A novel model for fuzzy equalization of medical images is proposed. The method requires a preprocessing step which accomplishes a fuzzy segmentation of the image into N segments with overlapping fuzzy boundaries. Histogram equalization is performed according to individual equalization functions derived from each segment of the image. A fuzzy membership function is associated with each segment. Enhancement results compare well against histogram equalization techniques that derive the equalization transform function from the global histogram of the image.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Enhancement of medical images using a fuzzy model for segment dependent local equalization


    Contributors:


    Publication date :

    2003-01-01


    Size :

    382723 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Enhancement of Medical Images using a Fuzzy Model for Segment Dependent Local Equalization

    Stephanakis, I. / Anastassopoulos, G. / Karayiannakis, A. et al. | British Library Conference Proceedings | 2003


    Image Contrast Enhancement by Constrained Local Histogram Equalization

    Zhu, H. / Chan, F. H. Y. / Lam, F. K. | British Library Online Contents | 1999


    A Fuzzy Approach to Segment Document Images

    Giorgini, F. / Dellepiane, S. / Verrini, A. et al. | British Library Conference Proceedings | 1999


    Using CART to segment road images

    Davies, Bob / Lienhart, Rainer | SPIE | 2006


    Color medical image enhancement based on adaptive equalization of intensity numbers matrix histogram

    Gu, J. P. / Hua, L. / Wu, X. et al. | British Library Online Contents | 2015