Extracting curvilinear features from remotely sensed images using minimum cost path techniques
Dobie, Mark R. and Lewis, Paul H. (1994) Extracting curvilinear features from remotely sensed images using minimum cost path techniques. First IEEE International Conference on Image Processing , 231--235.
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Description/Abstract
The extraction of curvilinear features from images is an important task in many image analysis applications. We describe an approach to such tasks based on the combination of an efficient optimal path finding algorithm and the use of window constrained search spaces. We conclude that the combination provides an effective vehicle for curvilinear feature extraction from a variety of images.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Divisions: | Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science |
| Item ID: | 250876 |
| Date Deposited: | 16 Sep 1999 |
| Last Modified: | 23 May 2013 01:11 |
| Contributors: | Dobie, Mark R. (Author) Lewis, Paul H. (Author) |
| Date: | 1994 |
| Status: | Published |
| Further Information: | Google Scholar |
| ISI Citation Count: | 0 |
| URI: | http://eprints.soton.ac.uk/id/eprint/250876 |
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