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Affine invariant classification and retrieval of texture images
Zhang, JG; Tan, TN
AbstractIn this paper, we propose a new method of extracting affine invariant texture signatures for content-based affine invariant image retrieval (CBAIR). The algorithm discussed in this paper exploits the spectral signatures of texture images. Based on spectral representation of affine transform, anisotropic scale invariant signatures of orientation spectrum distributions are extracted. Peaks distribution vector (PDV) obtained from signature distributions captures texture properties invariant to affine 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 classification and CBAIR. (C) 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
KeywordAffine Invariants Texture Signature Invariant Retrieval Invariant Texture Analysis Texture Spectrum
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000179732400007
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Document Type期刊论文
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Zhang, JG,Tan, TN. Affine invariant classification and retrieval of texture images[J]. PATTERN RECOGNITION,2003,36(3):657-664.
APA Zhang, JG,&Tan, TN.(2003).Affine invariant classification and retrieval of texture images.PATTERN RECOGNITION,36(3),657-664.
MLA Zhang, JG,et al."Affine invariant classification and retrieval of texture images".PATTERN RECOGNITION 36.3(2003):657-664.
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