X-ray testing by computer vision

X-ray imaging has been developed not only for its use in medical imaging for human beings, but also for materials or objects, where the aim is to analyze –nondestructively– those inner parts that are undetectable to the naked eye. Thus, X-ray testing is used to determine if a test object de-viates from a given set of specifications. Typical applica-tions are analysis of food products, screening of baggage, inspection of automotive parts, and quality control of welds. In order to achieve efficient and effective X-ray testing, au-tomated and semi-automated systems are being developed to execute this task. In this paper, we present a general overview of computer vision methodologies that have been used in X-ray testing. In addition, we review some tech-niques that have been applied in certain relevant applica-tions; and we introduce a public database of X-ray images that can be used for testing and evaluation of image anal-ysis and computer vision algorithms. Finally, we conclude that the following: that there are some areas –like casting inspection – where automated systems are very effective, and other application areas –such as baggage screening – where human inspection is still used; there are certain application areas –like weld and cargo inspections – where the process is semi-automatic; and there is some research in areas – including food analysis – where processes are beginning to be characterized by the use of X-ray imaging. 1