结合形态学和Canny算法的红外弱小目标检测

丁鹏; 张叶; 刘让; 贾平

doi:10.3788/YJYXS20163108.0793

您当前的位置：

首页 >

文章列表页 >

结合形态学和Canny算法的红外弱小目标检测

驱动与控制 | 更新时间：2020-07-07

- 结合形态学和Canny算法的红外弱小目标检测
- Infrared small target detection based on adaptive Canny algorithm and morphology
- 液晶与显示 2016年31卷第8期页码：793-800
- 作者机构：
  
  1.中国科学院长春光学精密机械与物理研究所中科院航空光学成像与测量重点实验室, 吉林长春 130033
  2.中国科学院大学, 北京 100049
- 作者简介：
  
  丁鹏(1992-), 男, 江苏扬州人, 硕士研究生, 主要从事图像处理方面的研究。E-mail:dingpeng14@mails.ucas.ac.cn
  [ "贾平(1964-), 男, 吉林延吉人, 博士, 研究员, 主要从事光学动态成像控制和图像处理技术方面的研究。E-mail:jiap@ciomp.ac.cn" ]
- 基金信息：
  
  吉林省重大科技攻关专项(11ZDGG001);Major Scientific and Technological Research Projects in Jilin Province(11ZDGG001)
- DOI：10.3788/YJYXS20163108.0793
  中图分类号： TP391.4
- 收稿日期：2016-03-28，
  
  录用日期：2016-5-11，
  
  纸质出版日期：2016-08
- 稿件说明：
移动端阅览
丁鹏, 张叶, 刘让, 等. 结合形态学和Canny算法的红外弱小目标检测[J]. 液晶与显示, 2016,31(8):793-800.

Peng DING, Ye ZHANG, Rang LIU, et al. Infrared small target detection based on adaptive Canny algorithm and morphology[J]. Chinese journal of liquid crystals and displays, 2016, 31(8): 793-800.
丁鹏, 张叶, 刘让, 等. 结合形态学和Canny算法的红外弱小目标检测[J]. 液晶与显示, 2016,31(8):793-800. DOI： 10.3788/YJYXS20163108.0793.

Peng DING, Ye ZHANG, Rang LIU, et al. Infrared small target detection based on adaptive Canny algorithm and morphology[J]. Chinese journal of liquid crystals and displays, 2016, 31(8): 793-800. DOI： 10.3788/YJYXS20163108.0793.

摘要

为了解决红外弱小目标精确自适应检测的问题，本文提出了一种基于Canny算法、top-hat算法和中值滤波算法结合的红外弱小目标检测方法。该方法不同于传统的Canny弱小目标检测方法，本方法先选定合适的窗口对图像进行中值滤波处理，在去除噪声的同时有效保持图像的边缘信息；再用形态学处理中的top-hat算法抑制复杂背景，去除云层；最后使用自适应Canny算法提取红外小目标的边缘信息精确定位目标的位置。实验结果证明了该方法的有效性和优越性，本文设计的组合算法能够精确定位小目标的位置，信噪比增益达到10倍以上，排除噪声以及云层的干扰作用较强，具有一定的自适应性。

Abstract

In order to solve the problem of accurate and adaptive detection of infrared dim small targets

this paper proposes a new method based on median filter which combines top-hat algorithm and Canny algorithm.This method is different from the infrared dim target detection using traditional Canny algorithm.First

this method selected suitable window for image processing

using median filter to remove noise effectively and keep the image edge information at the same time.Then this method eliminates the effect of complex dynamic background by using top-hat algorithm. Finally

this method adopts adaptive Canny algorithm to extract the edge of infrared small target.Experimental results demonstrate the effectiveness and superiority of the proposed method

this design method which is self-adaptive can accurately locate the position of the small target

the SNR gain reaches more than 10 times. Besides

this method can eliminate noise and the effect of clouds. Moreover

this method has a certain degree of adaptability.

关键词

Keywords

references

CAO J, GAO C Q, XIAO Y X, et al . Infrared small target detection based on the tensor model[C]. Proceedings of the 20147th International Congress on Image and Signal Processing (CISP) , Dalian: IEEE, 2014: 169-173.

刘运龙, 薛雨丽, 袁素真, 等.基于局部均值的红外小目标检测算法[J].红外与激光工程, 2013, 42(3):814-822.

LIU Y L, XUE Y L, YUAN S Z, et al . Infrared small targets detection using local mean[J]. Infrared and Laser Engineering , 2013, 42(3): 814-822. (in Chinese)

ZHANG W J, WANG X Q. Design of infrared small target detection software based on energy minimization constraints[C]. Proceedings of the 2014 Fifth International Conference on Intelligent Systems Design and Engineering Applications (ISDEA) , Hunan: IEEE, 2014: 360-363.

侯洁, 辛云宏.基于高通滤波和图像增强的红外小目标检测方法[J].红外技术, 2013, 35(5):279-284.

HOU J, XIN Y H. A method for infrared small target detection with high-pass filter and image enhancement technology[J]. Infrared Technology , 2013, 35(5): 279-284. (in Chinese)

BAE T W, SOHNG K I. Small target detection using bilateral filter based on edge component[J]. Journal of Infrared, Millimeter, and Terahertz Waves , 2010, 31(6): 735-743.

BAI X Z, ZHOU F G. Analysis of new top-hat transformation and the application for infrared dim small target detection[J]. Pattern Recognition , 2010, 43(6): 2145-2156.

连洁, 韩传久, 潘路.基于Canny算法的红外小目标边缘检测方法[J].微计算机信息, 2007, 23(18):308-310.

LIAN J, HAN C J, PAN L. Infrared target edge detection algorithm based on Canny algorithm[J]. Microcomputer Information , 2007, 23(18): 308-310. (in Chinese)

徐航, 张喜涛, 张军鹏.基于局部均值差分的红外小目标图像背景抑制算法[J].航空学报, 2015, 36(9):2869-2873.

XU H, ZHANG X T, ZHANG J P. Background suppression algorithm for infrared small target image based on local mean difference[J]. Acta Aeronautica et Astronautica sinica , 2015, 36(9): 2869-2873. (in Chinese)

DENG X Q, XIONGY, PENG H. A new kind of weighted median filtering algorithm used for image processing[C]. Proceedings of the 2008 International Symposium on Information Science and Engineering , Shanghai: IEEE, 2008, 2: 738-743.

WANG C Y, LI L L, YANG F P, et al . A new kind of adaptive weighted median filter algorithm[C]. Proceedings of the 2010 International Conference on Computer Application and System Modeling (ICCASM) , Taiyuan: IEEE, 2010, 11: 667-671.

PRASERTSAKUL P, KONDO T. A fingertip detection method based on the top-hat transform[C]. Proceedings of the 201411th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), Nakhon Ratchasima : IEEE, 2014: 1-5.

JOSHI S R, KOJU R. Study and comparison of edge detection algorithms[C]. Proceedings of the 2012 Third Asian Himalayas International Conference on Internet (AH-ICI) , Kathmandu: IEEE, 2012: 1-5.

CANNY J. A computational approach to edge detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence , 1986, PAMI-8(6): 679-698.

LI E S, ZHU S L, ZHU B S, et al . An adaptive edge-detection method based on the canny operator[C]. Proceedings of the ESIAT 2009. International Conference on Environmental Science and Information Application Technology , Wuhan: IEEE, 2009, 1: 465-469.

HUO Y K, WEI G, ZHANG Y D, et al . An adaptive threshold for the Canny Operator of edge detection[C]. Proceedings of the 2010 International Conference on Image Analysis and Signal Processing , Zhejiang: IEEE, 2010: 371-374.

冈萨雷斯, 伍兹, 艾丁斯.数字图像处理的MATLAB实现[M].阮秋琦, 译.北京:清华大学出版社, 2013.

GONZALEZ R C, WOODS R E, EDDINS S L. Digital Image Processing Using MATLAB [M]. RUAN Q Q, Trans. Beijing: Tsinghua University Press, 2013. (in Chinese)

刘兴淼, 王仕成, 赵静.结合统计分布和非下采样Contourlet变换的红外小目标检测[J].光学精密工程, 2011, 19(4):908-915.

LIU X M, WANG S C, ZHAO J.Infrared small target detection based on nonsubsampled contourlet transform and statistical distribution[J]. Optics and Precision Engineering , 2011, 19(4): 908-915. (in Chinese)

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

视频图像中的运动目标检测

基于图像识别的液晶盒厚在线测量系统

基于FPGA的实时边缘检测系统

基于错位放大原理的精密自动瞄准方法