1. Leaf Species Classification Based on a Botanical Shape Sub-classifier Strategy
- Author
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Guillaume Cerutti, H. Liu, Didier Coquin, Lionel Valet, Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (LISTIC), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Geometry Processing and Constrained Optimization (M2DisCo), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Université Lumière - Lyon 2 (UL2)
- Subjects
Belief functions theory ,Computer science ,0206 medical engineering ,Feature extraction ,Data classification ,Decision tree ,02 engineering and technology ,Dempster-Shafer theory ,[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing ,Dempster–Shafer theory ,0202 electrical engineering, electronic engineering, information engineering ,Species classification ,business.industry ,[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] ,Pattern recognition ,15. Life on land ,Random forest ,IEEE ,Plant species ,Leaf recognition ,020201 artificial intelligence & image processing ,Artificial intelligence ,business ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ,Classifier (UML) ,020602 bioinformatics - Abstract
6; International audience; Within the framework of a smartphone-based application, helping people to identify plant species in the wild, a sub-classifier strategy has been introduced. It aims at recognizing the botanical properties of a leaf, relatively to various global and local shape criteria used in flora books. A decision function is applied on these classified shape categories to produce a final decision on the species of the leaf. In this paper, the fusion strategy and its corresponding Random-Forest-based sub-classifiers are described. The results of these algorithms for botanical leaf shape recognition demonstrate that our classification algorithm can achieve good performance on leaf species identification while providing the user with relevant information for educational purposes.
- Published
- 2014