Suppression of infrared image background by multiscale hidden Markov model

QIN Han-lin; ZHOU Hui-xin; LIU Qun-chang; LAI Rui

doi:10.3788/OPE.20111908.1950

您当前的位置：

首页 >

文章列表页 >

Suppression of infrared image background by multiscale hidden Markov model

Information sciences | 更新时间：2020-08-12

- Suppression of infrared image background by multiscale hidden Markov model
- Optics and Precision Engineering Vol. 19, Issue 8, Pages: 1950-1956(2011)
- 作者机构：
  
  1. 西安电子科技大学技术物理学院,陕西西安 710071
  2. 中国航天科工集团公司九院总体设计部,湖北武汉 430035
  3. 西安电子科技大学微电子学院,陕西西安 710071
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20111908.1950
  CLC： TP391.4
- Received：02 November 2010，
  
  Revised：04 January 2011，
  
  Published Online：25 August 2011，
  
  Published：25 August 2011
- 稿件说明：
移动端阅览
秦翰林, 周慧鑫, 刘群昌, 赖睿. 采用多尺度隐式马尔可夫模型的红外图像背景抑制[J]. 光学精密工程, 2011,19(8): 1950-1956

QIN Han-lin, ZHOU Hui-xin, LIU Qun-chang, LAI Rui. Suppression of infrared image background by multiscale hidden Markov model[J]. Editorial Office of Optics and Precision Engineering, 2011,19(8): 1950-1956
秦翰林, 周慧鑫, 刘群昌, 赖睿. 采用多尺度隐式马尔可夫模型的红外图像背景抑制[J]. 光学精密工程, 2011,19(8): 1950-1956 DOI： 10.3788/OPE.20111908.1950.

QIN Han-lin, ZHOU Hui-xin, LIU Qun-chang, LAI Rui. Suppression of infrared image background by multiscale hidden Markov model[J]. Editorial Office of Optics and Precision Engineering, 2011,19(8): 1950-1956 DOI： 10.3788/OPE.20111908.1950.

摘要

提出了一种基于多尺度隐式马尔可夫模型的红外图像背景抑制方法来解决红外弱小目标检测技术中复杂背景干扰的问题。根据红外目标和背景杂波所具有的不同统计分布特性

利用剪切波变换分解后各尺度、各方向子带内和子带间的系数之间的关系

建立了基于剪切波变换的多尺度隐式马尔可夫模型。通过期望最大化算法计算最优背景参数

分离红外图像中弱小目标信号和复杂背景杂波

达到抑制背景、保存并增强目标信号的目的。对真实的和模拟的包含弱小目标的红外图像序列进行了实验验证

实验结果表明

与最大中值滤波和局部去均值两种方法相比较

本文方法对红外弱小目标(SCR1.6)的复杂背景从主观视觉和数值指标上都具有良好抑制效果。

Abstract

A background suppression method based on multi-scale Hidden Markov Mode (HMT) was proposed to remove the complex background clutter in the detection of dim and small targets. According to difference of distributed characteristics between target and background clutter in infrared image

the shearlet transform based multi-scale HMT was estimated by using the different scale and direction relation of inter-scale and cross-subband coefficients of decomposed images. Finally

the expectation-maximization(EM) algorithm was used to calculate the background

separate dim and small targets and background clutter of infrared image and to implement the suppression of background

and the preservation and enhancement of target signals. Compared with Max Median (MMed) and Local Means Remove (LMR) filter from subject inspection and value index

several groups of experimental results demonstrate that the proposed method can suppress the complicated background in dim and small target images effectively(SCR>=1.6).

关键词

Keywords

references

CHEN J Y,REED I S. A detection algorithm for optical targets in clutter[J]. IEEE Trans. on Aerospace and Electronic Systems, 1987,23(1):46-59.[2] DESHPANDE S D,ER M H,VENKATESWARLU R,et al.. Max-mean and max-median filters for detection of small targets[J]. SPIE, 1999:3809:71-83.[3] ZHANG B Y,ZHANG B Y,ZHANG T X, et al.. Fast new small target detection algorithm based on a modified partial differential equation in infrared clutter[J]. SPIE Optical Engineering, 2007,46(10):106401-1-6.[4] LI H,WEI Y T,LI L Q. Infrared moving target detection and tracking based on tensor locality preserving projection [J]. Infrared Physics & Technology. 2010,53(2):77-83.[5] LIN J N,NIE X,UNBEHAUEN R. Two-dimensional LMS adaptive filter incorporating a local-mean estimator for image processing[J]. IEEE Trans. Circuits Syst., II: Analog Digital Signal Process, 1993,40(7):417-428.[6] WANG X,LIU L,TANG ZH. Infrared dim target detection based on fractal dimension and third-order characterization[J]. Chinese Optics Letters,2009,7(10):931-933.[7] 孟祥龙,张伟,丛明煜,等. 天基红外图像的点目标检测[J]. 光学精密工程, 2010,18(9):2094-2010. MENG X L, ZHANG W, CONG M Y, et al.. Detection of point targets in space-based infrared image[J]. Opt. Precision Eng., 2010,18(9):2094-2010. (in Chinese)[8] 曹琦 ,王德江,张齐,等. 红外点目标检测中的能量累积[J]. 光学精密工程, 2010,18(3):741-747. CAO Q, WANG D J, ZHANG Q, et al.. Energy accumulation in infrared point target detection[J]. Opt. Precision Eng., 2010,18(3):741-747. (in Chinese)[9] 王学伟,王春歆,张玉叶,等. 空间小目标动态规划检测[J]. 光学精密工程, 2010,18(2):477-484. WANG X W, WANG CH X, ZHANG Y Y, et al.. Detection of small space target by dynamic programming [J]. Opt. Precision Eng., 2010,18(2):477-484. (in Chinese)[10] GUO K,LABATE D. Optimally sparse multidimensional representation using shearlets[J]. SIAM J. Math Anal., 2008,39(1):298-318.[11] CROUSE M S, NOWAK R D, BARANIUK R G. Wavelet- based statistical signal processing using hiddern Markov models[J]. IEEE Transactions on Signal Processing, 1998,46(4):886-902.[12] PO D D Y, DO M N. Directional multiscale modeling of images using the contourlet transform[J]. IEEE Transactions on Image Processing, 2006,15(6):1610-1620.[13] 秦翰林, 刘上乾, 周慧鑫. 采用Gabor核非局部均值的弱小目标背景抑制[J]. 红外与激光工程, 2009,38(4):737-741. QIN H L, LIU SH Q, ZHOU H X. Background suppression for dim small target with Gabor kernel non-local means[J]. Infrared and Laser Engineering, 2009,38(4):737-741. (in Chinese)

Views

543

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Multi-feature cross UAV image detection algorithm under cross-layer attentional interaction

Single target tracking in complex scenarios

Identification and suppression of stars under large range of star field density variation

Infrared and visible image fusion based on target enhancement and butterfly optimization

Target detection using spectral unmixing

Related Author

ZHANG Zhihao

DU Lixia

HOU Yue

HAO Ziwei

YIN Jie

LIN Huilan

ZHAO Chunlei

HAO Zhicheng

Related Institution

College of Electronic and Information Engineering， Lanzhou Jiaotong University

Changchun Institute of Optics，Fine Mechanics and Physics，Chinese Academy of Sciences

BYD Auto Industry Company Limited

University of Chinese Academy of Sciences

Jilin Provincial Key Laboratory of Intelligent Wavefront Sensing and Control

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰