NDLI: Multi-Level Segmentation for Concealed Object Detection with Multi-Channel Passive Millimeter Wave Imaging

Content Provider	IEEE Xplore Digital Library
Author	Seokwon Yeom Dong-Su Lee
Copyright Year	2013
Description	Author affiliation: Div. of Comput. & Commun. Eng., Daegu Univ., Gyeongsan, South Korea (Seokwon Yeom; Dong-Su Lee)
Abstract	Passive millimeter wave (MMW) imaging can create interpretable imagery of objects concealed under clothing. Unfortunately, low signal to noise ratio and low temperature resolution make automatic analysis of passive MMW images difficult. In this paper, we analyze passive MMW images generated by 8 mm regime MMW. The imaging system is composed of two channels: one with linear horizontal polarization and the other with linear vertical polarization. Both registration between horizontal and vertical polarization images and segmentation of concealed objects are addressed. Registration is performed by geometric feature matching and affine transform, while multi-level segmentation separates the human body region from the background, and concealed objects from the body region, sequentially. Experiments measuring average error probability show that our method separate objects with higher accuracy than the conventional method with a single channel image.
Starting Page	1
Ending Page	4
File Size	381186
Page Count	4
File Format	PDF
ISBN	9781479928453
DOI	10.1109/ICITCS.2013.6717861
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Image registration Image edge detection Millimeter wave technology Imaging Clustering algorithms Bayes methods
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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