We propose a new method of estimating object contours from thresholded binary edge images. Our work is motivated by the edge-based video object plane (VOP) generation proposed by Meier, targeted at MPEG-4 object-based video coding. When objects are detected in the form of binary edge images, we have to estimate the complete object contour from edges that do not form a closed contour. The proposed method is designed to carry out this task using only binary edge images. To achieve this, we first introduce a probability field representing the probability that the object contour lies on each pixel, and then take a modified geodesic active contour approach to make the initial contour converge with the contour of the object according to the probability field.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Estimating object contours from binary edge images


    Contributors:
    Tsuji, H. (author) / Saito, S. (author) / Takahashi, H. (author) / Nakajima, M. (author)


    Publication date :

    2005-01-01


    Size :

    376501 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Estimating Object Contours from Binary Edge Images

    Tsuji, H. / Saito, S. / Takahashi, H. et al. | British Library Conference Proceedings | 2005


    Preprocessing Raw Binary Images by Means of Contours

    Braun, A. / Caesar, T. / Gloger, J. M. et al. | British Library Conference Proceedings | 1995


    Intrinsic Bayesian Active Contours for Extraction of Object Boundaries in Images

    Joshi, S. H. / Srivastava, A. | British Library Online Contents | 2009


    Tracing boundary contours in a binary image

    Ren, M. / Yang, J. / Sun, H. | British Library Online Contents | 2002


    Hierarchical Representation of Chain-Encoded Binary Image Contours

    Koplowitz, J. / DeLeone, J. | British Library Online Contents | 1996