Infrared Dim Small Target Detection Based on Multi-scale Local Contrast and Multi-scale Gradient Coherence

被引：0
|
作者：
Liu D.-P. [1 ]
Li Z.-Z. [1 ,2 ,3 ,4 ]
Zeng J.-J. [1 ]
Xiong W.-Q. [1 ]
Qi B. [3 ,4 ]
机构：
[1] College of Communication Engineering, Chongqing University, Chongqing
[2] Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education, Chongqing University, Chongqing
[3] Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, 610209, Sichuan
[4] Key Laboratory of Beam Control, Chinese Academy of Sciences, Chengdu, 610209, Sichuan
来源：
Binggong Xuebao/Acta Armamentarii | 2018年 / 39卷 / 08期
关键词：
Infrared dim small target detection; Infrared image; Multi-scale gradient coherence; Multi-scale local contrast;
D O I：
10.3969/j.issn.1000-1093.2018.08.009
中图分类号：
学科分类号：
摘要：
A novel algorithm based on multi-scale local contrast method and multi-scale gradient coherence method is proposed for the high false alarm of infrared dim small target caused by complex background and heavy clutter. The multi-scale local contrast method is used to enhance the infrared dim small target in infrared image, and the multi-scale gradient coherence method is used to avoid the false alarms caused by complex background and heavy clutter. The proposed algorithm is compared with max-mean, max-median, top-hat, IPI and MGDWIE algorithms in terms of signal-to-noise ratio(SNR)gain, mean absolute value of residual background, detectivity and false alarm rate. The proposed algorithm achieves higher SNR gain, lower mean absolute value of residual background, higher detectivity and lower false alarm rate compared to the baseline algorithms. The experimental results show that the proposed algorithm can effectively reduce the false alarm rate under the disturbance of complex background and heavy clutter. © 2018, Editorial Board of Acta Armamentarii. All right reserved.
引用
收藏
页码：1526 / 1535
页数：9
相关论文
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