Geometric Morphology of Granular Materials

Details Geometric Morphology of Granular Materials Geometric Morphology of Granular Materials

2000-06-30

arxiv.org/abs/cs/0006047v1

Computer Science

Computer Vision and Pattern Recognition

6 pages, 9 figures. For more information visit http://www.nis.lanl.gov/~bschlei/labvis/index.html

Scientific paper

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 tesselation 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.

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