This paper presents a new texture feature set based on the statistics of geometrical attributes of connected regions in a stack of binary images obtained from a texture image. Systematic evaluation using all the Brodatz textures shows that the new set outperforms the well-known statistical gray level dependence matrix, the recently proposed statistical feature matrix, and Liu's features.<>


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    Title :

    Texture classification using statistical geometrical features


    Contributors:
    Yan Qiu Chen (author) / Nixon, M.S. (author) / Thomas, D.W. (author)


    Publication date :

    1994-01-01


    Size :

    439131 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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