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Applied Optics

Applied Optics


  • Editor: James C. Wyant
  • Vol. 47, Iss. 34 — Dec. 1, 2008
  • pp: 6357–6365

Multispectral illumination and image processing techniques for active millimeter-wave concealed object detection

Lixiao Zhang, Johan Stiens, Amna Elhawil, and Roger Vounckx  »View Author Affiliations

Applied Optics, Vol. 47, Issue 34, pp. 6357-6365 (2008)

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Active millimeter-wave imaging systems for concealed object detection offer the possibility of much higher image contrast than passive systems, especially in indoor applications. By studying active millimeter-wave images of different test objects derived in the W band, we show that multispectral illumination is critical to the detectability of targets. We also propose to use image change detection techniques, including image differencing, normalized difference vegetation index, and principle component analysis to process the multispectral millimeter-wave images. The results demonstrate that multispectral illumination can significantly reveal the object features hidden by image artifacts and improve the appearance of the objects.

© 2008 Optical Society of America

OCIS Codes
(030.1670) Coherence and statistical optics : Coherent optical effects
(100.0100) Image processing : Image processing
(110.2960) Imaging systems : Image analysis
(110.4234) Imaging systems : Multispectral and hyperspectral imaging
(110.6795) Imaging systems : Terahertz imaging

ToC Category:
Image Processing

Original Manuscript: July 7, 2008
Revised Manuscript: October 2, 2008
Manuscript Accepted: October 24, 2008
Published: November 19, 2008

Lixiao Zhang, Johan Stiens, Amna Elhawil, and Roger Vounckx, "Multispectral illumination and image processing techniques for active millimeter-wave concealed object detection," Appl. Opt. 47, 6357-6365 (2008)

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