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Elsevier, Pattern Recognition Letters, (42), p. 107-114

DOI: 10.1016/j.patrec.2014.01.009

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Fractal descriptors based on the probability dimension: A texture analysis and classification approach

Journal article published in 2014 by João Batista Florindo, Odemir Martinez Bruno ORCID
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This paper is available in a repository.

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Abstract

In this work, we propose a novel technique for obtaining descriptors of gray-level texture images. The descriptors are provided by applying a multiscale transform to the fractal dimension of the image estimated through the probability (Voss) method. The effectiveness of the descriptors is verified in a classification task using benchmark over texture datasets. The results obtained demonstrate the efficiency of the proposed method as a tool for the description and discrimination of texture images.