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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

29 Scopus citations

Abstract

In this paper 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.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing
PublisherIEEE Computer Society
Pages532-536
Number of pages5
Volume3
StatePublished - 1999
EventInternational Conference on Image Processing (ICIP'99) - Kobe, Jpn
Duration: Oct 24 1999Oct 28 1999

Other

OtherInternational Conference on Image Processing (ICIP'99)
CityKobe, Jpn
Period10/24/9910/28/99

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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  • Cite this

    Varshney, P. K., Chen, H. M., Ramac, L. C., Uner, M., Ferris, D., & Alford, M. (1999). Registration and fusion of infrared and millimeter wave images for concealed weapon detection. In IEEE International Conference on Image Processing (Vol. 3, pp. 532-536). IEEE Computer Society.