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Proceedings Paper

Application of mathematical morphology to the automated determination of microstructural characteristics of composites
Author(s): Mathew S. Chackalackal; John P. Basart
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Paper 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.

Paper Details

Date Published: 1 July 1991
PDF: 10 pages
Proc. SPIE 1568, Image Algebra and Morphological Image Processing II, (1 July 1991); doi: 10.1117/12.46129
Show Author Affiliations
Mathew S. Chackalackal, Iowa State Univ. (United States)
John P. Basart, Iowa State Univ. (United States)

Published in SPIE Proceedings Vol. 1568:
Image Algebra and Morphological Image Processing II
Paul D. Gader; Edward R. Dougherty, Editor(s)

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