吉林大学学报（理学版）2011，Vol.49Issue(5)：901-905,5.
复杂背景下同光度性质物体的图像分割
Image Segmentation of Homogeneous Photometric Characteristics Objects under Complex Background Clutter
摘要
Abstract
We proposed a segmentation algorithm for objects that exhibit relatively homogeneous photometric characteristics, embedded in complex background clutter. And we introduced the global minimization of the active contour model into our proposed method so as to get a fast global minimization effect. By our method, a simple binary classifier can be arrived by summing the log-probability of error, then, followed by the statistics of the data of the lookout region. At last, the result of segmentation can be attained by global minimization method. Experimental results show the superior performance of our method in computational complexity and segmentation accuracy compared to that of the popular method of C-V model.关键词
全局最小化/远景区域/漏检/误检/数据统计Key words
global minimization/ lookout region/ missed detections/ false alarms/ statistics of the data分类
信息技术与安全科学引用本文复制引用
刘小华,石娜,王甦菁,李春玲..复杂背景下同光度性质物体的图像分割[J].吉林大学学报（理学版）,2011,49(5):901-905,5.基金项目
国家自然科学基金(批准号:60873146 （）
60973092 （）
60903097)、国家高技术研究发展计划863项目基金(批准号:2009 AA02Z307)、吉林省生物识别新技术重点实验室项目(批准号:20082209)和吉林大学科学前沿与交叉学科创新项目(批准号:201103131). （批准号:2009 AA02Z307）
