光学精密工程2011，Vol.19Issue(8)：1950-1956,7.DOI:10.3788/OPE.20111908.1950
采用多尺度隐式马尔可夫模型的红外图像背景抑制
Suppression of infrared image background by multiscale hidden Markov model
摘要
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 ex-pectation-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＞ = l. 6).关键词
红外图像/目标检测/背景抑制/剪切波变换/隐式马尔可夫模型Key words
infrared image/ target detection/ background suppression/ shearlet transform/ hidden Markov model分类
信息技术与安全科学引用本文复制引用
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):1950-1956,7.基金项目
中央高校基本科研业务费专项基金资助项目(No.72005623,No.72104810) （No.72005623,No.72104810）
国家部委科技项目资助项目(No.7130721) （No.7130721）
教育部科学技术研究重点项目(No.108114) （No.108114）
国家自然科学基金资助项目(No.60902080) （No.60902080）
