution algorithms as the primary search component. Based on selected texture features, a fuzzy cluster method is used for texture image classification. Experimental result on color aerial images show the feasibility of the proposed method.

Paper Details

Date Published: 24 September 2001
PDF: 5 pages
Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); doi: 10.1117/12.441639
Show Author Affiliations
Hong Zheng, Wuhan Univ. (Australia)

Published in SPIE Proceedings Vol. 4554:
Object Detection, Classification, and Tracking Technologies
Jun Shen; Sharatchandra Pankanti; Runsheng Wang, Editor(s)

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