Microtexture region segmentation using matching component analysis applied to eddy current testing data

Laura Homa; John Wertz; Matthew Cherry

doi:10.1117/12.2661855

14 June 2023 Microtexture region segmentation using matching component analysis applied to eddy current testing data

Laura Homa, John Wertz, Matthew Cherry

Proceedings Volume 12547, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXII; 125470Q (2023) https://doi.org/10.1117/12.2661855
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Microtexture regions (MTR) are collections of grains with similar crystallographic orientation whose presence in aerospace components can be detrimental to component life. As such, a method to detect and characterize MTR is needed. In this work, we develop an algorithm to determine the boundary and average crystallographic orientation of MTR within a specimen from eddy current testing (ECT) data. The algorithm uses an extension of matching component analysis combined with a technique developed for image deblurring. We successfully apply the algorithm to simulated ECT data of a realistic titanium specimen.

Conference Presentation

Citation Download Citation

Laura Homa, John Wertz, and Matthew Cherry "Microtexture region segmentation using matching component analysis applied to eddy current testing data", Proc. SPIE 12547, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXII, 125470Q (14 June 2023); https://doi.org/10.1117/12.2661855

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