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基于数学形态学的红外运动小目标识别算法研究
引用本文:李俊山,曹素平,谭园园. 基于数学形态学的红外运动小目标识别算法研究[J]. 电光与控制, 2006, 13(2): 11-14
作者姓名:李俊山  曹素平  谭园园
作者单位:第二炮兵工程学院,陕西,西安,710025;第二炮兵指挥学院,湖北,武汉,430012
摘    要:针对红外成像制导跟踪的目标具有低信噪比、且背景和噪声干扰信息严重的特点,设计了一种基于数学形态学的红外灰度图像小目标检测识别算法。实验表明,该算法能够大大提高目标的信噪比,去除背景和噪声干扰,保留目标的灰度信息,满足系统的实时性要求,是一种有效的红外灰度图像小目标检测算法。

关 键 词:数学形态学  红外灰度图像  小目标检测
文章编号:1671-637X(2006)02-0011-04
收稿时间:2005-03-21
修稿时间:2005-03-212005-05-16

Small moving infrared target identification algorithm based on mathematical morphology
LI Jun-shan,CAO Su-ping,TAN Yuan-yuan. Small moving infrared target identification algorithm based on mathematical morphology[J]. Electronics Optics & Control, 2006, 13(2): 11-14
Authors:LI Jun-shan  CAO Su-ping  TAN Yuan-yuan
Abstract:In target tracking of infrared imaging guidance,the target has the characteristics of low signal-noise ratio(SNR),serious background and noise interference.The authors presented a small-target detection/identification algorithm of infrared gray images based on mathematical morphology.Experiments show that the algorithm can greatly improve the SNR of the target,reject background and noise interference,retain the useful gray information of target,satisfy real-time requirement of the system.It is an effective small-target detection algorithm of infrared gray image.
Keywords:mathematical morphology   infrared gray image   small - target detection
本文献已被 CNKI 维普 万方数据 等数据库收录!
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