IR and Multi Scale Retinex image Enhancement for Concealed Weapon Detection

Nashwan Jasim Hussein (Huazhong University of Science and Technology)
Fei Hu (Huazhong University of Science and Technology)
Hao Hu (Huazhong University of Science and Technology)
Abdalrazak Tareq Rahem (National University of Malaysia)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 1, No 2: February 2016

A Concealed Weapon Detection (CWD) had been developed by a large number of researchers and technologies. As a result of the weakness of the infrared images in unique altogether graphic items, infrared and MMW images become inaccurate and insufficient to obviously detectand deal withweaponry objectsin an invisible setting. This article uses Multi Scale Retinex and contrast stretching image processing enhancement techniques to improve the recognition of weapons concealed below attire. Specifically, the focus of the study is on detecting weapons and ammos by enhancing the IR pictures based on image processing techniques. Evaluation techniques were empirically proved to be able to show the enhancement percentage progress.