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中文摘要：
为了克服传统活动轮廓SAR分割模型高度依赖统计分布假定的缺点,结合基于成对相似性的图划分方法和几何活动轮廓模型的优点,提出了基于区域相似性的活动轮廓SAR分割模型.首先将原始图像过分割成同质子区域集;然后结合强度和纹理信息真实度量子区域的成对相似性,并以此定义能量泛函;最后利用基于过分割的规则化和快速曲线演化实现SAR图像的有效分割.真实SAR图像的实验结果表明,该模型能快速、准确地得到SAR图像的分割结果.
英文摘要：
Due to the fact that classical active contour models for SAR image segmentation are highly dependent on statistical distributions,a novel active contour model based on pairwise region similarity is proposed and used for SAR images segmentation.First,the image is over segmented into small homogenous regions.Then,a region similarity measure based on intensity and texture is defined and employed to construct an energy functional.Finally,an efficient regularization and curve evolution method based on over segmentation is enforced to improve the numerical accuracy and evolution efficiency.Experiments on SAR images show that our proposed model can both efficiently and accurately segment SAR images.
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