|Table of Contents|

Millimeter-wave Radiometric Image Fusion for Concealed Contraband Detection


Research Field:
Publishing date:


Millimeter-wave Radiometric Image Fusion for Concealed Contraband Detection
HU Tai-yangXIAO Ze-longCHEN LeiXU Jian-zhong
School of Electronic Engineering and Optoelectronic Technology,NUST,Nanjing 210094,China
concealed contraband detection visible images millimeter-wave radiometric images image fusion Contourlet transform region characteristics
In view of the problem that both visible images and millimeter-wave(MMW)radiometric images have limitations in concealed contraband detection,an image fusion algorithm based on Contourlet transform is proposed for the fusion of visible images and MMW radiometric images.The multi-resolution structures of the source images are obtained in Contourlet transform domain.The corresponding fusion rules based on region variance and region energy are established for the fusion of low-pass and high-pass subbands,respectively.In addition,the approach degree function is employed to evaluate the correlation degree of region characteristics of low-pass subbands.Finally,the fused images are acquired through the inverse Contourlet transform.Experimental results show that the proposed algorithm can effectively integrate the abundant details of visible images and the significant target features of MMW radiometric images into the fused results and has better performance than traditional fusion algorithms both in subjective visual effect and objective evaluation criteria.


[1] 肖泽龙. 毫米波对人体隐匿物品辐射成像研究[D].南京: 南京理工大学电子工程与光电技术学院, 2007.
[2] Liu Zheng,Xue Zhiyun,Blum R S,et al. Concealed weapon detection and visualization in a synthesized image [J]. Pattern Analysis and Applications,2006, 8( 4) : 375-389.
[3] 肖泽龙,许建中,彭树生,等. 基于凸集投影算法的被动毫米波图像超分辨率恢复[J]. 南京理工大学学报, 2007, 31( 3) : 355-358.
[4] Xue Z,Blum R S,Li Y. Fusion of visual and IR images for concealed weapon detection[A]. Proceedings of the Fifth International Conference on Information Fusion [C]. Sunnyvale,CA: International Society of Information Fusion, 2002: 1198-1205.
[5] Xue Zhiyun,Blum R S. Concealed weapon detection using color image fusion[A]. Proceedings of the Sixth International Conference on Information Fusion[C]. Gallup,NM: University of New Mexico, 2003: 622-627.
[6] 王亚杰,徐新和. 基于彩色图像融合新算法的隐藏武器检测研究[J]. 中国图象图形学报,2009,14( 3) : 520-524.
[7] 白蕊,杨万海,张艳妮. 基于Contourlet 变换的遥感图像融合[J]. 中国图象图形学报,2009,14 ( 6) : 1173-1177.
[8] Do M N,Vetterli M. The Contourlet transform: An efficient directional multiresolution image representation [J]. IEEE Transactions on Image Processing, 2005, 14( 12) : 2091-2106.
[9] 柴奇,杨伟,管怡,等. 一种改进的可见光与红外图像融合算法[J]. 红外技术, 2008, 30( 2) : 87-90.
[10] 叶传奇. 基于多尺度分解的多传感器图像融合算法研究[D]. 西安: 西安电子科技大学计算机学院, 2009.
[11] 焦竹青,熊伟丽,张林,等. 基于接近度的多传感器数据融合方法研究[J]. 压电与声光,2009,31( 5) : 771-774.
[12] 胡振涛,刘先省. 基于相对距离的一种多传感器数据融合方法[J]. 系统工程与电子技术,2006,28( 2) : 196-198.
[13] 刘启海,林玉池,冯伟昌,等. 采用提升方向波变换的异源图像融合新方法[J]. 红外与激光工程, 2010, 39( 2) : 358-362.
[14] 郭雷,李晖晖,鲍永生. 图像融合[M]. 北京: 电子工业出版社, 2008. 111


Last Update: 2012-10-12