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.<>
Extracting curvilinear features from remotely sensed images using minimum cost path techniques
Proceedings of 1st International Conference on Image Processing ; 3 ; 231-235 vol.3
1994-01-01
546455 byte
Conference paper
Electronic Resource
English
Extracting Curvilinear Features from Remotely Sensed Images using Minimum Cost Path Techniques
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