The application of feed-forward neural network for the X-ray image fusion

Under the current urgent circumstances of the aviation security, all countries are intensifying the security inspection. In the view of the specialty of dangerous goods, simulating the X-ray images of the superimposed objects to train inspectors, would become a convenient and effective way to strengthen the inspectors' priori knowledge of threatening ones. In this paper, depending on the learning algorithm 'OWO-HWO', we design a three layers feed-forward neural network. The characteristics and advantages of the neural network on the field of X-ray image fusion are completely analyzed in the paper.