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Wavelet based image texture segementation using a modified K-means algorithm

"August, 2003" Bibliography: p. 261-268. In this thesis, wavelet transforms are chosen as the primary analytical tool for texture analysis. Specifically, Dual-Tree Complex Wavelet Transform is applied to the texture segmentation problem. Several possibilities for feature extraction and clustering steps are examined, new schemes being introduced and compared to known techniques.

Identiferoai:union.ndltd.org:ADTP/126685
Date January 2003
CreatorsNg, Brian Walter.
Source SetsAustraliasian Digital Theses Program
LanguageEnglish
Detected LanguageEnglish
RelationSUA

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