Concealed weapon detection: an image fusion approach

Mucahit K. Uner; Liane C. Ramac; Pramod K. Varshney; Mark G. Alford

doi:10.1117/12.267176

19 February 1997 Concealed weapon detection: an image fusion approach

Mucahit K. Uner, Liane C. Ramac, Pramod K. Varshney, Mark G. Alford

Proceedings Volume 2942, Investigative Image Processing; (1997) https://doi.org/10.1117/12.267176
Event: Enabling Technologies for Law Enforcement and Security, 1996, Boston, MA, United States

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.

Citation Download Citation

Mucahit K. Uner, Liane C. Ramac, Pramod K. Varshney, and Mark G. Alford "Concealed weapon detection: an image fusion approach", Proc. SPIE 2942, Investigative Image Processing, (19 February 1997); https://doi.org/10.1117/12.267176

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