基于区域生长法的星图中星的提取方法  

Star extraction algorithm from star image based on region growth method

作　　者：柯卫 王宏力[1] 袁宇 崔祥祥[1] 陆敬辉[1] 

机构地区：[1]第二炮兵工程大学,陕西西安710025 [2]第二炮兵驻航天十院代表室,北京100854

出　　处：《传感器与微系统》2015年第12期57-58,65,共3页Transducer and Microsystem Technologies

基　　金：陕西省自然科学基础研究计划资助项目(2014JM2-6107)

摘　　要：针对扫描法和矢量法抗噪能力不强、提取精度不高的问题,将区域生长法引入到星提取中,提出了基于区域生长法的星图中星的提取方法。该方法根据星体目标具有较强相关性的特点,制定相似性准则,对星体目标进行生长判断、提取。仿真结果表明:提出的星提取方法具有较强的抗噪能力和较高的提取精度。To solve the problem of scanning method and vector method that antinoise ability is not strong,extraction precision is not high,an improved approach for star extraction from star image is proposed,by introducing region growth algorithm. The proposed method establishes rules of similarity to judge and extract star targets,according to characteristics of strong correlation that star targets have. The simulation results show that the proposed method has strong antinoise ability and high extraction precision.

关 键 词：星敏感器 星提取 区域生长法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]