About this Abstract |
Meeting |
6th International Congress on 3D Materials Science (3DMS 2022)
|
Symposium
|
6th International Congress on 3D Materials Science (3DMS 2022)
|
Presentation Title |
Dictionary and Spherical Indexing of EBSD Data Sets |
Author(s) |
Marc J. De Graef |
On-Site Speaker (Planned) |
Marc J. De Graef |
Abstract Scope |
In 3D serial sectioning experiments, EBSD is a preferred acquisition mode because grain or phase segmentation becomes relatively simple. At the same time, EBSD is usually the rate limiting step when a large field of view is desired. Thus, indexing approaches that can work in real-time and keep up with recent advances in electron detector systems will have a significant impact on the overall acquisition time for a 3D experiment. In this contribution, we will review two whole-pattern indexing approaches: dictionary indexing (DI) and spherical indexing (SI) and compare them to each other and traditional Hough-based indexing (HI) in terms of execution speed and angular accuracy. We will highlight examples of DI and SI applications to serial sectioning data sets and discuss under which circumstances each approach produces the best results. We will conclude with an overview of available open source tools for EBSD data analysis. |
Proceedings Inclusion? |
Definite: Other |