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Evaluation of feature descriptors for texture classification

[+] Author Affiliations
William Robson Schwartz

Federal University of Minas Gerais, Department of Computer Science, Belo Horizonte-MG, 31270-010, Brazil

University of Campinas, Institute of Computing, Campinas-SP, 13083-852, Brazil

Fernando Roberti de Siqueira

University of Campinas, Institute of Computing, Campinas-SP, 13083-852, Brazil

Helio Pedrini

University of Campinas, Institute of Computing, Campinas-SP, 13083-852, Brazil

J. Electron. Imaging. 21(2), 023016 (Jun 22, 2012). doi:10.1117/1.JEI.21.2.023016
History: Received April 14, 2011; Revised February 27, 2012; Accepted March 30, 2012
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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.

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Citation

William Robson Schwartz ; Fernando Roberti de Siqueira and Helio Pedrini
"Evaluation of feature descriptors for texture classification", J. Electron. Imaging. 21(2), 023016 (Jun 22, 2012). ; http://dx.doi.org/10.1117/1.JEI.21.2.023016


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