基于基因结构树模型的红外图像分割研究  

Infrared Image Segmentation Based on Genetic Structure Tree Model

作　　者：庞建丽[1] 高丽娜[1] 

机构地区：[1]黄淮学院,驻马店463000

出　　处：《科学技术与工程》2013年第26期7865-7868,共4页Science Technology and Engineering

基　　金：河南省科技发展计划科技攻关项目(132102210441)资助

摘　　要：针对红外图像分割的特点,采用基因结构树模型。首先通过由根节点至节点顺序累加获取属性为结构树模型的生长代价;接着判决规则为结构树分支节点距离计算,借助分支节点之间的夹角表示,夹角越小,则分支节点距离越小;最后从基因树中选择其中似然值最大的作为最优树,给出了算法流程。实验仿真结果显示算法对红外图像分割很好地保留目标区域,有较为简洁平滑的边缘,分割质量评价的定量结果优。According to the characteristics of infrared image segmentation, using the gene structure tree model, first through the growth of the root node to node order accumulation get properties for the structure tree model; then the decision rules for the calculation of the distance tree branch node, the angle between the said branch node, the smaller the angle, the branch node distance is small; the last one the largest likelihood value as the tree from the gene tree, the algorithm flow is given. Simulation results show this algorithm for infrared image segmentation well reserve the target area, there are more concise and smooth edge, quantitative segmentation quality evaluation resuits.

关 键 词：基因结构树 生成判决 最短节点 分割 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]