The paper describes a new algorithm for image segmentation. It is based on a genetic approach that allow us to consider the segmentation problem as a global optimization problem (GOP). For this purpose, a fitness function, based on the similarity between images, has been defined. The similarity is a function of both the intensity and the spatial position of pixels. Preliminary results, obtained using real images, show a good performance of the segmentation algorithm.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A genetic algorithm for image segmentation


    Beteiligte:
    Lo Bosco, G. (Autor:in)


    Erscheinungsdatum :

    01.01.2001


    Format / Umfang :

    401891 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Genetic algorithm application in image segmentation

    Jedlicka, P. / Ryba, T. | British Library Online Contents | 2016


    A Genetic Algorithm for Image Segmentation

    Bosco, G. L. / IEEE | British Library Conference Proceedings | 2001


    Image Segmentation Approach Based on Improved Genetic Algorithm

    Yanting, Z. / Hongqing, Z. | British Library Online Contents | 2004


    Ultrasonic Testing Image Thresholding Segmentation Based on Genetic Algorithm

    Huaidong, C. / Zongjie, C. / Keke, Z. | British Library Online Contents | 2003


    Genetic cuts for image segmentation

    Yang, S.-B. | British Library Online Contents | 2014