| 融合区域和边界信息的水平集SAR图像分割方法 |
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| 引用本文： | 曹宗杰,庞伶俐,皮亦鸣. 融合区域和边界信息的水平集SAR图像分割方法[J]. 电子科技大学学报(社会科学版), 2008, 0(3) |
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| 作者姓名： | 曹宗杰 庞伶俐 皮亦鸣 |
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| 作者单位： | 电子科技大学电子工程学院;电子科技大学电子工程学院 成都; |
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| 基金项目： | 中国博士后科学基金(20060401017); 教育部新世纪优秀人才支持计划(23901019); 四川省青年科技基金会资助项目(06ZQ026-006) |
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| 摘 要： | 提出了一种基于区域和边界信息的水平集SAR图像分割方法。该方法根据SAR图像的区域统计特征和边界梯度信息,建立SAR图像分割能量泛函模型;通过最小化能量泛函得到曲线演化偏微分方程;采用水平集方法求解演化方程,实现了SAR图像的分割。分别采用模拟和真实SAR图像对该方法进行了仿真。实验结果表明,该方法能充分利用SAR图像特征,不需要去除相干斑噪声的预处理过程,实现了对图像中目标与背景的正确分割。
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| 关 键 词： | 边界梯度 图像分割 水平集 统计特征 合成孔径雷达 |
A Level Set SAR Image Segmentation Method with Combined Region and Edge Information |
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| CAO Zong-jie,PANG Ling-li,, PI Yi-ming. A Level Set SAR Image Segmentation Method with Combined Region and Edge Information[J]. Journal of University of Electronic Science and Technology of China(Social Sciences Edition), 2008, 0(3) |
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| Authors: | CAO Zong-jie PANG Ling-li PI Yi-ming |
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| Affiliation: | CAO Zong-jie,PANG Ling-li,, PI Yi-ming (School of Electronic Engineering,University of Electronic Science , Technology of China Chengdu 610054) |
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| Abstract: | In this paper, a new level set synthetic aperture radar (SAR) image segmentation approach based on region and edge information is proposed. An energy functional which is adapted for SAR image segmentation is defined. The energy functional consists of a region-based term derived from maximum-likelihood estimation of a mixed Gamma model and a boundary-based term derived from geodesic active contour model. Partial differential equations (PDEs) of curve evolution are obtained by minimization of the energy funct... |
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| Keywords: | edge gradient image segmentation level set statistical characteristics synthetic aperture radar |
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