Metallography laboratories have a large number of expensive commercial programs for image processing and microstructure analysis. However, some of these program packages may already be outdated or only a few licenses are available.
However, there are also free alternatives that cover all steps of quantitative microstructure analysis. However, some of these programs are somewhat more complex to use and therefore initially appear to be less user-friendly.
In this live online lecture, we will therefore show you the basic steps of quantitative microstructure analysis using open source programs, using the ImageJ software as an example.
Topics and contents
- The stitching of several microscope images.
- The registration of different correlative microscope images, e.g. from light microscope, scanning electron microscope and electron backscatter diffraction (EBSD).
- New possibilities for segmentation, in particular trainable segmentation with the aid of machine learning.
- Binary image processing and quantitative evaluations.
- The inclusion of macros for automatic "batch processing".
Lecturer
Martin Müller, M. Sc. is currently a PhD student at the Steinbeis Research Center Material Engineering Center Saarland in Saarbrücken. In his doctoral thesis, he is working on the classification of steel microstructures, in particular bainitic microstructures, using machine learning methods. Before starting his doctorate, he worked for several years as a materials engineer in a forging and ring rolling mill.
In addition to his doctoral thesis, he is involved in the "Quantitative Microstructure Analysis" working group of the German Society for Materials Science, as well as lecturing in the advanced training courses "Introduction to modern methods of microstructure analysis" and "Machine learning - basics and applications to material science examples".
He also gives specialist lectures at renowned specialist congresses in the materials industry such as MS&T in Portland ("Tracing Bainite with the Help of Textural Parameters", September 2019) or the DGM metallography conference in Dresden ("Tracing Bainite with the Help of Textural Parameters", September 2019)
Date
Date: 28.08.2020
ONLINE-LIVE-LECTURE 10:30 - 11:30 AM
