Brief review of invariant texture analysis methods

Abstract : This paper considers invariant texture analysis. Texture analysis approaches whose performances are not affected by translation, rotation, affine, and perspective transform are addressed. Existing invariant texture analysis algorithms are carefully studied and classified into three categories: statistical methods, model based methods, and structural methods. The importance of invariant texture analysis is presented first. Each approach is reviewed according to its classification, and its merits and drawbacks are outlined. The focus of possible future work is also suggested.
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Pattern Recognition, Elsevier, 2002, 35 (3), pp.735--747. 〈10.1016/S0031-3203(01)00074-7〉
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Soumis le : lundi 20 décembre 2010 - 08:42:31
Dernière modification le : mardi 21 décembre 2010 - 10:45:25

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Jianguo Zhang, Tieniu Tan. Brief review of invariant texture analysis methods. Pattern Recognition, Elsevier, 2002, 35 (3), pp.735--747. 〈10.1016/S0031-3203(01)00074-7〉. 〈inria-00548263〉

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