Feb/March_AMP_Digital

A D V A N C E D M A T E R I A L S & P R O C E S S E S | F E B R U A R Y / M A R C H 2 0 2 1 1 3 M A C H I N E L E A R N I N G COMPUTER VISION AND MACHINE LEARNING TO QUANTIFY MICROSTRUCTURE Elizabeth A. Holm, FASM,* Ryan Cohn,* Nan Gao,* Andrew R. Kitahara,* Bo Lei,* and Srujana Rao Yarasi* Carnegie Mellon University, Pittsburgh Thomas P. Matson, Carnegie Mellon University, Pittsburgh and MIT, Cambridge, Massachusetts Computer vision and machine learning systems for microstructural characterization and analysis are used for a variety of image analysis tasks, including image classification, semantic segmentation, object detection, and instance segmentation, leading to accurate, autonomous, objective, repeatable results in an indefatigable and permanently available manner. *Member of ASM International