SAR Imagery Segmentation Based on Integrated Active Contour

摘要：

Image segmentation is an important problem on image processing technique. Based on active contour model, a novel integrated active contour(IAC) model for SAR imagery segmentation bas been devdoped In this model, the edge information is extracted by edge detection oprrators based on ratio of average framework and the region statistical information is distilled by the maximization of likelihood function of different regions And an unconditionally stablt numerical scheme is used by means of addihonal operator splithng arithmetic. In the end, some segmentation tests have been done using MSTAR, Radarsat-2 and domestic spaceborne SAR images. Results show: proposed model has a good adaptability to complicated SAR images segmentation, and gives an accurate and fast parhtion for different regions in the images; implementing method is robust which is insensitive to parameters setting and initializations.

关键词： synthetic aperture radar image segmentation edge deteaion active contour

作者: Peng Rui-hui Wang Xiang-wei LU Yong-sheng Wang Shu-zong

作者单位: Dept.of Weaponry Engineering Naval Univ.of Engineerrng Wuhan, Hubei,China The Fifth Research Institute Second Artillery Equipment Academy Beijing,China Dept.of Weaponry Engineering Naval Univ.of Engineering Wuhan, Hubei,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 43-47

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）