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Fast and accuracy extraction of infrared target based on Markov random field
文献类型:期刊
作者:Li, Ying[1]  Mao, Xingjin[2]  Feng, David[3]  Zhang, Yanning[4]  
机构:[1]School of Computer Science, Northwestern Polytechnical University, Shaanxi, Xian 710129, China |School of Information Technologies, J11, University of Sydney, NSW 2006, Sydney, Australia
[2]School of Computer Science, Northwestern Polytechnical University, Shaanxi, Xian 710129, China
[3]School of Information Technologies, J11, University of Sydney, NSW 2006, Sydney, Australia
[4]School of Computer Science, Northwestern Polytechnical University, Shaanxi, Xian 710129, China
通讯作者:Li, Y (reprint author), NW Polytech Univ, Sch Comp Sci, Xian 710129, Shaanxi, Peoples R China.
年:2011
期刊名称:SIGNAL PROCESSING影响因子和分区
卷:91
期:5
页码范围:1216-1223
增刊:正刊
学科:工程学
收录情况:SCI(E)(WOS:000287905700016)  EI(20110513640917)  
所属部门:计算机学院
被引频次:5
人气指数:2235
浏览次数:2206
关键词:Target extraction; Infrared image; Markov random field; Regions of interests; Weighted information entropy
摘要:
Infrared images are characterized by small signal-to-noise ratio (SNR) and low contrast thus making it much difficult to achieve accurate infrared target extraction. This paper proposes a fast and accurate segmentation approach to extract targets from an infrared image. First, the regions of interests (ROIs) which contain the entire targets region and a little background region are detected based on the variance weighted information entropy feature. Second, the infrared image is modeled by Gauss ...More
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