This paper proposes a methodology to obtain a model for estimating relative densities of unknown substances contained in Improvised Explosive Devices (IEDs) using scanning technology and image processing techniques. We assert that this technique can provide teams involved in explosive threat detection relevant information pertaining to a range of possible types of explosive material contained within an IED.