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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2015-12-02
Shape Feature Analysis of Concealed Objects with Passive Millimeter Wave Imaging
By
Seokwon Yeom,

    Dr. Seokwon Yeom

    Division of Computer and Communication Engineering

    Daegu Univ

    South Korea

    Homepage

Dongsu Lee,

    Dr. Dongsu Lee

    Daegu University

    Korea

    Homepage

Joungyoung Son

    Dr. Joungyoung Son

    Daegu University

    Korea

    Homepage

Progress In Electromagnetics Research Letters, Vol. 57, 131-137, 2015
doi:10.2528/PIERL15081007 | Google Scholar

Abstract
Millimeter wave (MMW) imaging has found rapid adoption in security applications such as concealed object detection under clothing. However, the imaging quality is often degraded due to resolution limit and low signal level. This study addresses shape feature analysis following concealed object detection. The object region is extracted by multi-level segmentation. Shape features are composed of several descriptors which are object area, perimeter, major and minor axes of the basic rectangle, rectangularity, compactness, and eccentricity. In the experiments, three objects (gun, hand ax, and plastic bottle containing liquid skin aid) concealed under clothing are captured by the passive MMW imaging system. The extracted shape features are compared with the true features from the object model showing good accuracy.
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Citation
Seokwon Yeom, Dongsu Lee, and Joungyoung Son, "Shape Feature Analysis of Concealed Objects with Passive Millimeter Wave Imaging," Progress In Electromagnetics Research Letters, Vol. 57, 131-137, 2015.
doi:10.2528/PIERL15081007
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