Image Fusion Based Concealed Weapon Detection

Author

Wang Yajie ; Lu Mowu

Author_Institution

Eng. Training Center, Shenyang Inst. of Aeronaut. Eng., Shenyang, China

fYear

2009

fDate

11-13 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

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.

Keywords

discrete wavelet transforms; image colour analysis; object detection; sensor fusion; trees (mathematics); weapons; DT-CWT; concealed weapon detection; directional selectivity; discrete wavelet transform; dual tree complex wavelet transform; millimeter wave image fusion; shift invariance; Discrete wavelet transforms; Filters; Frequency; Fuses; Image fusion; Image reconstruction; Image sensors; Infrared image sensors; Millimeter wave technology; Weapons;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4507-3

Electronic_ISBN

978-1-4244-4507-3

Type

conf

DOI

10.1109/CISE.2009.5364581

Filename

5364581