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低信噪比图像序列中运动目标的提取方法
引用本文:易国华,沈疆海.低信噪比图像序列中运动目标的提取方法[J].石油天然气学报,1998,20(1):87-91.
作者姓名:易国华  沈疆海
作者单位:江汉石油学院电子与信息工程系
摘    要:从分析传统的差分法难于检测出低信噪比图像序列运动目标的原因入手,剖析了噪声对运动目标检出的影响,提出了消除噪声影响的方法,进而提出了一种抗噪能力很强的检出运动目标的新方法--模板对准相乘法。设计了3种不同形式的模板对准相乘法,即差分模板对准相乘法、时间拉普拉斯模板对准相乘法和空间拉普拉斯模板对准相乘法;详细地描述了这3种方法的具体实现步骤和适用范围,对低信噪比图像序列进行处理的结果表明,模板对准相

关 键 词:计算机图形  信噪比  图像序列  运动目标

Detecting Motive Objects in Image Series with lower SNR
Yi Guohua,Shen Jianghai.Detecting Motive Objects in Image Series with lower SNR[J].Journal of Oil and Gas Technology,1998,20(1):87-91.
Authors:Yi Guohua  Shen Jianghai
Abstract:The effect of noise on detecting motive objects in image series is analyzed in view of the reason that traditional calculus of differences are difficult to detect their motive objects with lower SNR,and a method of eliminating the influence of noises,template aimed multiplication with high anti noise ability to detect motive objects,is proposed Three different ways are designed, which are template aimed multiplying, time Laplas template multiplying, and space Laplas template aimed multiplying.Their operation steps and applied ranges are described in detail.
Keywords:computer graphics  image data processing  pattern recognition  signal/noise ratio
本文献已被 CNKI 维普 等数据库收录!
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