Segmentation algorithm on smartphone dual camera: application to plant organs in the wild

13 April 2018 Segmentation algorithm on smartphone dual camera: application to plant organs in the wild

Sarah Bertrand, Guillaume Cerutti, Laure Tougne

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Proceedings Volume 10696, Tenth International Conference on Machine Vision (ICMV 2017); 106960T (2018) https://doi.org/10.1117/12.2314731
Event: Tenth International Conference on Machine Vision, 2017, Vienna, Austria

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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Sarah Bertrand, Guillaume Cerutti, and Laure Tougne "Segmentation algorithm on smartphone dual camera: application to plant organs in the wild", Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 106960T (13 April 2018); https://doi.org/10.1117/12.2314731

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