"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.
| Identifer | oai:union.ndltd.org:ADTP/126685 |
| Date | January 2003 |
| Creators | Ng, Brian Walter. |
| Source Sets | Australiasian Digital Theses Program |
| Language | English |
| Detected Language | English |
| Relation | SUA |
Page generated in 0.0019 seconds