To limit the noise in an image, some techniques are based on the calculation of an average intensity in each pixel of the image by considering a some neighbor. However, these techniques tend to attenuate contours present in the image. This affect edge and particularly penalizing for the segmentation algorithms whose finality is to find contours. The restoration method by minimization of total variation, suggested by Rudin et al. (1992), consists in minimizing under constraints of the great variations present in the image while preserving contours. In this paper, we propose an adaptation of the method of Rudin et al. (1992) to the ultrasound images restoration.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Speckle reduction in ultrasound images by minimization of total variation


    Contributors:
    Djemal, K. (author)


    Publication date :

    2005-01-01


    Size :

    132392 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Speckle Reduction in Ultrasound Images by Minimization of Total Variation

    Djemal, K. | British Library Conference Proceedings | 2005


    Speckle-constrained filtering of ultrasound images

    Krissian, K. / Kikinis, R. / Westin, C.-F. et al. | IEEE | 2005



    Speckle filtering in ultrasound images for feature extraction

    Evans, A. N. / Nixon, M. S. / IEE; Science, Education and Technology Division | British Library Conference Proceedings | 1993


    Speckle Noise Reduction in GPR Images

    Pizurica, A. / Philips, W. / Lemahieu, I. et al. | British Library Conference Proceedings | 1999