• DocumentCode
    350313
  • Title

    Registration and fusion of infrared and millimeter wave images for concealed weapon detection

  • Author

    Varshney, Pramod K. ; Chen, Hua-Mei ; Ramac, Liane C. ; Uner, Mucahit ; Ferris, David ; Alford, Mark

  • Author_Institution
    Syracuse Univ., NY, USA
  • Volume
    3
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    532
  • Abstract
    We present an approach to automatically register and fuse IR and MMW images for concealed weapon detection. The distortion between the two images is assumed to be a rigid body transformation without rotation and we assume that the scale factor can be found from both the sensor parameters and the distance ratio of the object to the two sensors. Our registration procedure involves image segmentation, binary correlation and other image processing algorithms. Our fusion method involves a pyramidal image decomposition scheme based on the wavelet transform. Performance of the image registration and image fusion algorithm is illustrated through an example
  • Keywords
    image registration; image segmentation; infrared imaging; millimetre wave imaging; object detection; sensor fusion; wavelet transforms; weapons; binary correlation; concealed weapon detection; distance ratio; distortion; image fusion; image fusion algorithm; image processing algorithms; image registration; image segmentation; infrared images; millimeter wave images; pyramidal image decomposition scheme; registration procedure; rigid body transformation; scale factor; sensor parameters; wavelet transform; Fuses; Image decomposition; Image processing; Image segmentation; Image sensors; Infrared detectors; Infrared imaging; Millimeter wave technology; Wavelet transforms; Weapons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    0-7803-5467-2
  • Type

    conf

  • DOI
    10.1109/ICIP.1999.817171
  • Filename
    817171