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.

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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 (Presented at SPIE Defense + Commercial Sensing: May 03, 2023; Published: 14 June 2023); https://doi.org/10.1117/12.2661855.