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Ka-me: Voronoi Image Analyzer 1.0

By John R Jungck1

1. Interdisciplinary Science Learning Center at the University of Delaware

Ka-me is a Voronoi image analyzer that allows users to analyze any image with a convex polygonal tessellation or any spatial point distribution by fitting Voronoi polygons and their dual, Delaunay triangulations, to the pattern.

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Version 1.0a - published on 15 Jun 2015

This tool is closed source.

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Abstract

Ka-me is a Voronoi image analyzer that allows users to analyze any image with a convex polygonal tessellation or any spatial point distribution by fitting Voronoi polygons and their dual, Delaunay triangulations, to the pattern. The analytical tools include a variety of graph theoretic and geometric tools that summarize the distribution of the numbers of edges per face, areas, perimeters, angles of Delaunay triangle edges (anglograms), Gabriel graphs, nearest neighbor graphs, minimal spanning trees, Ulam trees, Pitteway tests, circumcircles and convexhulls, as well as spatial statistics (Clark-Evans Nearest Neighborhood and Variance to Mean Ratio) and export functions for standard relationships (Lewis's Law, Desch's Law and Aboav-Weaire Law).

Developed By:  Wongnaret Khantuwan, Rawin Viruchpintu, Jutarat Khiripet  

Under the guidance of:  Noppadon Khiripet, John R. Jungck  

Copyright: National Electronics and Computer Technology Center, 2007  

Contact us: noppadon.khiripet@nectec.or.th

Cite this work

Researchers should cite this work as follows:

  • John R Jungck (2015), "Ka-me: Voronoi Image Analyzer 1.0," https://qubeshub.org/resources/kame.

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Submitter

Drew LaMar

College of William and Mary

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