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Proceedings Paper

Concealed weapon detection: an image fusion approach
Author(s): Mucahit K. Uner; Liane C. Ramac; Pramod K. Varshney; Mark G. Alford
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Paper 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.

Paper Details

Date Published: 19 February 1997
PDF: 10 pages
Proc. SPIE 2942, Investigative Image Processing, (19 February 1997); doi: 10.1117/12.267176
Show Author Affiliations
Mucahit K. Uner, Syracuse Univ. (United States)
Liane C. Ramac, Syracuse Univ. (United States)
Pramod K. Varshney, Syracuse Univ. (United States)
Mark G. Alford, Rome Lab. (United States)

Published in SPIE Proceedings Vol. 2942:
Investigative Image Processing
Leonid I. Rudin; Simon K. Bramble, Editor(s)

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