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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    Title :

    Extracting curvilinear features from remotely sensed images using minimum cost path techniques


    Contributors:
    Dobie, M.R. (author) / Lewis, P.H. (author)


    Publication date :

    1994-01-01


    Size :

    546455 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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    Dobie, M. R. / Lewis, P. H. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994




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