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Proceedings Paper

Multi-channel millimeter wave image registration and segmentation for concealed object detection
Author(s): Dong-Su Lee; Seokwon Yeom; Jung-Young Son; Shin-Hwan Kim
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Paper Abstract

We address an image registration and segmentation method to detect concealed objects captured by passive millimeter wave (MMW) imaging. Passive MMW imaging can create interpretable imagery on the objects concealed under clothing. Due to the penetrating property of the MMW imaging, the MMW imaging system is often employed for the security and defense system. In this paper, we utilize a multi-channel PMMW imaging system operating at the 8 mm regime with linear polarization. Image registration and segmentation are performed to detect concealed objects under clothing. The registration is preceded to align different channel images by means of geometric feature extraction and a matching process. The Linde-Buzo-Gray (LBG) vector quantization with multi-channel information is adopted to segment the concealed object from the body area. In the experiment, the automated image registration and segmentation are performed with various concealed objects including a metal axe and a liquid container.

Paper Details

Date Published: 5 May 2010
PDF: 6 pages
Proc. SPIE 7666, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX, 76662U (5 May 2010); doi: 10.1117/12.850062
Show Author Affiliations
Dong-Su Lee, Daegu Univ. (Korea, Republic of)
Seokwon Yeom, Daegu Univ. (Korea, Republic of)
Jung-Young Son, Daegu Univ. (Korea, Republic of)
Shin-Hwan Kim, Daegu Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 7666:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX
Edward M. Carapezza, Editor(s)

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