Journal of Computer Science

Concealed Weapon Detection using Wavelet, Dual Tree Complex Wavelet Transform and Curvelet Transform

Ayush Dogra, Bhawna Goyal, Sunil Agrawal, Apoorav Maulik Sharma and Renu Vig

DOI : 10.3844/jcssp.2018.1341.1350

Journal of Computer Science

Volume 14, Issue 10

Pages 1341-1350

Abstract

In the field of military and law enforcement, detection and visualization of concealed weapons is a common practice. The infrared and visible cameras providing the information i.e., the characteristic visual features of the image and the thermal radiations are able to provide the complementary information like information about concealed objects or weapons. In this manuscript, we have proposed the integration of visible and infrared images of a scene using curvelet, wavelet and Dual Tree Complex Wavelet transform (DTCWT) with their brief introduction and background. The quantitative and visual results obtained from three techniques are compared and they reveal that DTCWT can be efficiently employed as an efficient image fusion tool in the context of concealed weapon detection.

Copyright

© 2018 Ayush Dogra, Bhawna Goyal, Sunil Agrawal, Apoorav Maulik Sharma and Renu Vig. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.