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

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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https://hal.archives-ouvertes.fr/hal-01675655
Contributor : Sarah Bertrand <>
Submitted on : Thursday, January 4, 2018 - 4:51:25 PM
Last modification on : Friday, February 28, 2020 - 2:54:36 PM

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  • HAL Id : hal-01675655, version 1

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Sarah Bertrand, Guillaume Cerutti, Laure Tougne. Segmentation Algorithm on Smartphone Dual Camera: Application to Plant Organs in the Wild. 10th International Conference on Machine Vision, Nov 2017, Vienna, Austria. ⟨hal-01675655⟩

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