[1]汪烈兵,姜雄飞,石春光,等.基于图像滤波与Hough变换的红外弱小目标检测[J].红外技术,2020,42(7):683-687.[doi:10.11846/j.issn.1001_8891.202007012]
 WANG Liebing,JIANG Xiongfei,SHI Chunguang,et al.Infrared Small Target Detection Based on Image Filtering and Hough Transform[J].Infrared Technology,2020,42(7):683-687.[doi:10.11846/j.issn.1001_8891.202007012]
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基于图像滤波与Hough变换的红外弱小目标检测
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《红外技术》[ISSN:1001-8891/CN:CN 53-1053/TN]

卷:
42卷
期数:
2020年第7期
页码:
683-687
栏目:
出版日期:
2020-07-23

文章信息/Info

Title:
Infrared Small Target Detection Based on Image Filtering and Hough Transform
文章编号:
1001-8891(2020)07-0683-05
作者:
汪烈兵姜雄飞石春光李慧冲马晓龙
中国人民解放军66069部队
Author(s):
WANG LiebingJIANG XiongfeiSHI ChunguangLI HuichongMA Xiaolong
PLA 66069 Troops
关键词:
红外图像弱小目标检测最大中值滤波Hough变换
Keywords:
infrared image small target detection max-median filters Hough transform
分类号:
TP391.4
DOI:
10.11846/j.issn.1001_8891.202007012
文献标志码:
A
Abstract:
To solve problems caused by infrared image sensors, such a slow signal to noise ratio, background clutter interference and sensor noise, an infrared small target detection method based on max-median filters and Hough transform is proposed. This proposed method predicts a candidate target region using the method of Max-Median filtering with a single image frame. The candidate target region is processed by a mean filter and the residual region is processed by a Min filter. Then, the weighted Hough transform is used to detect targets with the accumulation of multiple image frames. Experimental results demonstrate that this proposed algorithm can detect small targets with a signal to noise ratio of approximately 1. The background movement does not have a significant impact on the effectiveness and robustness of the proposed method.

参考文献/References:

[1]? ZHANG Ping, WANG Xiaowei, WANG Xiaoyang,etal. Infrared Small Target Detection Based on Spatial-Temporal Enhancement Using QDCT[J]. IEEE Access, 2019(7): 54712-54723.
[2]? 许四祥, 李天甲, 翟健健, 等. 基于 Prewitt 算子的自适应弱小目标检测[J]. 红外技术, 2019, 41(2): 189-193.
XU Sixiang, LI Tianjia, ZHAI Jianjian, et al. Adaptive Dim Small Target Detection Based on Prewitt Operator[J]. Infrared Technology, 2019, 41(2): 189-193.
[3]? 刘高睿, 孙胜利, 林长青. 红外弱小目标背景抑制中的二维空域廓线法[J]. 红外技术, 2019, 41(4): 329-334.?
LIU Gaorui, SUN Shengli, LIN Changqing. Two-Dimensional Spatial Profile Method for Infrared Dim Point Target Background Suppression[J]. Infrared Technology, 2019, 41(4): 329-334.
[4] 熊斌, 黄心汉, 王敏. 基于自适应目标图像恢复的红外弱小目标检测[J]. 华中科技大学学报: 自然科学版, 2017, 45(10): 25-30.
XIONG Bin, HUANG Xinhan, WANG Min. Infrared Dim Small Target Detection Based on Adaptive Target Image Recovery[J]. J. Huazhong Univ. of Sci.& Tech.: Natural Science Edition, 2017, 45(10): 25-30.
[5]? 张素, 安博文, 潘胜达.基于时空非局部相似性的海上红外弱小目标检测[J]. 光子学报, 2018, 47(11): 111001.
ZHANG Su, AN Bowen, PAN Shengda. Infrared Dim Target Detection Based on Temporal-spatial Non-local Similarity[J]. Acta Photonica Sinica, 2018, 47(11):111001.
[6]? Bae Tae-Wuk, Kim Young-Choon, Ahn Sang-Ho, et al. An Efficient Two-Dimensional Least Mean Square(TDLMS) Based on Block Statistics for SmallTarget Detection[J]. Infrared Milli. Terahz Waves, 2009, 30(10): 1092-1101.
[7]? 樊香所, 徐智勇, 张建林. 改进粒子滤波的弱小目标跟踪[J]. 光电工程, 2018, 45(8): 170569.
FAN Xiangsuo, XU Zhiyong, ZHANG Jianlin. Dim Small Target Tracking Based on Improved Particle Filter[J]. Opto-Electronic Engineering, 2018, 45(8): 170569.
[8]? Suyog D Deshpande, M H Er. Max-Mean and Max-Median filters for detection of small-targets[C]//SPIE Conference on Signal and Data Processing of Small Targets, 1999, 3089(74): 73-84.
[9] Bae Tae-Wuk, Sohng Kyu-Ik. Small Target Detection Using Bilateral Filter Basedon Edge Component[J]. Infrared Milli Terahz Waves, 2010, 31(6): 735-743.
[10]? BAI Xiangzhi, ZHOU Fugen. Analysis of New top-hat Transformation and the Application for Infrared Dim Small Target Detection[J]. Pattern Recognition, 2010, 43(6): 2145-2156.
[11]? 孙慧婷, 姜志, 王军, 等. 一种改进的红外弱小目标快速检测方法[J].激光与红外, 2017, 47(10): 1310-1315.
SUN Huiting, JIANG Zhi, WANG Jun, et al. An Improved Detection Method for Infrared Dim and Small Target[J]. Laser & Infrared, 2017, 47(10): 1310-1315.
[12]? Mark S. Nixon, Alberto S. Aguado. Feature Extraction and Image Processing[M]. Second Edition. Beijing: Publishing House of Electronics Industry, 2010: 158-163.

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备注/Memo

备注/Memo:
收稿日期:2019-07-06;修订日期:2020-05-06.
作者简介:汪烈兵(1969-),男,湖北竹溪人,高级工程师,长期从事军用武器装备的研究工作。E-mail:wang_liebing@sina.com

更新日期/Last Update: 2020-07-16