The Simulation-Based Approach for Random Speckle Pattern Representation in Synthetically Generated Video Sequences of Dynamic Phenomena

Structural health monitoring systems that employ vision data are under constant development. Generating synthetic vision data is an actual issue. It allows, for example, for obtention of additional data for machine learning techniques or predicting the result of observations using a vision system wi...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2022-12, Vol.22 (23), p.9489
Main Authors: Zdziebko, Paweł, Dworakowski, Ziemowit, Holak, Krzysztof
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Blender
Cameras
Computer graphics
Computer Simulation
Deformation
Digital imaging
Enhanced vision
Equipment and supplies
finite element analysis
Image processing
Lighting
Machine learning
Neural networks
Physics
random speckle patterns
rendering
Simulation
Simulation methods
Software
Speckle patterns
Structural health monitoring
Vision systems
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Summary:Structural health monitoring systems that employ vision data are under constant development. Generating synthetic vision data is an actual issue. It allows, for example, for obtention of additional data for machine learning techniques or predicting the result of observations using a vision system with a reduced number of experiments. A random speckle pattern (RSP) fixed on the surface of the observed structure is usually used in measurements. The determination of displacements of its areas using digital image correlation (DIC) methods allows for extracting the structure's deformation in both static and dynamic cases. An RSP modeling methodology for synthetic image generation is developed within this paper. The proposed approach combines the finite element modeling technique and simulation results with the Blender graphics environment to generate video sequences of the mechanical structure with deformable RSP attached to it. The comparative analysis showed high compliance of the displacement between the synthetic images processed with the DIC method and numerical data.
ISSN:1424-8220
1424-8220
DOI:10.3390/s22239489