| Full text | |
| Author(s): |
Total Authors: 2
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| Affiliation: | [1] Univ Sao Paulo, Sao Carlos Inst Phys, BR-13560970 Sao Carlos, SP - Brazil
Total Affiliations: 1
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| Document type: | Journal article |
| Source: | PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS; v. 444, p. 415-427, FEB 15 2016. |
| Web of Science Citations: | 6 |
| Abstract | |
This work proposes the development and study of a novel set of fractal descriptors for texture analysis. These descriptors are obtained by exploring the fractal-like relation among the coefficients and magnitudes of a particular type of wavelet decomposition, to know, the best basis selection. The proposed method is tested in the classification of three sets of textures from the literature: Brodatz, Vistex and USPTex. The method is also applied to a challenging real-world problem, which is the identification of species of plants from the Brazilian flora. The results are compared with other classical and state-of-the-art texture descriptors and demonstrate the efficiency of the proposed technique in this task. (C) 2015 Elsevier B.V. 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: | 12/19143-3 - Fractal Geometry and Image Analysis Applied to Vegetal Biology |
| Grantee: | Joao Batista Florindo |
| Support type: | Scholarships in Brazil - Post-Doctorate |