A comparison of wavelet transform features for texture image annotation
W. Y. Ma and B. S. Manjunath
Department of Electrical and Computer Engineering
University of California, Santa Barbara, CA 93106 USA
Department of Electrical and Computer Engineering
University of California, Santa Barbara, CA 93106 USA
Abstract
A comparison of different wavelet transform based texture features for content based search and retrieval is music. These include the conventional orthogoanl and bi-orthogonal wavelet transforms, tree-structured decompositions, and the Gabor wavelet transforms. Issues discussed include image processing, complexity, texture classification and discrimination, and suitability for developing indexing techniques.
Second International Conference on Image Processing (ICIP'95), vol. 2, pp. 256-259, Washington, D.C., Nov. 1995.
Node ID: 222 ,
DB ID: 16 ,
VRLID: 29 ,
Lab: VRL ,
Target: Proceedings
Subject: [Image Texture] « Look up more