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A calculation method of plant similarity giving consideration to different plant features.
Ding, Wei-long; Wu, Shui-sheng; Max, Nelson; Wu, Fu-li; Xu, Li-feng.
Afiliación
  • Ding WL; College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, China; Department of Computer Science, University of California, Davis 95616, USA. Electronic address: wlding@zjut.edu.cn.
  • Wu SS; College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, China.
  • Max N; Department of Computer Science, University of California, Davis 95616, USA.
  • Wu FL; College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, China; Department of Computer Science, University of California, Davis 95616, USA.
  • Xu LF; College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, China.
J Theor Biol ; 387: 136-43, 2015 Dec 21.
Article en En | MEDLINE | ID: mdl-26408336
ABSTRACT
A method to compute the similarity between different plants is proposed, using features of a plant׳s topological structure and peripheral contour, as well as its geometry. The topological structures are described using tree graphs, and their similarity can be calculated based on the edit distance of these graphs. The peripheral contour of a plant is abstracted by its three-dimensional convex hull, which is projected in several directions. The similarity of the different projections is calculated by an algorithm to compute the similarity of two-dimensional shapes. The similarity of the geometrical detail is computed by considering the geometrical properties of different level branches. Finally the overall similarity between different plants is calculated by combining these different similarity measures. The validity of proposed method is evaluated by detailed experiments.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Plantas / Imagenología Tridimensional Idioma: En Revista: J Theor Biol Año: 2015 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Plantas / Imagenología Tridimensional Idioma: En Revista: J Theor Biol Año: 2015 Tipo del documento: Article