Texture Analysis And Characterization Using Probability Fractal Descriptors

2012/05/13 by Florindo, J. B., Bruno, O. M.
#Computer Vision and Pattern Recognition (cs.CV) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Statistics and Probability (physics.data-an)

paper · doi:10.48550/arxiv.1205.2821

Abstract

A gray-level image texture descriptors based on fractal dimension estimation is proposed in this work. The proposed method estimates the fractal dimension using probability (Voss) method. The descriptors are computed applying a multiscale transform to the fractal dimension curves of the texture image. The proposed texture descriptor method is evaluated in a classification task of well known benchmark texture datasets. The results show the great performance of the proposed method as a tool for texture images analysis and characterization.

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