Geometric morphology of granular materials

Bernd R. Schlei; Lakshman Prasad; Alexei N. Skourikhine

doi:10.1117/12.404821

23 October 2000 Geometric morphology of granular materials

Bernd R. Schlei, Lakshman Prasad, Alexei N. Skourikhine

Proceedings Volume 4117, Vision Geometry IX; (2000) https://doi.org/10.1117/12.404821
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

We present a new method to transform the spectral pixel information of a micrograph into an affine geometric description, which allows us to analyze the morphology of granular materials. We use spectral and pulse-coupled neural network based segmentation techniques to generate blobs, and a newly developed algorithm to extract dilated contours. A constrained Delaunay tessellation of the contour points results in a triangular mesh. This mesh is the basic ingredient of the Chodal Axis Transform, which provides a morphological decomposition of shapes. Such decomposition allows for grain separation and the efficient computation of the statistical features of granular materials.

Citation Download Citation

Bernd R. Schlei, Lakshman Prasad, and Alexei N. Skourikhine "Geometric morphology of granular materials", Proc. SPIE 4117, Vision Geometry IX, (23 October 2000); https://doi.org/10.1117/12.404821

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