Automated interpretation of 3D laserscanned point clouds for plant organ segmentation

BMC Bioinformatics

Volumn 16, Issue 1, 2015, Pages

  Wahabzada, Mirwaes ^a   Paulus, Stefan ^a   Kersting, Kristian ^b   Mahlein, Anne Katrin ^a  

^a UNIVERSITY OF BONN   (Germany)

^b TU DORTMUND UNIVERSITY   (Germany)

Author keywords

3D laserscanning; Automatic segmentation; Clustering; High throughput; Plant phenotyping

Indexed keywords

AUTOMATION; CLUSTERING ALGORITHMS; GEOMETRY; PROGRAM PROCESSORS; THROUGHPUT;

AUTOMATIC SEGMENTATIONS; CLUSTERING; HIGH THROUGHPUT; LASER SCANNING; PLANT PHENOTYPING;

METADATA;

ALGORITHM; ANATOMY AND HISTOLOGY; CLASSIFICATION; CLUSTER ANALYSIS; GROWTH, DEVELOPMENT AND AGING; HORDEUM; LASER; PHENOTYPE; PLANT STRUCTURES; PROCEDURES; THREE DIMENSIONAL IMAGING; VITIS; WHEAT;

ALGORITHMS; CLUSTER ANALYSIS; HORDEUM; IMAGING, THREE-DIMENSIONAL; LASERS; PHENOTYPE; PLANT STRUCTURES; TRITICUM; VITIS;

EID: 84938581760     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-015-0665-2     Document Type: Article

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