| Full text | |
| Author(s): |
Total Authors: 3
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| Affiliation: | [1] Univ Fed Uberlandia, Fac Comp, BR-38408100 Uberlandia, MG - Brazil
[2] Univ Sao Paulo, IFSC, BR-13560970 Sao Carlos, SP - Brazil
Total Affiliations: 2
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| Document type: | Journal article |
| Source: | PATTERN RECOGNITION; v. 45, n. 5, p. 1984-1992, MAY 2012. |
| Web of Science Citations: | 77 |
| Abstract | |
Color texture classification is an important step in image segmentation and recognition. The color information is especially important in textures of natural scenes, such as leaves surfaces, terrains models, etc. In this paper, we propose a novel approach based on the fractal dimension for color texture analysis. The proposed approach investigates the complexity in R, G and B color channels to characterize a texture sample. We also propose to study all channels in combination, taking into consideration the correlations between them. Both these approaches use the volumetric version of the Bouligand-Minkowski Fractal Dimension method. The results show a advantage of the proposed method over other color texture analysis methods. (C) 2011 Elsevier Ltd. All rights reserved. (AU) | |
| FAPESP's process: | 08/57313-2 - Complex networks in computer vision, with applications in bioinformatics |
| Grantee: | Dalcimar Casanova |
| Support Opportunities: | Scholarships in Brazil - Doctorate |