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Proceedings Paper

Image enhancement and denoising by wavelet transform for concealed weapon detection
Author(s): M. R. Raghuveer
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Paper Abstract

Wavelet transform based techniques were developed and investigated for isolation and enhancement of objects in images. The primary motivation is the development of image processing algorithms as part of an automatic system for the detection of concealed weapons under a person's clothing; a problem of considerable potential utility to the military in certain common types of deployment in the post cold war environment such as small unit operations. The issue has potential for other dual use purposes such as law enforcement applications. Wavelet decompositions of the currently available images in the Rome Laboratory database, namely, noisy, low contrast, infrared images, were studied in space-scale-amplitude space. An isolation technique for separating potential suspicious regions/objects from surrounding clutter has been proposed. Based on the images available, the study indicates that the technique is promising in providing the image enhancement necessary for further pattern detection and classification.

Paper Details

Date Published: 19 February 1997
PDF: 11 pages
Proc. SPIE 2942, Investigative Image Processing, (19 February 1997); doi: 10.1117/12.267175
Show Author Affiliations
M. R. Raghuveer, Rochester Institute of Technology (United States)

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

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