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Proceedings Paper

Application of particle swarm optimization algorithm to image texture classification
Author(s): Zhiwei Ye; Zhaobao Zheng; Jinping Zhang; Xin Yu
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Paper Abstract

This paper describes a kind of robust texture feature invariant to rotation and scale changes, which is the texture energy associated with a mask generated by particle swarm optimization algorithms. The detail procedure and algorithm to generate the mask is discussed in the paper. Furthermore, feature extraction experiments on aerial images are done. Experimental results indicate that the robust feature is effective and PSO-based algorithm is a viable approach for the "tuned" mask training problem.

Paper Details

Date Published: 14 November 2007
PDF: 8 pages
Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 678925 (14 November 2007); doi: 10.1117/12.748581
Show Author Affiliations
Zhiwei Ye, Hubei Univ. of Technology (China)
Zhaobao Zheng, Wuhan Univ. (China)
Jinping Zhang, Wuhan Univ. (China)
Xin Yu, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 6789:
MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques

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