Texture classification based on evolution feature selection

Hong Zheng

doi:10.1117/12.441639

24 September 2001 Texture classification based on evolution feature selection

Hong Zheng

Proceedings Volume 4554, Object Detection, Classification, and Tracking Technologies; (2001) https://doi.org/10.1117/12.441639
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

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.

Citation Download Citation

Hong Zheng "Texture classification based on evolution feature selection", Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); https://doi.org/10.1117/12.441639

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