| 基于独立分量分析的红外线列扫描图像处理方法 |
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| 引用本文： | 丁瑞,史彩成,毛二可,唐进.基于独立分量分析的红外线列扫描图像处理方法[J].光学技术,2009,35(2). |
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| 作者姓名： | 丁瑞 史彩成 毛二可 唐进 |
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| 作者单位： | 1. 北京理工大学电子工程系,北京,100081
2. 北京邮电大学,北京,100088 |
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| 摘 要： | 独立分量分析(Independent component analysis,ICA)作为一种有效的盲源分离方法,其目的是从由传感器收集到的混合信号中分离出相互独立的源信号,使得这些分离出来的信号之间尽可能的相互独立。针对红外线列扫描图像,提出了一种基于ICA的图像增强方法,该方法能够有效地去除红外线列扫描图像的非均匀性干扰。阐述了ICA的基本原理,介绍了基于负熵判据的FastICA算法,给出了该方法的具体实现步骤及相应的实验处理结果。结果表明,利用该方法能够达到图像增强的目的。
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| 关 键 词： | 独立分量分析 红外图像 图像增强 |
Processing method of infrared line-scan image based on Independent component analysis |
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| DING Rui,SHI Cai-cheng,MAO Er-ke,TANG jin.Processing method of infrared line-scan image based on Independent component analysis[J].Optical Technique,2009,35(2). |
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| Authors: | DING Rui SHI Cai-cheng MAO Er-ke TANG jin |
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| Institution: | 1.Electronic Engineering Department;Beijing Institute of Technology;Beijing 100081;China;2.Beijing University of Post and Telecommunications;Beijing 100088;China |
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| Abstract: | The Independent Component Analysis(ICA) is a kind of effective blind source separation methods,which aims to separate the independent source signals from the mixed signals,making the output signals to be mutually independent as far as possible,from the collects of signals observed.A method of infrared line-scan image processing based on ICA is presented,which can remove effectively the uneven interference of the image.The principle of ICA and a FastICA algorithm based on neg-entropy criterion is introduced.... |
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| Keywords: | ICA infrared image image enhancing |
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