| 基于SFCM及水平集方法的溢油图像分割 |
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| 引用本文： | 邵桢,翟宏宇,刘雪岩.基于SFCM及水平集方法的溢油图像分割[J].长春光学精密机械学院学报,2013(3):134-137. |
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| 作者姓名： | 邵桢 翟宏宇 刘雪岩 |
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| 作者单位： | 长春理工大学计算机科学与技术学院,长春130022 |
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| 基金项目： | 国家自然科学基金（61176002） |
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| 摘 要： | 传统的单一模糊聚类算法（FCM）适用于无噪声图像的分割,而对于具有噪声、特殊点值及瑕疵的图像分割则无能为力。本文提出了应用嵌入空间信息的模糊聚类算法（SFCM）与水平集方法的结合,对海洋溢油污染的合成孔径雷达（SAR）图像进行分割处理,得到了优于其它算法的分割图像。通过对SAR溢油图像分割的数据分析,验证了算法的有效性。
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| 关 键 词： | SFCM算法 水平集 SAR 溢油 分割 |
Segmentation of Oil Spill Images Based on SFCM and Level Set Methods |
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| SHAO Zhen,ZHAI Hongyu,LIU Xueyan.Segmentation of Oil Spill Images Based on SFCM and Level Set Methods[J].Journal of Changchun Institute of Optics and Fine Mechanics,2013(3):134-137. |
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| Authors: | SHAO Zhen ZHAI Hongyu LIU Xueyan |
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| Affiliation: | (School of Computer Science and Technology,Changchun University of Science and Technology,Changchun 130022) |
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| Abstract: | In this paper a robust method for oil spill SAR image segmentation is explored.The unique FCM algorithm yields better results for segmenting noise free images,but it fails to segment images degraded by noise,outliers and other imaging defects,an integrated method of spatial based FCM（SFCM） and level set method for oil spill segmentation is discussed.By analysing segmentation of Oil spill SAR image,it verify the effectiveness of the algorithm. |
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| Keywords: | SFCM level set SAR oil spill segmentation |
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