基于显著特征引导的红外舰船目标快速分割方法研究  

Fast IR ship segmentation guided by salient features detection

作　　者：张芳[1] 王岳环[2] 

机构地区：[1]武汉铁路分局,湖北武汉430012 [2]华中科技大学图像识别与人工智能研究所,湖北武汉430074

出　　处：《红外与激光工程》2004年第6期603-606,共4页Infrared and Laser Engineering

基　　金：国防预研资助项目(51401020203JW0501)

摘　　要：分割的难度可以利用关于视觉任务的知识来降低。在分析现有分割方法的基础上,提出了一种用目标的显著特征来限定分割区域的分割方法,使基于类间方差的门限法得以应用。同时,考虑了红外图像中船体与发动机等区域存在不同灰度分布的情况,定义了局部分割准则。实验结果证明所提出的方法能成功完成红外舰船目标分割,并能应用于实时舰船目标检测与识别。Segmentation can be facilitated by knowledge of vision task. In this paper, an approach of segmentation is proposed, which is guided by detection of salient features of the target, and makes the inter-classes variance based thresholding be effective. Rules for local segmentation are defined under consideration of the different distribution of the bulk and engine in IR ship images. The approach is applied to IR ship segmentation successfully, and can be adopted in real-time IR ship detection and recognition.

关 键 词：红外舰船 分割 检测 显著特征 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]