Application of particle swarm optimization algorithm to image texture classification

Zhiwei Ye; Zhaobao Zheng; Jinping Zhang; Xin Yu

doi:10.1117/12.748581

14 November 2007 Application of particle swarm optimization algorithm to image texture classification

Zhiwei Ye, Zhaobao Zheng, Jinping Zhang, Xin Yu

Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 678925 (2007) https://doi.org/10.1117/12.748581
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Zhiwei Ye, Zhaobao Zheng, Jinping Zhang, and Xin Yu "Application of particle swarm optimization algorithm to image texture classification", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 678925 (14 November 2007); https://doi.org/10.1117/12.748581

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