Abstract
The pipe wall thickness was estimated based on three-dimensional images of the pipe recovered from several X-ray projections, which were made in a limited angle of view. Since the effects of scattered radiation and beam hardening are up to 50 % of the main radiation, ignoring them leads to blur of the image and inaccuracy in determining dimensions. To restore pipe images from projections, a volume and/or shell representation of the pipe is used, as well as iterative Bayesian methods. Using these methods, the error in estimating the pipe wall thickness from the projection data can be equal to or less than 300 μm. It has been shown that standard X-ray projections on the film or imaging plates used to obtain data can be used to restore pipe wall thickness profiles in factory conditions.
Highlights
There are a number of industrial areas, such as chemical and petrochemical, energy, pipeline transport, where accurate estimates of the thickness of the walls of transporting pipes as well as the detection of defects in the solidity of pipes is a problem of the viability of the design and its safety
X-ray radiography allows contactless examination of the outer and inner surface of the pipe, but accurate estimates of corrosive and other damage to the pipe are not possible according to the radiograms used by X-ray methods give only a flat image of the 3D pattern and the estimates made with their help are very approximate
The problem could be solved by obtaining and analyzing three-dimensional tomographic images of pipes, but classical computed tomography is not applicable with limited access to the tube – a case that exists in practice
Summary
There are a number of industrial areas, such as chemical and petrochemical, energy, pipeline transport, where accurate estimates of the thickness of the walls of transporting pipes as well as the detection of defects in the solidity of pipes is a problem of the viability of the design and its safety. Для восстановления изображений труб из проекций применяются объемное и/или оболочечное представление трубы, а также итеративные байесовские методы. The problem could be solved by obtaining and analyzing three-dimensional tomographic images of pipes, but classical computed tomography is not applicable with limited access to the tube – a case that exists in practice.
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