| Full text | |
| Author(s): |
Total Authors: 3
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| Affiliation: | [1] Univ Estadual Campinas, Inst Comp, BR-13083852 Campinas, SP - Brazil
[2] Univ Fed Minas Gerais, Dept Comp Sci, BR-31270010 Belo Horizonte, MG - Brazil
Total Affiliations: 2
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| Document type: | Journal article |
| Source: | JOURNAL OF ELECTRONIC IMAGING; v. 21, n. 2 APR-JUN 2012. |
| Web of Science Citations: | 9 |
| Abstract | |
Successful execution of tasks such as image classification, object detection and recognition, and scene classification depends on the definition of a set of features able to describe images effectively. Texture is among the features used by the human visual system. It provides information regarding spatial distribution, changes in brightness, and description regarding the structural arrangement of surfaces. However, although the visual human system is extremely accurate to recognize and describe textures, it is difficult to define a set of textural descriptors to be used in image analysis on different application domains. This work evaluates several texture descriptors and demonstrates that the combination of descriptors can improve the performance of texture classification. (C) 2012 SPIE and IS\&T. {[}DOI: 10.1117/1.JEI.21.2.023016] (AU) | |
| FAPESP's process: | 10/10618-3 - Feature Combination for Analysis of Videos Involving Humans |
| Grantee: | William Robson Schwartz |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |