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

Luciano Zunino and Haroldo V. Ribeiro

Chaos, Solitons & Fractals, 2016, vol. 91, issue C, 679-688

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.

Keywords: Texture images; Roughness; Entropy; Complexity; Ordinal patterns probabilities; Multiscale analysis (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:91:y:2016:i:c:p:679-688

DOI: 10.1016/j.chaos.2016.09.005

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