An automated and unbiased grain segmentation method based on directional reflectance microscopy

• Main Authors: Wittwer, Mallory, Gaskey, Bernard, Seita, Matteo
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Materials; Grain Segmentation; Directional Reflectance Microscopy
• Online Access: https://hdl.handle.net/10356/160537
• Institution: Nanyang Technological University

Identifying individual grains from sectioned polycrystalline metals is a foundational task of microstructure analysis. However, traditional grain segmentation methods applied to optical micrographs may suffer from the lack of optical contrast between grains and require the manual selection of adjust...