Concealed weapon detection: An image fusion approach

Mücahit K. Üner, Liane C. Ramac, Pramod K. Varshney, Mark G. Alford

Research output: Contribution to journalConference article

26 Scopus citations

Abstract

This paper presents an approach to image fusion for concealed weapon detection (CWD) applications. In this work, we use image fusion to combine complementary image information from different sensors to obtain a single composite image with more detailed and complete information content. As a result of this processing, the new images are more useful for human perception and automatic computer analysis, tasks such as feature extraction and object recognition. In the fusion process, the images are first decomposed based on wavelet transform. Then at each lower resolution the images are fused by using several feature selection algorithms. The final composite image is obtained by taking the inverse wavelet transform of the fused wavelet coefficients. This technique has been applied to real data obtained from IR sensors. Special emphasis is placed on situations when weapons may not be completely visible from the sensors. Fusion results that demonstrate the utility of our approach are presented.

Original languageEnglish (US)
Pages (from-to)123-132
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume2942
DOIs
StatePublished - Dec 1 1997
EventInvestigative Image Processing - Boston, MA, United States
Duration: Nov 19 1996Nov 19 1996

Keywords

  • Concealed weapon detection
  • Image decomposition
  • Image fusion
  • Multiresolution analysis
  • Multiscale image processing
  • Multisensor systems
  • Sensor fusion
  • Wavelets

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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