Geometric Morphology of Granular Materials
<|reference_start|>Geometric Morphology of Granular Materials: 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.<|reference_end|>
@article{schlei2000geometric,
    title={Geometric Morphology of Granular Materials},
    author={B. R. Schlei, L. Prasad, A. N. Skourikhine},
    journal={arXiv preprint arXiv:cs/0006047},
    year={2000},
    doi={10.1117/12.404821},
    number={LA-UR-00-2839},
    archivePrefix={arXiv},
    eprint={cs/0006047},
    primaryClass={cs.CV}
}