A graph-based approach for simultaneous semantic and instance segmentation of plant 3D point clouds

Author:

Mirande Katia,Godin Christophe,Tisserand Marie,Charlaix Julie,Besnard Fabrice,Hétroy-Wheeler Franck

Abstract

Accurate simultaneous semantic and instance segmentation of a plant 3D point cloud is critical for automatic plant phenotyping. Classically, each organ of the plant is detected based on the local geometry of the point cloud, but the consistency of the global structure of the plant is rarely assessed. We propose a two-level, graph-based approach for the automatic, fast and accurate segmentation of a plant into each of its organs with structural guarantees. We compute local geometric and spectral features on a neighbourhood graph of the points to distinguish between linear organs (main stem, branches, petioles) and two-dimensional ones (leaf blades) and even 3-dimensional ones (apices). Then a quotient graph connecting each detected macroscopic organ to its neighbors is used both to refine the labelling of the organs and to check the overall consistency of the segmentation. A refinement loop allows to correct segmentation defects. The method is assessed on both synthetic and real 3D point-cloud data sets of Chenopodium album (wild spinach) and Solanum lycopersicum (tomato plant).

Funder

Institut national de recherche en informatique et en automatique

Publisher

Frontiers Media SA

Subject

Plant Science

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Plant Organelle Segmentation using 3D Point Clouds and PointNet;2024 Systems and Information Engineering Design Symposium (SIEDS);2024-05-03

2. Unsupervised shape-aware SOM down-sampling for plant point clouds;ISPRS Journal of Photogrammetry and Remote Sensing;2024-05

3. Spatio-temporal registration of plants non-rigid 3-D structure;ISPRS Journal of Photogrammetry and Remote Sensing;2023-11

4. Using t-distributed stochastic neighbor embedding for visualization and segmentation of 3D point clouds of plants;Turkish Journal of Electrical Engineering and Computer Sciences;2023-09-29

5. Research on Morphological Indicator Extraction Method of Pinus massoniana Lamb. Based on 3D Reconstruction;Forests;2023-08-27

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