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Texture classification using discriminant wavelet packet subbands
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UNSPECIFIED (2002) Texture classification using discriminant wavelet packet subbands. In: 45th Midwest Symposium on Circuits and Systems (MWSCAS 2002), AUG 04-07, 2002, TULSA, OK.
Full text not available from this repository.Abstract
This paper addresses the issue of selecting features from a given wavelet packet subband decomposition that are most useful for texture classification in an image. A functional measure based on Kullback-Leibler distance is proposed as a way to select most discriminant subbands. Experimental results show a superior performance in terms of classification error rates.
| Item Type: | Conference Item (UNSPECIFIED) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TR Photography |
| Journal or Publication Title: | 2002 45TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL III, CONFERENCE PROCEEDINGS |
| Publisher: | IEEE |
| ISBN: | ************* |
| Date: | 2002 |
| Number of Pages: | 4 |
| Page Range: | pp. 300-303 |
| Publication Status: | Published |
| Title of Event: | 45th Midwest Symposium on Circuits and Systems (MWSCAS 2002) |
| Location of Event: | TULSA, OK |
| Date(s) of Event: | AUG 04-07, 2002 |
| URI: | http://wrap.warwick.ac.uk/id/eprint/8981 |
Data sourced from Thomson Reuters' Web of Knowledge
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