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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.)

Fractal descriptors based on the probability dimension: A texture analysis and classification approach

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Author(s):
Florindo, Joao Batista [1] ; Bruno, Odemir Martinez [1]
Total Authors: 2
Affiliation:
[1] Univ Sao Paulo, Sao Carlos Inst Phys IFSC, Sci Comp Grp, BR-13560970 Sao Carlos, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: PATTERN RECOGNITION LETTERS; v. 42, p. 107-114, JUN 1 2014.
Web of Science Citations: 4
Abstract

In this work, we propose a novel technique for obtaining descriptors of gray-level texture images. The descriptors are provided by applying a multiscale transform to the fractal dimension of the image estimated through the probability (Voss) method. The effectiveness of the descriptors is verified in a classification task using benchmark over texture datasets. The results obtained demonstrate the efficiency of the proposed method as a tool for the description and discrimination of texture images. (C) 2014 Published by Elsevier B.V. (AU)

FAPESP's process: 11/01523-1 - Computer vision methods applied to the identification and analysis of plants
Grantee:Odemir Martinez Bruno
Support Opportunities: Regular Research Grants
FAPESP's process: 12/19143-3 - Fractal Geometry and Image Analysis Applied to Vegetal Biology
Grantee:Joao Batista Florindo
Support Opportunities: Scholarships in Brazil - Post-Doctoral