This article presents the use of morphological amoebas for the enhancement of 3D medical images. Morphological amoebas are kernels adapting their shape in such a way that they do not cross the contours of the image. They can be used in morphological operations in quite a similar way as classical kernel and are well-fitted for noise-reduction in 3D medical images.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Noise reduction in 3D images using morphological amoebas


    Contributors:
    Lerallut, R. (author) / Goehm, M. (author) / Decenciere, E. (author) / Meyer, F. (author)


    Publication date :

    2005-01-01


    Size :

    443447 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Noise Reduction in 3D Images using Morphological Amoebas

    Lerallut, R. / Boehm, M. / Decenciere, E. et al. | British Library Conference Proceedings | 2005


    Image filtering using morphological amoebas

    Lerallut, R. / Decenciere, E. / Meyer, F. | British Library Online Contents | 2007


    Morphological Amoebas Are Self-snakes

    Welk, M. / Breuß, M. / Vogel, O. | British Library Online Contents | 2011


    Impulsive Noise Suppression Using Morphological Operators

    Hu, W. / Yu, W. / Luo, A. et al. | British Library Conference Proceedings | 1995


    A survey on noise reduction techniques in medical images

    Ravishankar, Aditya / Anusha, S / Akshatha, H K et al. | IEEE | 2017