By Topic

Image Fusion Based Concealed Weapon Detection

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Wang Yajie ; Eng. Training Center, Shenyang Inst. of Aeronaut. Eng., Shenyang, China ; Lu Mowu

Two concealed weapon detection methods based on image fusion are presented. The dual tree complex wavelet transform (DT-CWT) is used to image fusion processing because of its shift invariance and directional selectivity, and it is preferable to traditional discrete wavelet transform (DWT). The fusion rules based on multi-scheme are put forward in the gray visual image and millimeter wave image fusion. The DT-CWT is combined with color space to fuse color visual image and infrared image. Two experiments indicate that the concealed weapons are detected and the detail information of visible images is expressed clearly. And it also shows that DT-CWT is superior to DWT.

Published in:

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Date of Conference:

11-13 Dec. 2009