Physical Sciences and Mathematics Commons^™

3d Grain Segmentation In Superalloy Images Using Multichannel Edge-Weighted Centroidal Voronoi Tessellation Based Methods, Yu Cao

Theses and Dissertations

Accurate grain segmentation on 3D superalloy images is very important in materials science and engineering. From grain segmentation, we can derive the underlying superalloy grains' micro-structures, based on which many important physical, mechanical and chemical properties of the superalloy samples can be evaluated. However, grain segmentation is usually a very challenging problem since: 1) even a small 3D superalloy sample may contain hundreds of grains; 2) carbides and noises may degrade the imaging quality; and 3) the intensity within a grain may not be homogeneous. In addition, the same grain may present different appearances, i.e. intensities, under different microscope settings. …