Extracting curvilinear features from remotely sensed images using minimum cost path techniques
Extracting curvilinear features from remotely sensed images using minimum cost path techniques
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.
231--235
Dobie, Mark R.
dc0516f1-3b99-4d48-8959-a26b2c7a3303
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
1994
Dobie, Mark R.
dc0516f1-3b99-4d48-8959-a26b2c7a3303
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
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.
.
Record type:
Conference or Workshop Item
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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.
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Published date: 1994
Venue - Dates:
First IEEE International Conference on Image Processing, 1994-01-01
Organisations:
Web & Internet Science
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Local EPrints ID: 250876
URI: http://eprints.soton.ac.uk/id/eprint/250876
PURE UUID: ad3b748e-9c39-4621-97e7-080fd8f52955
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Date deposited: 16 Sep 1999
Last modified: 10 Dec 2021 20:18
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Contributors
Author:
Mark R. Dobie
Author:
Paul H. Lewis
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