Integrating robust feature detection methodology with in-house DIC for identification and correlation of natural patterns on large structures

David Kumar; Chih-Hung Chiang; Sneha Prasad

doi:10.1117/12.2612758

18 April 2022 Integrating robust feature detection methodology with in-house DIC for identification and correlation of natural patterns on large structures

David Kumar, Chih-Hung Chiang, Sneha Prasad

Author Affiliations +

Proceedings Volume 12047, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVI; 120470C (2022) https://doi.org/10.1117/12.2612758
Event: SPIE Smart Structures + Nondestructive Evaluation, 2022, Long Beach, California, United States

Abstract

While developing a novel digital image correlation (DIC)-based NDT method, one has to integrate an automatic and robust feature detection method with the DIC technique. Several studies in the past employed various algorithms such as SIFT, SURF and BRISK with DIC for feature detection and correlation initiation purposes. However, our study shows that the performance of available algorithms is subjected to the image of interest from a particular field experiment. Therefore, the selection of the feature detection algorithms is an essential step towards accurate and efficient processing. We have developed a methodology that applies various feature detection algorithms (namely SIFT, SURF, BRISK, ORB and KAZE) and selects the most accurate, efficient and repeatable algorithm for detecting unique natural patterns. Moreover, the methodology is integrated with an in-house 3D-DIC program to identify as well as correlate natural patterns to obtain in-plane and out-of-plane displacements of large structures. The combined methodology is successfully applied and verified by performing field experiments with a light tower of 10m height and a utility-scale wind turbine. It is observed that the developed methodology is robust enough to detect natural patterns accurately and efficiently. It has also been demonstrated that the technique is successful with the determination of 3D displacements and natural frequencies of the large structures.

Conference Presentation

Citation Download Citation

David Kumar, Chih-Hung Chiang, and Sneha Prasad "Integrating robust feature detection methodology with in-house DIC for identification and correlation of natural patterns on large structures", Proc. SPIE 12047, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVI, 120470C (18 April 2022); https://doi.org/10.1117/12.2612758

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