In this paper, we propose a variational method to segment image objects, which have a given parametric shape based on a level-set formulation of the Mumford-Shah functional, and the shape parameters. We define an energy functional composed by two complementary terms. The first one detects object boundaries using a Chan-Vese-like method. The second term constrains the contour to find a shape compatible with the parametric shape. The segmentation of the object of interest is given by the minimum of our energy functional. This minimum is computed with the calculus of variation and the gradient descent method that provide a system of evolution equations solved with the well-known level set method. We focus in this paper on the parametric category of image linear objects. Applications of the proposed model are presented on synthetic and real images.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Variational-based method to extract parametric shapes from images


    Beteiligte:
    El-Melegy, M.T. (Autor:in) / Al-Ashwal, N.H. (Autor:in) / Farag, A.A. (Autor:in)


    Erscheinungsdatum :

    2005-01-01


    Format / Umfang :

    357113 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Variational-Based Method to Extract Parametric Shapes from Images

    El-Melegy, M. / Al-Ashwal, N. / Farag, A. et al. | British Library Conference Proceedings | 2005


    Parametric design of sailing hull shapes

    Mancuso, Antonio | Tema Archiv | 2006


    Recognition of Planar Shapes from Perspective Images Using Contour-Based Invariants

    Pizlo, Z. / Rosenfeld, A. | British Library Online Contents | 1992



    A Variational Principle for Ascent Shapes of Large Scientific Balloons

    Baginski, F. / Committee on Space Research / Panel on Technical Problems Related to Scientific Ballooning | British Library Conference Proceedings | 1995