A general formalism for detecting geometric configurations of image data is presented. The author first estimates an ideal geometric configuration that supposedly exists, and then checks to what extent the original edges must be displaced in order to support the hypothesis. All types of tests are reduced to computing a single measure of edge displacement which provides a universal measure of uncertainty applicable to all types of decision-making.<>


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    Title :

    Hypothesizing and testing geometric attributes of image data


    Contributors:


    Publication date :

    1990-01-01


    Size :

    325518 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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