A ne invariant classi cation and retrieval of texture images
نویسندگان
چکیده
In this paper, we propose a new method of extracting a ne invariant texture signatures for content-based a ne invariant image retrieval (CBAIR). The algorithm discussed in this paper exploits the spectral signatures of texture images. Based on spectral representation of a ne transform, anisotropic scale invariant signatures of orientation spectrum distributions are extracted. Peaks distribution vector (PDV) obtained from signature distributions captures texture properties invariant to a ne transform. The PDV is used to measure the similarity between textures. Extensive experimental results are included to demonstrate the performance of the method in texture classi cation and CBAIR. ? 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
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