Share Email Print
cover

Proceedings Paper

Image fusion based on millimeter-wave for concealed weapon detection
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

This paper describes a novel multi sensors image fusion technology which is presented for concealed weapon detection (CWD). It is known to all, because of the good transparency of the clothes at millimeter wave band, a millimeter wave radiometer can be used to image and distinguish concealed contraband beneath clothes, for example guns, knives, detonator and so on. As a result, we adopt the passive millimeter wave (PMMW) imaging technology for airport security. However, in consideration of the wavelength of millimeter wave and the single channel mechanical scanning, the millimeter wave image has law optical resolution, which can't meet the need of practical application. Therefore, visible image (VI), which has higher resolution, is proposed for the image fusion with the millimeter wave image to enhance the readability. Before the image fusion, a novel image pre-processing which specifics to the fusion of millimeter wave imaging and visible image is adopted. And in the process of image fusion, multi resolution analysis (MRA) based on Wavelet Transform (WT) is adopted. In this way, the experiment result shows that this method has advantages in concealed weapon detection and has practical significance.

Paper Details

Date Published: 5 November 2010
PDF: 7 pages
Proc. SPIE 7854, Infrared, Millimeter Wave, and Terahertz Technologies, 785414 (5 November 2010); doi: 10.1117/12.869725
Show Author Affiliations
Weiwen Zhu, Beijing Institute of Technology (China)
Yuejin Zhao, Beijing Institute of Technology (China)
Chao Deng, Capital Normal Univ. (China)
Cunlin Zhang, Capital Normal Univ. (China)
Yalin Zhang, Beijing Institute of Technology (China)
Jingshui Zhang, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 7854:
Infrared, Millimeter Wave, and Terahertz Technologies
Cunlin Zhang; Xi-Cheng Zhang; Peter H. Siegel; Li He; Sheng-Cai Shi, Editor(s)

© SPIE. Terms of Use
Back to Top