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《Laser & Infrared》 2016-01
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Infrared target segmentation algorithm based on maximum entropy threshold in complex background

WEN Kai-feng;YE Shi-tong;WAN Zhi-ping;Jiaying University;Huali College Guangdong University of Technology;Xinhua College of Sun Yat-sen University;  
In order to effectively segment the infrared target signal of actual shooting,an infrared object segmentation algorithm based on maximum entropy threshold is proposed in a complex background. According to the correlation of image signals,interference signals of the images are preprocessed,and then the entropy in those image signals is calculated. After that,in order to obtain more desirable infrared target signal,the target signal and the background signal are further processed according to the distribution characteristics of the target and the background signal. The experimental results show that this algorithm can always maintain good infrared target segmentation in different backgrounds. And it has the advantages of low consumption and high definition.
【Fund】: 广东省自然科学基金项目(No.S2013010013307);; 广东省青年创新人才自然科学类基金项目(No.2014KQNCX251);广东省青年创新人才自然科学类基金项目(No.2014KQNCX253)资助
【CateGory Index】: TP391.41
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【Secondary Citations】
Chinese Journal Full-text Database 2 Hits
1 Wan Ming1 Zhang Fengming1 Hu Shuang2(1Institute of Engineering,Air Force Engineering University,Xi′an,Shaanxi 710038,China 2Software Engineering Technical College,Wuhan,Hubei 430000,China);Novel Infrared Dim and Small Target Detection Algorithm Based on Multi-Scale Gradient[J];Acta Optica Sinica;2011-10
2 WANG Ying-ying1,ZHANG Yong-shun1,HE Ping2(1.Missile Institute of Air Force Engineering University,Sanyuan 713800,China;2.93861 Unit,Sanyuan 713800,China);Research on IR target-detecting method based on morphology and entropy[J];Laser & Infrared;2012-05
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