Particle Systems Analysis by Using Skeletonization and Exact Dilations
1999; Wiley; Volume: 16; Issue: 6 Linguagem: Inglês
10.1002/(sici)1521-4117(199912)16
ISSN1521-4117
Autores Tópico(s)Electron and X-Ray Spectroscopy Techniques
ResumoParticle & Particle Systems CharacterizationVolume 16, Issue 6 p. 273-277 Article Particle Systems Analysis by Using Skeletonization and Exact Dilations Luciano da Fontoura Costa, Luciano da Fontoura CostaSearch for more papers by this author Luciano da Fontoura Costa, Luciano da Fontoura CostaSearch for more papers by this author First published: 03 February 2000 https://doi.org/10.1002/(SICI)1521-4117(199912)16:6 3.0.CO;2-BCitations: 7AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Abstract This paper describes how the formation of particle systems can be investigated by using computer vision techniques, namely effective exact dilations and multiscale skeletonization. By assuming that all particles started to grow at the same time and had the same growth rate, a hypothesis that can be validated later, it becomes possible to infer the shape and distribution of the particles in the initial system configuration. Multiscale skeletons are obtained for each individual particle, and a suitable overall spatial scale, i.e. those best approximating the initial configuration, is determined as that immediately before the smallest particle fades. The thus obtained skeletons provide an estimate of the shape and position of the initial particles before uniform expansion. By using exact dilations, a generalized Dirichlet tessellation reconstruction of the particle system is obtained from these skeletons, and the similarity between this reconstruction and the original system can be used to validate the assumptions about the growth conditions. The proposed methodology is illustrated with respect to KC1 polycrystalline thin films. REFERENCES 1 B. N. Boots: Modifying Thiessen polygons. Can. Geogr. 31 (1987) 160–169. 10.1111/j.1541-0064.1987.tb01636.x Web of Science®Google Scholar 2 W. A. Johnson, R. F. Mehl: Reaction kinetics in processes of nucleation and growth. Am. Inst. Min. Metall. Eng. 135 (1939) 416–458. Web of Science®Google Scholar 3 H. J. Frost, C. V. Thompson: Computer simulation of microstructural evolution in thin files. Technical Publication J. Electron. Mater. 17 (1998) 447–458. 10.1007/BF02652132 Web of Science®Google Scholar 4 B. F. Schaudt: PhD Thesis, Dartmouth College, Department of Mathematics and Computer Science, 1991. Google Scholar 5 R. J. Schalkoff: Digital Image Processing and Computer vision. John Wiley and Sons, New York 1989. Google Scholar 6 L. F. Costa: 2D Scale Space Shape Analysis International, Workshop on Synthetic-Natural Hybrid Coding and Three Dimensional Imaging, pp. 214–217. Santorini, Greece 15–17 September, 1999. Google Scholar Citing Literature Volume16, Issue6December 1999Pages 273-277 ReferencesRelatedInformation
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