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Computación y Sistemas
versão On-line ISSN 2007-9737versão impressa ISSN 1405-5546
Comp. y Sist. vol.19 no.2 Ciudad de México Abr./Jun. 2015
https://doi.org/10.13053/CyS-19-2-1935
Artículos
Hierarchical Contour Shape Analysis
Daniel Valdés-Amaro1 y Abhir Bhalerao2
1 Benemérita Universidad Autónoma de Puebla, Faculty of Computer Science, Puebla, México. daniel.valdes@cs.buap.mx
2 University of Warwick, Department of Computer Science, Coventry, UK. abhir.bhalerao@dcs.warwick.ac.uk
Corresponding author is Daniel Valdés-Amaro.
Article received on 31/01/2014.
Accepted on 17/04/2015.
Abstract
This paper introduces a novel shape representation which performs shape analysis in a hierarchical fashion using Gaussian and Laplacian pyramids. A background on hierarchical shape analysis is given along with a detailed explanation of the hierarchical method, and results are shown on natural contours. A comparison is performed between the new method and our proposed approach using Point Distribution Models with different shape sets. The paper concludes with a discussion and proposes ideas on how the new approach may be extended.
Keywords: Shape analysis, shape representation, Gaussian pyramids, shape models, brain contours.
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Acknowledgment
D. Valdés-Amaro would like to thank SEP-PROMEP (PROMEP/103.5/12/8136) for the financial support given to this research.
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