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A Parametric Active Polygon for Leaf Segmentation and Shape Estimation

Abstract : The identication of tree leaves from photographs taken in a natural environment is a di cult task where the quality of the seg- mentation is of primary importance. In this paper we present a system that combines a rst, unre ned segmentation step, with an estimation of descriptors depicting the general shape of a simple leaf. It is based on a light polygonal model, built to represent most of the leaf shapes, that will be deformed to t the leaf in the image. Avoiding some classic obstacles of active contour models, this approach gives promising results, even on complex natural photographs, and constitutes a solid basis for a leaf recognition process.
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Contributor : Guillaume Cerutti Connect in order to contact the contributor
Submitted on : Thursday, September 12, 2013 - 7:00:08 AM
Last modification on : Tuesday, June 1, 2021 - 2:08:07 PM
Long-term archiving on: : Thursday, March 30, 2017 - 2:47:26 PM


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  • HAL Id : hal-00622269, version 1


Guillaume Cerutti, Laure Tougne, Antoine Vacavant, Didier Coquin. A Parametric Active Polygon for Leaf Segmentation and Shape Estimation. 7th International Symposium on Visual Computing, Sep 2011, Las Vegas, United States. pp.202-213. ⟨hal-00622269⟩



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