title: Ka-me: a Voronoi image analyzer.
abstract: CONCLUSIONS
  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).
  
  
  BACKGROUND
  Ka-me: a Voronoi image analyzer is available as an executable with documentation and sample applications from the BioQUEST Library (http://bioquest.org/downloads/kame_1.0.rar).
authors.affiliation: Knowledge Elicitation and Archiving Laboratory, National Electronics and Computer Technology Center (NECTEC), 112 Phahon Yothin Rd., Klong 1, Klong Luang, Pathumthani 12120, Thailand. noppadon.khiripet@nectec.or.th
authors.forename: Noppadon
authors.initials: N
authors.lastname: Khiripet
authors.forename: Wongarnet
authors.initials: W
authors.lastname: Khantuwan
authors.forename: John R
authors.initials: JR
authors.lastname: Jungck
mesh_terms: D007091:Image Processing, Computer-Assisted; D012984:Software