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Proceedings Paper

Nonparametric method for extraction of region of interest based on information theory
Author(s): Jianhua Zhao; Yu Zhang; Kaiwen Zhong
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Paper 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.

Paper Details

Date Published: 14 November 2007
PDF: 6 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67902F (14 November 2007); doi: 10.1117/12.750679
Show Author Affiliations
Jianhua Zhao, National Marine Environmental Monitoring Ctr. (China)
State Oceanic Administration (China)
Yu Zhang, Yangtze River Scientific Research Institute (China)
Kaiwen Zhong, Guangzhou Institute of Geography (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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