Surface feature based classification of plant organs from 3D laserscanned point clouds for plant phenotyping.

ABSTRACT:

Background

Laserscanning recently has become a powerful and common method for plant parameterization and plant growth observation on nearly every scale range. However, 3D measurements with high accuracy, spatial resolution and speed result in a multitude of points that require processing and analysis. The primary objective of this research has been to establish a reliable and fast technique for high throughput phenotyping using differentiation, segmentation and classification of single plants by a fully automated system. In this report, we introduce a technique for automated classification of point clouds of plants and present the applicability for plant parameterization.

Results

A surface feature histogram based approach from the field of robotics was adapted to close-up la

SUBMITTER: Paulus S 

PROVIDER: S-EPMC3750309 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature