Concealed Weapon Detection(CWD) is the detection of weapons underneath a person’s clothing which is an
important obstacle for the security of general public as well as safety of public assets like airports and buildings.
Concealed weapons such as handbags , knives and explosives are detected using manual screening procedures.
It is desirable to detect the concealed weapons from a far off distance at airports and other secured places. A
number of sensors with different phenomenology have been developed to observe objects underneath’s persons
clothing. As no single technology provide improved performance in CWD applications, different image fusion
schemes based on pixel level is proposed . Image obtained from visual camera does not reveal any information
hidden under persons clothing whereas MWM image obtained from MWM (Millimeter Wave Imaging )sensor
reveal clothing penetration underneath persons cloth but cannot identify the person. In this paper fusion of
MWM image with visib