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Operational Deflection Shapes Magnification and Visualization Using Optical-Flow-Based Image Processing.

Adam Machynia¹, Ziemowit Dworakowski¹, Kajetan Dziedziech¹

¹Department of Robotics and Mechatronics, AGH University of Science and Technology, Al. A. Mickiewicza 30, 30-059 Krakow, Poland.

Sensors (Basel, Switzerland)

|December 28, 2021

Summary

This study introduces a novel method for extracting operational deflection shapes from video data using optical flow. The technique simplifies motion magnification for vibrating structures, making analysis more efficient.

Keywords:

cantilever beam image segmentation modal analysis motion magnification optical flow

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Area of Science:

Structural Dynamics
Vibrational Analysis
Computer Vision

Background:

Operational deflection shapes (ODS) and motion magnification offer valuable insights into vibrating structures.
Current methods for ODS acquisition and motion magnification are often manual, labor-intensive, or computationally inefficient.

Purpose of the Study:

To develop an automated and efficient method for extracting ODS from vision data.
To enable enhanced motion magnification of vibrating structures using optical flow analysis.
To overcome the limitations of manual point definition and high computational costs in existing techniques.

Main Methods:

Analysis and processing of optical flow information derived from video data.
Development of automated masking routines for optical flow data.
Frame-wise information fusion for robust ODS extraction.
Morphing of source data based on extracted ODS graphs for magnification.

Main Results:

Successful extraction of operational deflection shapes directly from vision data.
Demonstrated efficient motion magnification of vibrating structures.
Validation of the proposed method through numerical simulations and real-life experiments with cantilever beams.

Conclusions:

The proposed vision-based method offers an accessible and computationally efficient approach to ODS extraction and motion magnification.
Automated optical flow analysis significantly simplifies the process compared to traditional manual methods.
The technique shows promise for various applications in structural health monitoring and dynamic analysis.