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Affine invariant classification and retrieval of texture images

✍ Scribed by Jianguo Zhang; Tieniu Tan

Publisher: Elsevier Science
Year: 2003
Tongue: English
Weight: 710 KB
Volume: 36
Category: Article
ISSN: 0031-3203
DOI: 10.1016/s0031-3203(02)00099-7

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✦ Synopsis

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 classiÿcation and CBAIR.

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