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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.)

Locally enhancing fractal descriptors by using the non-additive entropy

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Author(s):
Florindo, Joao Batista [1] ; Assirati, Lucas [1] ; Bruno, Odemir Martinez [1]
Total Authors: 3
Affiliation:
[1] Univ Sao Paulo, Sao Carlos Inst Phys, POB 369, BR-13560970 Sao Carlos, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: PATTERN RECOGNITION LETTERS; v. 70, p. 32-37, JAN 15 2016.
Web of Science Citations: 3
Abstract

This work proposes to increase the discrimination ability of fractal descriptors by using information concerning the degree of local organization and homogeneity in the curve of descriptors. Such information is quantified by the non-additive entropy computed along the neighbourhood of each point in the curve of fractal measures. These values are used as features for texture images and assessed in the classification of a well-known data set, to know, Brodatz, as well as in an application to the automatic identification of plant species based on images of leaves. The results are compared using different approaches (combining different lengths of windows and different entropy parameters) as well as with other state-of-the-art and well-known texture descriptors in the literature. The achieved results outperformed the other approaches, suggesting the proposal as being an interesting strategy to provide even more precise and rich features for image analysis. (C) 2015 Elsevier B.V. All rights reserved. (AU)

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: 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: 12/19143-3 - Fractal geometry and image analysis applied to vegetal biology
Grantee:Joao Batista Florindo
Support type: Scholarships in Brazil - Post-Doctorate