液晶与显示2016，Vol.31Issue(8)：793-800,8.DOI:10.3788/YJYXS20163108.0793
结合形态学和 Canny 算法的红外弱小目标检测
Infrared small target detection based on adaptive Canny algorithm and morphology
摘要
Abstract
In order to solve the problem of accurate and adaptive detection of infrared dim small tar-gets,this paper proposes a new method based on median filter which combines top-hat algorithm and Canny algorithm.This method is different from the infrared dim target detection using traditional Canny algorithm.First,this method selected suitable window for image processing,using median filter to remove noise effectively and keep the image edge information at the same time.Then this method eliminates the effect of complex dynamic background by using top-hat algorithm.Finally,this method adopts adaptive Canny algorithm to extract the edge of infrared small target.Experimental results demonstrate the effectiveness and superiority of the proposed method,this design method which is self-adaptive can accurately locate the position of the small target,the SNR gain reaches more than 10times.Besides,this method can eliminate noise and the effect of clouds.Moreover,this method has a certain degree of adaptability.关键词
红外小目标/Canny 算法/中值滤波/形态学处理Key words
infrared small target/Canny algorithm/median filtering/morphology分类
信息技术与安全科学引用本文复制引用
丁鹏,张叶,刘让,贾平..结合形态学和 Canny 算法的红外弱小目标检测[J].液晶与显示,2016,31(8):793-800,8.基金项目
吉林省重大科技攻关专项(No．11ZDGG001) Supported by Major Scientific and Technological Research Projects in Jilin Province(No．11ZDGG001) （No．11ZDGG001）
