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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.)

A Gaussian pyramid approach to Bouligand-Minkowski fractal descriptors

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Author(s):
Florindo, Joao Batista [1, 2] ; Casanova, Dalcimar [3] ; Bruno, Odemir Martinez [2]
Total Authors: 3
Affiliation:
[1] Univ Estadual Campinas, Inst Math Stat & Sci Comp, Rua Sergio Buarque de Holanda 651, BR-13083859 Campinas, SP - Brazil
[2] Univ Sao Paulo, Sao Carlos Inst Phys, Sci Comp Grp, Ave Trabalhador Sao Carlense 400, BR-13560970 Sao Carlos, SP - Brazil
[3] Univ Tecnol Fed Parana, Dept Informat, Via Conhecimento, Km 1, BR-85503390 Pato Branco, PR - Brazil
Total Affiliations: 3
Document type: Journal article
Source: INFORMATION SCIENCES; v. 459, p. 36-52, AUG 2018.
Web of Science Citations: 2
Abstract

This work proposes a method to extract features from texture images by applying a Gaussian pyramid multiscale approach to the Bouligand-Minkowski fractal descriptors. The proposal starts from the texture image and computes the stack of multi-resolution images that compose the pyramid, in both directions, of reduction and expansion. In the following, each image in the stack is mapped onto a surface, which is dilated by spheres with variable radii and the dilation volumes are used to compute the Bouligand-Minkowski fractal descriptors for each level. Both the descriptors of each level and combinations with descriptors from the original image are verified in the classification of well-known databases of textural images. The proposed method outperformed other classical and state-of-the-art descriptors with a significant advantage in most cases, including situations where random noise is added to the images. (C) 2018 Elsevier Inc. All rights reserved. (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: 16/16060-0 - Pattern Recognition on Images Based on Complex Systems
Grantee:Joao Batista Florindo
Support type: Regular Research Grants
FAPESP's process: 14/08026-1 - Artificial vision and pattern recognition applied to vegetal plasticity
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