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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 At First IEEE International Conference on Image Processing. , 231--235.

Record type: Conference or Workshop Item (Other)

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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More information

Published date: 1994
Venue - Dates: First IEEE International Conference on Image Processing, 1994-01-01
Organisations: Web & Internet Science

Identifiers

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: 18 Jul 2017 10:14

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Contributors

Author: Mark R. Dobie
Author: Paul H. Lewis

University divisions

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