Abstract
In this survey, the advances in rotation invariant texture classification techniques are discussed. The overall evolution of this niche from nascent to reasonably mature field is studied. It is very difficult to include all the works in such a paper; an attempt is made to include representative works of major methods. Markov Random Field based schemes are computationally involved. Methods based on wavelet and multichannel filtering are used for rotation invariant texture classification. Visual information retrieval system requires a robust and computationally less involved rotation invariant texture features. This area would be pursued vigorously in near future.
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