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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Texture analysis using fractal descriptors estimated by the mutual interference of color channels

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Casanova, D. ; Florindo, J. B. ; Falvo, M. ; Bruno, O. M.
Total Authors: 4
Document type: Journal article
Source: INFORMATION SCIENCES; v. 346, p. 58-72, JUN 10 2016.
Web of Science Citations: 13

This work presents a method for color texture analysis based on fractal geometry. The method is based on its predecessor {[}4] and consists of mapping each color channel onto a surface and dilating such surface by spheres with a variable radius. The descriptors are obtained from the relation between the volumes of the dilated surfaces and the dilation radii. The dilation process creates a mutual interference among the color channels. The proposed descriptors measure the degree of such interference as well as the complexity of pixel intensity arrangements. This combination provides a robust and precise texture description. The efficiency of the method is assessed in a classification task of well-known texture data sets and the results demonstrate that it outperforms the best approaches described in the literature. (C) 2016 Published by Elsevier Inc. (AU)

FAPESP's process: 13/22205-3 - Tissue spatial organization and fractal analyses for automated plant taxonomy
Grantee:Joao Batista Florindo
Support type: Scholarships abroad - Research Internship - Post-doctor
FAPESP's process: 11/01523-1 - Computer vision methods applied to the identification and analysis of plants
Grantee:Odemir Martinez Bruno
Support type: Regular Research Grants
FAPESP's process: 12/19143-3 - Fractal Geometry and Image Analysis Applied to Vegetal Biology
Grantee:Joao Batista Florindo
Support type: Scholarships in Brazil - Post-Doctorate