Ka-me: a Voronoi image analyzer

Summary: 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...

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Detalles Bibliográficos
Autores principales: Khiripet, Noppadon, Khantuwan, Wongarnet, Jungck, John R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3381968/
https://www.ncbi.nlm.nih.gov/pubmed/22556369
http://dx.doi.org/10.1093/bioinformatics/bts253
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author Khiripet, Noppadon
Khantuwan, Wongarnet
Jungck, John R.
author_facet Khiripet, Noppadon
Khantuwan, Wongarnet
Jungck, John R.
author_sort Khiripet, Noppadon
collection PubMed
description Summary: 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). Availability: 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). Contact: noppadon.khiripet@nectec.or.th
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spelling pubmed-33819682012-06-25 Ka-me: a Voronoi image analyzer Khiripet, Noppadon Khantuwan, Wongarnet Jungck, John R. Bioinformatics Applications Note Summary: 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). Availability: 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). Contact: noppadon.khiripet@nectec.or.th Oxford University Press 2012-07-01 2012-05-03 /pmc/articles/PMC3381968/ /pubmed/22556369 http://dx.doi.org/10.1093/bioinformatics/bts253 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Khiripet, Noppadon
Khantuwan, Wongarnet
Jungck, John R.
Ka-me: a Voronoi image analyzer
title Ka-me: a Voronoi image analyzer
title_full Ka-me: a Voronoi image analyzer
title_fullStr Ka-me: a Voronoi image analyzer
title_full_unstemmed Ka-me: a Voronoi image analyzer
title_short Ka-me: a Voronoi image analyzer
title_sort ka-me: a voronoi image analyzer
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3381968/
https://www.ncbi.nlm.nih.gov/pubmed/22556369
http://dx.doi.org/10.1093/bioinformatics/bts253
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AT khantuwanwongarnet kameavoronoiimageanalyzer
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