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Proceedings Paper

Orientation selectivity-based structure for texture classification
Author(s): Jinjian Wu; Weisi Lin; Guangming Shi; Yazhong Zhang; Liu Lu
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Paper Abstract

Local structure, e.g., local binary pattern (LBP), is widely used in texture classification. However, LBP is too sensitive to disturbance. In this paper, we introduce a novel structure for texture classification. Researches on cognitive neuroscience indicate that the primary visual cortex presents remarkable orientation selectivity for visual information extraction. Inspired by this, we investigate the orientation similarities among neighbor pixels, and propose an orientation selectivity based pattern for local structure description. Experimental results on texture classification demonstrate that the proposed structure descriptor is quite robust to disturbance.

Paper Details

Date Published: 29 October 2014
PDF: 11 pages
Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92732M (29 October 2014); doi: 10.1117/12.2071438
Show Author Affiliations
Jinjian Wu, Xidian Univ. (China)
Weisi Lin, Nanyang Technological Univ. (Singapore)
Guangming Shi, Xidian Univ. (China)
Yazhong Zhang, Xidian Univ. (China)
Liu Lu, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 9273:
Optoelectronic Imaging and Multimedia Technology III
Qionghai Dai; Tsutomu Shimura, Editor(s)

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