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Proceedings Paper

Segmentation algorithm on smartphone dual camera: application to plant organs in the wild
Author(s): Sarah Bertrand; Guillaume Cerutti; Laure Tougne
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Paper 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.

Paper Details

Date Published: 13 April 2018
PDF: 8 pages
Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 106960T (13 April 2018); doi: 10.1117/12.2314731
Show Author Affiliations
Sarah Bertrand, Univ. Lyon (France)
Guillaume Cerutti, Lab. de Reproduction et Developpment des Plantes, ENS-Lyon (France)
INRIA, CIRAD (France)
Laure Tougne, Univ. Lyon (France)


Published in SPIE Proceedings Vol. 10696:
Tenth International Conference on Machine Vision (ICMV 2017)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev; Jianhong Zhou, Editor(s)

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