Nonparametric method for extraction of region of interest based on information theory

Jianhua Zhao; Yu Zhang; Kaiwen Zhong

doi:10.1117/12.750679

14 November 2007 Nonparametric method for extraction of region of interest based on information theory

Jianhua Zhao, Yu Zhang, Kaiwen Zhong

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67902F (2007) https://doi.org/10.1117/12.750679
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

We propose a nonparametric method for extraction of region of interest (ROI) based on information theory. A polygonal active contour, whose energy function is defined by Jensen-Shannon divergence, is used to drive the curve to match the boundaries of the ROI. Then, our method is able to solve problems involving arbitrary probability densities for the region intensity. We use this method to extract the ROI of synthesized, aerial and natural images and compare with classical statistical snake. Experimental results demonstrate the power of the proposed extraction method for ROI.

Citation Download Citation

Jianhua Zhao, Yu Zhang, and Kaiwen Zhong "Nonparametric method for extraction of region of interest based on information theory", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67902F (14 November 2007); https://doi.org/10.1117/12.750679

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