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基于窄带多区域水平集方法的遥感图像分割
作者姓名:Fang JX  Tu EM  Yang J  Jia ZH  Nikola K
作者单位:1. 上海交通大学图像处理与模式识别研究所,上海,200240
2. 新疆大学电子系,新疆乌鲁木齐,830046
3. 奥克兰理工大学知识工程与发现研究所,新西兰奥克兰
基金项目:科技部政府间国际科技合作项目(2009DFA12870)资助
摘    要:由于遥感图像存在边缘混叠等问题,经典的C-V模型会产生大量的冗余轮廓,而且无法分割多个同质区域的目标.为此,提出了基于C-V模型的窄带多区域水平集图像分割方法,采用N-1个水平集函数将图像分割成N(N>1)个区域,每个水平集函数表达一个区域.该方法一方面通过建立独立多区域水平集模型可以消除多余的轮廓,避免分割区域的重叠...

关 键 词:图像分割  窄带水平集  多区域水平集  遥感图像

Narrow band multi-region level set method for remote sensing image
Fang JX,Tu EM,Yang J,Jia ZH,Nikola K.Narrow band multi-region level set method for remote sensing image[J].Spectroscopy and Spectral Analysis,2011,31(11):3001-3005.
Authors:Fang Jiang-Xiong  Tu En-Mei  Yang Jie  Jia Zhen-Hong  Nikola Kasabov
Institution:FANG Jiang-xiong1,TU En-mei1,YANG Jie1,JIA Zhen-hong2,Nikola Kasabov3 1.Institute of Image Processing and Pattern Recognition,Shanghai Jiaotong University,Shanghai 200240,China 2.School of Information Science and Engineering,Xinjiang University,Urumqi 830046,China 3.The Knowledge Engineering and Discovery Research Institute,Auckland University of Technology,New Zealand
Abstract:Massive redundant contours happen when the classical Chan-Vese(C-V) model is used to segment remote sensing images,which have interlaced edges.What's more,this model can't segment homogeneous objects with multiple regions.In order to overcome this limitation of C-V model,narrow band multiple level set method is proposed.The use of N-1 curves is required for the segmentation of N regions and each curve represents one region.First,the level set model to establish an independent multi-region region can elimina...
Keywords:Image segmentation  Narrow band level set  Multi-region level set  Remote sensing image  
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