FIELD: physics.
SUBSTANCE: method involves irradiating and picking up an array of images of the energy spectrum of X-ray radiation passing through the object, wherein the images are reconstructed from shadow projections of the object; generating, comparing and analysing current and reference integral characteristics of the image of the object; determining defects of the object and displaying object analysis results; the method being characterised by that reconstruction of the three-dimensional image is carried out by rotating and shifting the object on three mutually perpendicular axes of a coordinate system associated with the working area of the object while adjusting control of the latter, and current and reference integral characteristics of the image of the object are generated in form of spectral and fractal features.
EFFECT: high accuracy of assessing the inner structure of an object, high-speed of operation, broader functional capabilities and reduced hazard for maintenance personnel due to considerable X-ray exposure.
16 cl, 17 dwg
Title | Year | Author | Number |
---|---|---|---|
X-RAY TOMOGRAPHY METHOD AND DEVICE FOR ITS IMPLEMENTATION | 2020 |
|
RU2745304C1 |
METHOD OF CONTROLLING MOVING OBJECT AND APPARATUS FOR REALISING SAID METHOD | 2011 |
|
RU2476825C2 |
METHOD FOR VISUALIZING A 3D PORTRAIT OF A PERSON WITH ALTERED LIGHTING AND A COMPUTING DEVICE FOR IT | 2021 |
|
RU2757563C1 |
BRONCHIAL SOUND RECORD ANALYSIS DEVICE | 2013 |
|
RU2574713C2 |
METHOD AND SYSTEM OF SUPERRESOLUTION BY COMBINED SPARSE APPROXIMATION | 2016 |
|
RU2661537C2 |
THREE-DIMENSIONAL SCENE SCANNING DEVICE WITH NON-LAMBERT LIGHTING EFFECTS | 2014 |
|
RU2573767C1 |
DEVICE FOR RECONSTRUCTING A DEPTH MAP WITH SEARCHING FOR SIMILAR BLOCKS BASED ON A NEURAL NETWORK | 2019 |
|
RU2716311C1 |
METHOD FOR DIAGNOSING INFORMATION-CONVERTING ELEMENTS OF AIRCRAFT ON-BOARD EQUIPMENT BASED ON MACHINE LEARNING | 2022 |
|
RU2802976C1 |
SYSTEM FOR OPERATIONAL IDENTIFICATION OF MARINE TARGETS BY THEIR INFORMATION FIELDS BASED ON NEURO-FUZZY MODELS | 2021 |
|
RU2763384C1 |
PIPELINE DIAGNOSTIC ROBOT | 2018 |
|
RU2707644C1 |
Authors
Dates
2014-01-27—Published
2012-05-10—Filed