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arXiv · 1609.01625

Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane

Luciano Zunino·Haroldo V. Ribeiro
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Abstract

The aim of this paper is to further explore the usefulness of the two-dimensional complexity-entropy causality plane as a texture image descriptor. A multiscale generalization is introduced in order to distinguish between different roughness features of images at small and large spatial scales. Numerically generated two-dimensional structures are initially considered for illustrating basic concepts in a controlled framework. Then, more realistic situations are studied. Obtained results allow us to confirm that intrinsic spatial correlations of images are successfully unveiled by implementing this multiscale symbolic information-theory approach. Consequently, we conclude that the proposed representation space is a versatile and practical tool for identifying, characterizing and discriminating image textures.

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Luciano Zunino, Haroldo V. Ribeiro. 2016-09-06. Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane. https://doi.org/10.1016/j.chaos.2016.09.005

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