We propose a snake-based approach that lets a user specify only the distant end points of the curve he wishes to delineate without having to supply an almost complete polygonal approximation. We achieve much better convergence properties than those of traditional snakes by using the image information around these end points to provide boundary conditions and by introducing an optimization schedule that allows the snake to take image information into account first only near its extremities and then, progressively, towards its center. These snakes could be used to alleviate the often repetitive task practitioners have to face when segmenting images by abolishing the need to sketch a feature of interest in its entirety, that is, to perform a painstaking, almost complete, manual segmentation.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Initializing snakes [object delineation]


    Contributors:
    Neuenschwander (author) / Fua (author) / Szekely (author) / Kubler (author)


    Publication date :

    1994-01-01


    Size :

    957753 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Initializing Snakes

    Neuenschwander, W. / Fuo, P. / Szekely, G. et al. | British Library Conference Proceedings | 1994


    Network snakes: graph-based object delineation with active contour models

    Butenuth, M. | British Library Online Contents | 2012



    Method for initializing neural network

    SCHMID FRANZISKA / LONG TAO | European Patent Office | 2024

    Free access

    INITIALIZING EARLY AUTOMATIC LANE CHANGE

    KUMARA NAMAL P / ADAM PAUL A / CHOI GABRIEL TAYOUNG | European Patent Office | 2022

    Free access