A relative entropy based approach to image thresholding was proposed recently by Chang et al. They demonstrated that this method is successful for image thresholding. Relative entropy is a member of the class of Ali-Silvey distance measures. In this paper we generalize the relative entropy based approach and present image thresholding algorithms based on the class of Ali-Silvey distance measures. A number of members of this class are selected and used for implementation in image thresholding algorithms. Performance is evaluated by applying these algorithms to several images and comparing them to a few histogram based thresholding methods.


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    Titel :

    Image thresholding based on Ali-Silvey distance measures


    Beteiligte:

    Kongress:

    Signal Processing, Sensor Fusion, and Target Recognition V ; 1996 ; Orlando,FL,United States


    Erschienen in:

    Erscheinungsdatum :

    1996-06-14





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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