Presentation + Paper
22 March 2021 Comparison of image correlation algorithms for hidden damage laser speckle photometry
J. van Welzen, F. G. Yuan, R. Y. Fong
Author Affiliations +
Abstract
This paper explores laser speckle photometry (LSP), a recent optical-based image analysis tool, as a method for detecting barely visible impact damage (BVID) in composite structures. This non-contact optical-based method provides the potential for large-scale scanning of aircrafts in real time to unearth BVID which would typically go unnoticed during routine inspections. In exploring LSP, various image correlation algorithms were tested to determine the most effective. The typical error-based correlation algorithm of mean squared error (MSE) was compared to two more advanced algorithms, normalized cross-correlation (NCC) and structural similarity (SSIM) index. Thermal LSP was conducted on a composite honeycomb panel with a surface dent of maximum depth 0.5 mm. The underlying damage was around 30 mm in diameter. When compared to the baseline experiments conducted using C-Scan and a laser Doppler vibrometer (LDV), it was found that only with limited cooling (around 2 seconds) did the algorithms produce consistently accurate results. Among the three imaging conditions, MSE and certain configurations of SSIM provided results that aligned the best with the baselines. Upon extended cooling, LSP produces too many false positives to be useful regardless of correlation algorithm used. Nevertheless, LSP shows great promise as a real-time non-destructive inspection tool not only in the aerospace industry but also in industries such as additive manufacturing where defects are prevalent.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. van Welzen, F. G. Yuan, and R. Y. Fong "Comparison of image correlation algorithms for hidden damage laser speckle photometry", Proc. SPIE 11591, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2021, 115910R (22 March 2021); https://doi.org/10.1117/12.2585921
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Speckle

Damage detection

Photometry

Cameras

Video

Eye

Light sources and illumination

Back to Top