摘要
现有的红外小目标自动检测方法存在着抗复杂背景能力差、误检率高的缺陷,为了解决上述问题,提出复杂环境下弱信号中的红外小目标自动检测方法研究。根据设计的红外小目标自动检测方法框架图,采用形态学处理方法抑制红外图像背景,并运用contrast box算法分割红外图像,得到二值化红外图像。以得到的二值化红外图像为依据,结合计算得到的信号增量自动搜索小目标红外图像序列。以小目标红外图像序列为基础,通过数学模型实现红外小目标的自动检测。通过仿真实验结果显示,与现有红外小目标自动检测方法相比较,提出的红外小目标自动检测方法极大的提升了抗复杂背景能力,降低了误检率,充分说明提出的红外小目标自动检测方法具备更好的检测效果。
The existing automatic detection methods for small infrared targets have the defects of poor anti-complex background ability and high false detection rate.In order to solve the above problems,this paper proposes an automatic detection method for small infrared targets in weak signals in complex environment.According to the designed frame diagram of infrared small target automatic detection method,the background of infrared image is suppressed by morphological processing method,and infrared image is segmented by contrast box algorithm to get binary infrared image.Based on the binary infrared image,combined with calculated signal increment,the small target infrared image sequence is automatically searched.Based on the infrared image sequence of small target,the automatic detection of small infrared target is realized by mathematical model.The simulation results show that compared with the existing small infrared target automatic detection methods,the proposed infrared small target automatic detection method greatly improves the ability of resisting complex background,reduces the false detection rate,fully demonstrates that the proposed small infrared target automatic detection method has better detection effect.
作者
刘晓玲
牛海春
宋海燕
秦富贞
LIU Xiaoling;NIU Haichun;SONG Haiyan;QIN Fuzhen(College of Intelligent Manufacturing,Qingdao Huanghai University,Qingdao Shandong 266427,China)
出处
《激光杂志》
北大核心
2020年第10期82-86,共5页
Laser Journal
基金
山东省高等学校科技计划项目(No.J18KB164,J18KB155)。
关键词
复杂环境
弱信号
红外小目标
检测
complex environment
weak signal
small infrared target
detection
