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Affine invariant texture analysis based on structural properties

Affine invariant texture analysis based on structural properties

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Original languageEnglish
Title of host publicationProceedings of the Fifth Asian Conference on Computer Vision (ACCV 2002)
EditorsAlireza Bab-Hadiashar, David Suter
PublisherAsian Federation of Computer Vision Societies
Pages216-221
Number of pages6
ISBN (Print)9780958025607, 0958025606
StatePublished - 2002
EventACCV2002: The 5th Asian Conference on Computer Vision - Melbourne, Australia

Conference

ConferenceACCV2002: The 5th Asian Conference on Computer Vision
CountryAustralia
CityMelbourne
Period23/01/0225/01/02

Abstract

This paper presents a new texture analysis method based on structural properties. The texture features extracted using this algorithm are invariant to affine transform (including rotation, translation, scaling, and skewing). Affine invariant structural properties are derived based on texel areas. An area-ratio map utilizing these properties is introduced to characterize texture images. Histogram based on this map is constructed for texture classification. Efficiency of this algorithm for affine invariant texture classification is demonstrated using Brodatz textures.

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