In this paper we have generalized the Mumford-Shah (MS) model to detect roof edges. It is found that many previous models cannot detect edges with low contrast. We have studied a variety of different models of energy minimization a la Mumford-Shah approach for image segmentation. The model proposed in this paper is better than the classical piecewise constant approximation since it can detect the low contrast edges of objects. The validity of the new model is demonstrated by experimental results.


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    Title :

    A generalized Mumford-Shah model for roof-edge detection


    Contributors:
    Bui, T.D. (author) / Gao, S. (author) / Zhang, Q.H. (author)


    Publication date :

    2005-01-01


    Size :

    199907 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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