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

Lixiao Zhang, Johan Stiens, Amna Elhawil, Roger Vounckx
Author Information
  1. Lixiao Zhang: Department of Electronics and Informatics, Vrije Universiteit Brussel, Pleinlaan 2 Brussels, B-1050, Belgium. lzhang@etro.vub.ac.be

Abstract

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.

Word Cloud

Created with Highcharts 10.0.0imagemillimeter-waveobjectdetectionmultispectralilluminationsystemsconcealedactiveimagesobjectstechniquesActiveimagingofferpossibilitymuchhighercontrastpassiveespeciallyindoorapplicationsstudyingdifferenttestderivedWbandshowcriticaldetectabilitytargetsalsoproposeusechangeincludingdifferencingnormalizeddifferencevegetationindexprinciplecomponentanalysisprocessresultsdemonstratecansignificantlyrevealfeatureshiddenartifactsimproveappearanceMultispectralprocessing

Similar Articles

Cited By