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

被引:1
作者
Bertrand, Sarah [1 ]
Cerutti, Guillaume [2 ,3 ]
Tougne, Laure [1 ]
机构
[1] Univ Lyon, Lyon 2, F-69676 Lyon, France
[2] ENS Lyon, Lab Reprod & Dev Plantes, Lyon, France
[3] INRIA, INRA, INRIA Project Team Virtual Plants, Montpellier, France
来源
TENTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2017) | 2018年 / 10696卷
关键词
segmentation; dissimilarity map; optical flow map; multilayer perceptron; smartphone; dual camera; LEAVES;
D O I
10.1117/12.2314731
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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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页数:8
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