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Segmentation Algorithm on Smartphone Dual Camera: Application to Plant Organs in the Wild

Sarah Bertrand 1 Guillaume Cerutti 2, 3 Laure Tougne 1
1 imagine - Extraction de Caractéristiques et Identification
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
3 VIRTUAL PLANTS - Modeling plant morphogenesis at different scales, from genes to phenotype
CRISAM - Inria Sophia Antipolis - Méditerranée , INRA - Institut National de la Recherche Agronomique, UMR AGAP - Amélioration génétique et adaptation des plantes méditerranéennes et tropicales
Abstract : In order to identify the species of a tree, the different organs that are the leaves, the bark, the flowers and the fruits, are inspected by botanists. So as to develop an algorithm that identifies automatically the species, we need to extract these objects of interest from their complex natural environment. In this article, we focus on the segmentation of flowers and fruits and we present a new method of segmentation based on an active contour algorithm using two probability maps. The first map is constructed via the dual camera that we can find on the back of the latest smartphones. The second map is made with the help of a multilayer perceptron (MLP). The combination of these two maps to drive the evolution of the object contour allows an efficient segmentation of the organ from a natural background.
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Submitted on : Tuesday, June 2, 2020 - 8:24:20 PM
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Sarah Bertrand, Guillaume Cerutti, Laure Tougne. Segmentation Algorithm on Smartphone Dual Camera: Application to Plant Organs in the Wild. 10. International Conference on Machine Vision (ICMV), Nov 2017, Vienna, Australia. ⟨10.1117/12.2314731⟩. ⟨hal-02738112⟩



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