A new hierarchical distributed genetic algorithm for image segmentation is proposed based on histogram dichotomy without an a priori number of image regions. Experimental results show that the proposed method outperforms the original distributed genetic algorithm.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Hierarchical genetic image segmentation algorithm based on histogram dichotomy


    Contributors:
    Peng, Hanchuan (author) / Long, Fuhui (author) / Chi, Zheru (author) / Feng, David Dagan (author) / Siu, Wanchi (author)

    Publication date :

    2000-05-11


    Size :

    3 pages



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Circular Histogram Thresholding for Color Image Segmentation

    Tseng, D.-C. / Li, Y.-F. / Tung, C.-T. | British Library Conference Proceedings | 1995


    Fuzzy color histogram-based video segmentation

    Kucuktunc, O. / Gudukbay, U. / Ulusoy, O. | British Library Online Contents | 2010


    Image segmentation based on local Fourier coefficients histogram [4550-09]

    Zhou, F. / Feng, J. / Shi, Q. | British Library Conference Proceedings | 2001


    Color image segmentation using histogram multithresholding and fusion

    Kurugollu, F. / Sankur, B. / Harmanci, A. E. | British Library Online Contents | 2001