• DocumentCode
    2326490
  • Title

    Image fusion of visual and millimeter wave images for concealed object detection

  • Author

    Lee, Hyoung ; Yeom, Seokwon ; Guschin, V.P. ; Son, Jung-Young ; Kim, Shin-Hwan

  • Author_Institution
    Daegu Univ., Gyeungbuk, South Korea
  • fYear
    2009
  • fDate
    21-25 Sept. 2009
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    This paper addresses passive millimeter wave imaging (PMMW) and image fusion for concealed object detection. The PMMW imaging system forms images by means of passive detection of millimeter wave radiation. The PMMW imaging has the capability of detecting concealed metal and dielectric objects under clothing. An image fusion method is developed using the discrete wavelet transform (DWT) and a fusion rule. We adopt the symlets (symmetrical wavelets) for the multi-resolution analysis (MRA). The minimum scheme is applied to the approximation and the weighted-average scheme to the detail coefficients. The experimental and simulation results show the presented technique can detect the concealed object and fuse it with a visual image.
  • Keywords
    approximation theory; discrete wavelet transforms; image fusion; image resolution; millimetre wave detectors; millimetre wave imaging; object detection; DWT; MRA; PMMW imaging system; approximation method; clothing; concealed metal detection; concealed object detection; dielectric object; discrete wavelet transform; millimeter wave radiation; multiresolution analysis; passive millimeter wave imaging; symmetrical wavelet; textile material; visual image fusion; weighted-average scheme; Clothing; Dielectrics; Discrete wavelet transforms; Fuses; Image fusion; Millimeter wave technology; Multiresolution analysis; Object detection; Radiation detectors; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Infrared, Millimeter, and Terahertz Waves, 2009. IRMMW-THz 2009. 34th International Conference on
  • Conference_Location
    Busan
  • Print_ISBN
    978-1-4244-5416-7
  • Electronic_ISBN
    978-1-4244-5417-4
  • Type

    conf

  • DOI
    10.1109/ICIMW.2009.5325617
  • Filename
    5325617