AI-Driven Background Segmentation for High-Throughput 3D Plant Scans

AI-Driven Background Segmentation for High-Throughput 3D Plant Scans

Accurate background segmentation in 3D plant phenotyping is crucial for reliable trait assessment but remains challenging. Current methods are either excessively complex, developed for a different domain, or lead to data loss (coordinate-based). This paper addresses these issues by introducing an AI...

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Bibliographic Details
Main Authors: Serkan Kartal, Jan Masner, Jana Kholova, Alexander Galba, Tharanya Murugesan, Rekha Baddam, Vojtech Mikes, Eva Kanska
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Background segmentation
3D imaging
point cloud processing
multi-layer perceptron
machine learning
plant phenotyping
Online Access:https://ieeexplore.ieee.org/document/11105418/
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https://ieeexplore.ieee.org/document/11105418/

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