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High energy dual-energy X-ray Digital Radiography(DR) imaging is mainly usedin material recognition of the cargo inspection. We introduce the developmenthistory and the principle of the technology and describe the data process flowof our system. The system corrects original data to get the dual-energytransparence image. Material categories of all points in the image areidentified by the classification curve which is related to the X-ray energyspectrum. For the calibration of classification curve, our strategy involves abasic curve calibration and a real-time correction devoted to enhance theclassification accuracy. Image segmentation and denoising methods are appliedto smooth the image. The image contains more information after colorization.Some results show that our methods achieve the desired effect.

A Curve-based Material Recognition Method in MeV Dual-energy X-ray Imaging System