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An Adaptive Brightness Global Digital Image Correlation Method for Deformation Measurement Using Overexposed Images
Chunyuan Gong1,2,3, Boxing Qian2, Qianhai Lu2
1State Key Laboratory for Manufacturing Systems Engineering, School of Mechanical Engineering, Xi'an Jiao Tong University, Xi'an 710049, China.
Sensors (Basel, Switzerland)
|July 12, 2025
Summary
This study introduces an Adaptive Brightness Global Digital Image Correlation method to precisely measure deformation from overexposed images, common in welding. The technique enhances image quality for accurate weld deformation tracking and process optimization.
Area of Science:
- Materials Science
- Optical Engineering
- Mechanical Engineering
Background:
- Overexposed images from welding or metal reflection hinder accurate deformation measurements.
- Existing methods struggle with the high reflectivity and dynamic nature of welding processes.
- Tracking surface deformation is critical for understanding and optimizing manufacturing processes.
Purpose of the Study:
- To develop a robust method for deformation measurement using overexposed images.
- To improve the accuracy and reliability of digital image correlation in challenging industrial settings.
- To enable dynamic deformation measurement during welding for process optimization.
Main Methods:
- An Adaptive Brightness Global Digital Image Correlation (AB-GDIC) method is proposed.
- Image overexposure is managed using an improved Dark Channel Prior method for brightness adjustment.
- Finite Element Partitioning is integrated for enhanced deformation analysis.
Main Results:
- The improved dark channel method effectively adjusts image brightness without distorting distribution.
- A significant increase in Mean Intensity Gradient was observed in modified image partitions.
- The method successfully enabled dynamic measurement of weld deformation from overexposed images.
Conclusions:
- The AB-GDIC method overcomes limitations in measuring deformation from overexposed welding images.
- Accurate dynamic deformation tracking, including unstable and angular deformation, is achievable.
- The findings support optimizing welding processes through detailed deformation analysis.

