A new kind of entropy is proposed, which associates spatial and radiometric properties of images. The possible use of this entropy is shown firstly to measure the effect of picture processing algorithms, then to control the evolution of iterative contextual classification algorithms like Markov random fields.<>


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    Title :

    Spatial entropy: a tool for controlling contextual classification convergence


    Contributors:
    Maitre, H. (author) / Bloch, I. (author) / Sigelle, M. (author)


    Publication date :

    1994-01-01


    Size :

    374732 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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