"August, 2003" / Bibliography: p. 261-268. / xxvi, 268 p. : ill. (some col.) ; 30 cm. / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / 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. / Thesis (Ph.D.)--University of Adelaide, Dept. of Electrical and Electronic Engineering, 2003
| Identifer | oai:union.ndltd.org:ADTP/263165 |
| Date | January 2003 |
| Creators | Ng, Brian Walter |
| Source Sets | Australiasian Digital Theses Program |
| Language | en_US |
| Detected Language | English |
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