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New texture signatures and their use in rotation invariant texture classification

New texture signatures and their use in rotation invariant texture classification

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Original languageEnglish
Title of host publicationProceedings of Texture 2002
Subtitle of host publicationthe 2nd international workshop on texture analysis and synthesis with ECCV 2002
EditorsMike Chantler
Place of PublicationEdinburgh
PublisherHeriot-Watt University
Pages157-162
Number of pages6
ISBN (Print)0901658995
StatePublished - 2002
EventThe 2nd International Workshop on Texture Analysis and Synthesis - Copenhagen, Denmark

Conference

ConferenceThe 2nd International Workshop on Texture Analysis and Synthesis
CountryDenmark
CityCopenhagen
Period1/06/022/06/02

Abstract

In this paper, we present a theoretically and computationally simple but efficient approach for rotation invariant texture classification. This method is based on new texture signatures extracted from spectrum. Rotation invariant texture features are obtained based on the extension of the derived signatures. The features are tested with 1000 randomly rotated samples of 20 Brodatz texture classes. Comparative study results show that our method is highly efficient in rotation invariant texture classification.

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