Infrared small target detection algorithm based on self-adaptive background forecast

被引：7
|
作者：
Chen, Zhenxue [1 ]
Wang, Guoyou
Liu, Jianguo
Liu, Chengyun
机构：
[1] Huazhong Univ Sci & Technol, State Educ Commiss Lab Image Proc & Intelligence, Inst Pattern Recognit & Artificial Intelligence, Wuhan 430074, Peoples R China
[2] Wuhan Univ Sci & Technol, Coll Sci, Wuhan 430081, Peoples R China
来源：
INTERNATIONAL JOURNAL OF INFRARED AND MILLIMETER WAVES | 2006年 / 27卷 / 12期
关键词：
small target detection; background forecast; adaptive; real-time; infrared image;
D O I：
10.1007/s10762-006-9158-8
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A background forecast filter is presented to detect a small target under an infrared (IR) nature scene. By calculating the correlation of image pixels, the background around the small target could be forecasted. Subtracting the forecast background from original scene, the small targets would become outstanding. Experimental results show that the algorithm proposed has better performance with respect to probability of detection and less computation complexity.
引用
收藏
页码：1619 / 1624
页数：6
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