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

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.