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A Variational Level Set SAR Image Segmentation Approach Based on Statistical Model |
Cao Zong-jie Min Rui Pang Ling-li Pi Yi-ming |
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China |
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Abstract In this paper, a variational level set approach for segmentation of Regions Of Interest (ROI) is presented. Following the analysis of the SAR image characteristic, a new energy functional is defined by importing the statistical model of speckle noise. The energy functional is with respect to level set function, which is obviously different from the energy functional with respect to parameterized curve in general level set approach. The segmentation of ROI is implemented by the numerical solution of the Partial Difference Equations (PDEs) that are derived by minimizing the energy formulation. The performance of the approach is verified by both synthetic and real SAR images. It shows that the approach has the advantage of importing the noise information in the energy definition, thus accurately extracting the ROI from SAR image but without any speckle pre-processing step.
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Received: 28 May 2007
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Corresponding Authors:
Cao Zong-jie
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