RayIntegration methods for real-time reconstruction using a compact measuring device

The article presents an application for object detection using ultrasound transmission tomography. An ultrasonic tomograph was designed, which detects objects using the RayIntegration proprietary algorithm. The designed measuring system consists of a measuring device, sensors and applications for image reconstruction. Knowing the features of a given solution, you can choose the appropriate method of image reconstruction. The obtained tomographic imaging can be a faithful image of the geometry of the studied area. It allows its location in the analyzed object. The article develops dedicated algorithms as a technique of low computational complexity for real-time image reconstruction using equipment built into a measuring device.

[1]  Tomasz Rymarczyk,et al.  Applying industrial tomography to control and optimization flow systems , 2018, Open Physics.

[2]  Jacek Kryszyn,et al.  Toolbox for 3D modelling and image reconstruction in electrical capacitance tomography , 2017 .

[3]  T. Gudra,et al.  The multi-element probes for ultrasound transmission tomography , 2006 .

[4]  Manuchehr Soleimani,et al.  Planar array 3D electrical capacitive tomography , 2013 .

[5]  Tomasz Rymarczyk,et al.  1 Non-destructive System Based on Electrical 2 Tomography and Machine Learning to Analyze 3 Moisture of Buildings 4 , 2018 .

[6]  Andrzej Romanowski Contextual Processing of Electrical Capacitance Tomography Measurement Data for Temporal Modeling of Pneumatic Conveying Process , 2018, 2018 Federated Conference on Computer Science and Information Systems (FedCSIS).

[7]  Lidia Jackowska-Strumiłło,et al.  Acceleration of image reconstruction process in the electrical capacitance tomography 3D in heterogeneous, Multi-GPU system , 2017 .

[8]  Andrzej Krawczyk,et al.  Temperature distribution around thin electroconductive layers created on composite textile substrates , 2018 .

[9]  Marcin Ziolkowski,et al.  Analytical and numerical models of the magnetoacoustic tomography with magnetic induction , 2018 .

[10]  M. Szkodo,et al.  Selection of material for X-ray tomography analysis and DEM simulations: comparison between granular materials of biological and non-biological origins , 2018, Granular Matter.

[11]  Hailin Feng,et al.  Image Reconstruction of Internal Defects in Wood Based on Segmented Propagation Rays of Stress Waves , 2018, Applied Sciences.

[12]  Avinash C. Kak,et al.  Principles of computerized tomographic imaging , 2001, Classics in applied mathematics.

[13]  Grzegorz Psuj Multi-Sensor Data Integration Using Deep Learning for Characterization of Defects in Steel Elements † , 2018, Sensors.

[14]  Arkadiusz Gola,et al.  Integer Linear Programming in Optimization of Waste After Cutting in the Furniture Manufacturing , 2017 .

[15]  Robert Banasiak,et al.  Metrological evaluation of a 3D electrical capacitance tomography measurement system for two-phase flow fraction determination , 2013 .

[16]  Gabor T. Herman,et al.  Image reconstruction from projections : the fundamentals of computerized tomography , 1980 .

[17]  Przemyslaw Lopato,et al.  Full wave numerical modelling of terahertz systems for nondestructive evaluation of dielectric structures , 2013 .

[18]  David Valis,et al.  Application of selected Levy processes for degradation modelling of long range mine belt using real-time data , 2018 .

[19]  M Wang Industrial Tomography: Systems and Applications , 2015 .

[20]  Suresh Venkatasubramanian,et al.  Multiple Target Tracking with RF Sensor Networks , 2013, IEEE Transactions on Mobile Computing.

[21]  Tomasz Rymarczyk,et al.  Application of neural reconstruction of tomographic images in the problem of reliability of flood protection facilities , 2018, Eksploatacja i Niezawodnosc - Maintenance and Reliability.

[22]  Tomasz Rymarczyk,et al.  Tomography Technology Application for Workflows of Gases Monitoring in the Automotive Systems , 2008 .