基于知识的飞机目标灰度图象部位识别方法研究  

The Study of Parts Recognition of Plane Target Gray Image Based-on Knowledge

作　　者：王克勇[1] 宋承天[1] 王炎[1] 郑链[1] 

机构地区：[1]北京理工大学机电工程学院,北京100081

出　　处：《制导与引信》2003年第1期49-52,共4页Guidance & Fuze

摘　　要：在分析大量成像引信目标图象的基础上 ,建立了飞机图象知识库 ,提出一种由上而下的知识驱动型图象识别算法 ;建立由粗到细分层推进的识别原则 ,利用图象关键点和灰度分布特征设立各部位的识别规则。实验证明 。In order to recognize the special parts of the plane target, an up down knowledged driving recognition algorithm is proposed based on the analysis of abundant fuse targets images. The recognition principle is established layered propulsion from wide to thin and given to recognize the six parts of a plane through its key points and gray distribution. The experimental result shows that the algorithm is convenient and efficient.

关 键 词：成像引信 飞机图象 知识库 飞机目标 灰度图象 目标识别 

分 类 号：TJ43[兵器科学与技术—火炮、自动武器与弹药工程] TN953[电子电信—信号与信息处理]