The multiresolution filtering technique is developed and applied to smooth image segmentation. The technique is based on approximations of a signal by some orthonormal wavelet basis at various resolutions. It is shown that the filter is close to being shift invariant and linear in phase according to an index on wavelets and also capable of suppressing local quadratic variations due to small bumps or noise by going to coarser approximations. An image segmentation scheme is proposed based on the technique. It has been tested on a variety of real images.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Image segmentation based on multiresolution filtering


    Contributors:
    Jing Zhou (author) / Xiang Fang (author) / Ghosh, B.J. (author)


    Publication date :

    1994-01-01


    Size :

    501694 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Image Segmentation Based on Multiresolution Filtering

    Zhou, J. / Fang, X. / Ghosh, B. K. et al. | British Library Conference Proceedings | 1994


    A Multiresolution based Image Segmentation

    Kopparapu, S. K. / Mudalige, P. / Corke, P. I. et al. | British Library Conference Proceedings | 1999


    Image segmentation via multiresolution diffused expectation-maximisation

    Boccignone, G. / Caggiano, V. / Napoletano, P. et al. | IEEE | 2005


    A region-based image fusion algorithm using multiresolution segmentation

    Zhenhua Li, / Zhongliang Jing, / Gang Liu, et al. | IEEE | 2003


    Image Segmentation via Multiresolution Diffused Expectation-Maximisation

    Boccignone, G. / Caggiano, V. / Napoletano, P. et al. | British Library Conference Proceedings | 2005