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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A generalized Mumford-Shah model for roof-edge detection


    Beteiligte:
    Bui, T.D. (Autor:in) / Gao, S. (Autor:in) / Zhang, Q.H. (Autor:in)


    Erscheinungsdatum :

    2005-01-01


    Format / Umfang :

    199907 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Generalized Mumford-Shah Model for Roof-Edge Detection

    Bui, T. D. / Gao, S. / Zhang, Q. H. | British Library Conference Proceedings | 2005


    A Mumford-Shah model on lattice

    Yu, L. / Wang, Q. / Wu, L. et al. | British Library Online Contents | 2008


    Mumford-Shah Regularizer with Contextual Feedback

    Erdem, E. | British Library Online Contents | 2009


    Combinatorial Optimization of the Discretized Multiphase Mumford–Shah Functional

    El-Zehiry, N. Y. / Grady, L. | British Library Online Contents | 2013


    Mumford–Shah and Potts Regularization for Manifold-Valued Data

    Weinmann, A. | British Library Online Contents | 2016