Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7969158 | Materials Characterization | 2018 | 10 Pages |
Abstract
This work evaluated different methods for optimizing the image acquisition for a further image analysis (IA) based on the threshold binarization. Finally, the carbide size, distribution and morphology were determined after IA of the images acquired by aforementioned characterization techniques. Although the different techniques report some dispersion in the value for the average particle size, the particle inter-spacing and aspect ratio meet within the error value. The proposed characterization methodology provides statistically reliable data for a further evaluation of related physical properties in composites.
Related Topics
Physical Sciences and Engineering
Materials Science
Materials Science (General)
Authors
M. Agustina Guitar, Anna Scheid, Sebastián Suárez, Dominik Britz, MartÃn Duarte Guigou, Frank Mücklich,