12 research outputs found
Identification of materials in X-ray inspections of objects by the dual-energy method
The state-of-the-art, application experience, and trends in further perfection of the dualenergy method as used in digital-radiography and X-ray computed-tomography systems intended for nondestructive testing and screening of objects are reviewed
X-ray inspection systems with sandwich radiation detectors: A survey
At the present time, scanning systems for digital radiography (SSDR) are often used for inspection, as well as for defectoscopy and diagnostics of materials and products. The range of tasks solved on the basis of SSDR is very wide and includes, in particular, the tasks of detecting explosive, toxic and radioactive substances, as well as explosive devices, all types of weapons and damaging elements For the recognition of materials in the SSDR, intended for inspection control in order to ensure the safety of transportation and suppress attempts to smuggle illegal items, the method of dual energies (MDE) is widely used today. This method makes it possible to simultaneously evaluate two parameters of the object of control (OC) β the effective atomic number of the OC material and its mass thickness. This paper reports the state of X-ray inspection systems with sandwich radiation detectors. Besides, this paper presents description of dual energy method with using x-ray sandwich detectors in inspection control system for material recognition
Identification of materials in X-ray inspections of objects by the dual-energy method
The state-of-the-art, application experience, and trends in further perfection of the dualenergy method as used in digital-radiography and X-ray computed-tomography systems intended for nondestructive testing and screening of objects are reviewed
Mathematical models of radiation transparency of test objects when using sandwich X-ray radiation detectors
AbstractβA mathematical model of the output signals of an X-ray sandwich detector is presented
A cumulative sums algorithm for segmentation of digital Xβray images
A mathematical model of digital X-ray image of the test object is presented for the case when the main type of image distortion is the noise due to the quantum nature of the radiation. The new multilevel cumulative sums algorithm for automatic image segmentation is proposed. The algorithm is based on the edge detection of the segments homogeneous in brightness along the image rows and columns by repeatedly applying the cumulative sums procedure. The efficiency of the proposed algorithm is compared with the known threshold and Leader algorithms. The comparison was performed on simulated images as well as on the X-ray image of a weld. The mean square errors for the new algorithm were about two and three times less than for the threshold and Leader algorithms, correspondingly
Algorithm for optimizing the parameters of sandwich X-ray detectors
We describe an algorithm for optimizing the parameters of sandwich X-ray detectors in relation to the recognition of materials by the dual energy method. The application of the algorithm is illustrated by a concrete example in which we obtain the thicknesses of the first detector and the intermediate filter (that are part of a sandwich detector) that are optimal for detecting explosives for the given materials of the first detector (CsI) and the intermediate filter (Cu)