Application of mathematical morphology to the automated determination of microstructural characteristics of composites

Mathew S. Chackalackal; John P. Basart

doi:10.1117/12.46129

1 July 1991 Application of mathematical morphology to the automated determination of microstructural characteristics of composites

Mathew S. Chackalackal, John P. Basart

Author Affiliations +

Proceedings Volume 1568, Image Algebra and Morphological Image Processing II; (1991) https://doi.org/10.1117/12.46129
Event: San Diego, '91, 1991, San Diego, CA, United States

Abstract

Secondary electron microscope images of silicon carbide particles in aluminum metal matrix composites show that many of the particles appear in clusters. In order to determine the stiffness of the material, microstructural characteristics such as orientation and percentage area of the particles have to be evaluated. To facilitate this, the connectivity among the various particles has to be broken. Three algorithms have been developed that are fairly successful in separating the particles. The results of the three methods are compared with a manual method of separating the particles in images.

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Mathew S. Chackalackal and John P. Basart "Application of mathematical morphology to the automated determination of microstructural characteristics of composites", Proc. SPIE 1568, Image Algebra and Morphological Image Processing II, (1 July 1991); https://doi.org/10.1117/12.46129

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