首页 | 本学科首页   官方微博 | 高级检索  
     

基于动态规划的红外运动小目标检测算法
引用本文:黄林梅,张桂林,王新余.基于动态规划的红外运动小目标检测算法[J].红外与激光工程,2004,33(3):303-306,319.
作者姓名:黄林梅  张桂林  王新余
作者单位:华中科技大学,图像识别与人工智能研究所图像信息处理与智能控制教育部重点实验室, 湖北武汉,430074
摘    要:针对低信噪比下红外小目标的特点,提出一种改进的实用动态规划算法,通过适当的预处理抑制背景噪声、多帧图像灰度累加以提高信噪比,并由虚警和检测概率确定分割门限,检测出小目标位置及状态。详细地叙述动态规划的计算过程及分割门限的确定方法,以简单的步骤实现对低信噪比小目标的检测。实践证明,改进的动态规划算法不仅能完成检测的任务,而且并行性好,易于硬件实现,为下一步的目标跟踪打下了良好的基础。

关 键 词:动态规划  低信噪比  红外图像  小目标
文章编号:1007-2276(2004)03-0303-04
收稿时间:2003/8/1

Detecting of small infrared moving object based on dynamic programming algorithm
HUANG Lin-mei,ZHANG Gui-lin,WANG Xin-yu Intelligent Control.Detecting of small infrared moving object based on dynamic programming algorithm[J].Infrared and Laser Engineering,2004,33(3):303-306,319.
Authors:HUANG Lin-mei  ZHANG Gui-lin  WANG Xin-yu Intelligent Control
Affiliation:HUANG Lin-mei,ZHANG Gui-lin,WANG Xin-yu Intelligent Control,Institute of PatternRecognition and Artificial Intelligence,Huazhong University of Science and Technology,Wuhan 430074,China)
Abstract:An update dynamic programming algorithm is presented in allusion to the features of small moving object.Using the sum of grey level in image sequences, the target is brought into prominence and noise is suppressed by the image preprocessing at the same time. The probability of detecting and false alarm are used to determine the threshold of image, which can abstract the small target accurately. And dynamic programming algorithm performs well in detecting, and it lays foundations for the tracking in the next step.
Keywords:Dynamic programming  Low signal to noise rate  Infrared Image  Small target
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号