Detection of suspicious objects on the basis of analysis of human X-ray images

Abstract

A new approach is proposed for detection of suspicious objects in X-ray images for security assurance. The approach is based on using the statistical model of the image for detecting anomalies. The model is designed with the use of the “bag-of-words” with context definition of the word coordinates in the image during statistical pattern formation. It is experimentally demonstrated that this approach ensures adequate approximation of the result of detection of suspicious objects by humans.