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Brief review of invariant texture analysis methods

✍ Scribed by Jianguo Zhang; Tieniu Tan

Publisher: Elsevier Science
Year: 2002
Tongue: English
Weight: 248 KB
Volume: 35
Category: Article
ISSN: 0031-3203
DOI: 10.1016/s0031-3203(01)00074-7

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✦ Synopsis

This paper considers invariant texture analysis. Texture analysis approaches whose performances are not a ected by translation, rotation, a ne, and perspective transform are addressed. Existing invariant texture analysis algorithms are carefully studied and classiÿed into three categories: statistical methods, model based methods, and structural methods. The importance of invariant texture analysis is presented ÿrst. Each approach is reviewed according to its classiÿcation, and its merits and drawbacks are outlined. The focus of possible future work is also suggested.

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