Adelaide Research & Scholarship
Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/21951
| Type: | Thesis |
| Title: | Wavelet based image texture segementation using a modified K-means algorithm / by Brian W. Ng. |
| Author: | Ng, Brian Walter |
| Issue Date: | 2003 |
| School/Discipline: | Dept. of Electrical and Electronic Engineering |
| Abstract: | 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. |
| Dissertation Note: | Thesis (Ph.D.)--University of Adelaide, Dept. of Electrical and Electronic Engineering, 2003 |
| Subject: | Wavelets (Mathematics) Computer vision. Imaging systems. |
| Description: | "August, 2003" Bibliography: p. 261-268. xxvi, 268 p. : ill. (some col.) ; 30 cm. |
| Provenance: | This electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exception. If you are the author of this thesis and do not wish it to be made publicly available or If you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at: http://www.adelaide.edu.au/legals. |
| Appears in Collections: | Research Theses |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01front.pdf | 119.53 kB | Adobe PDF | View/Open | |
| 02whole.pdf | 17.96 MB | Adobe PDF | View/Open |
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