Title
A framework for the extraction of quantitative traits from 2D images of mature Arabidopsis thaliana
Abstract
In this work, we propose an image-based phenotyping framework for the determination of quantitative traits from mature Arabidopsis thaliana plants. Two-dimensional (2D) images taken from the dried and flattened plants are analyzed regarding their geometry as well as their branching topology. The realistic branching architecture is hereby reconstructed from a single 2D image using a tracing approach with a semi-circular search window. The centerline segments of the tracing procedure are subsequently merged and labeled based on a hierarchical approach combining continuity properties with geometrical and topological information determined during tracing. This paper covers a detailed description of the proposed plant phenotyping pipeline from the image acquisition process until the extraction of the quantitative traits. The framework is evaluated using a set of 106 images and compared to a manual phenotyping approach as well as a semi-automatic image-based approach. The most relevant results of this evaluation are presented.
Year
DOI
Venue
2016
10.1007/s00138-015-0720-z
Mach. Vis. Appl.
Keywords
Field
DocType
Image-based phenotyping,Geometrical traits,Topological traits,Tracing,Hierarchical reconstruction,Network of curvilinear structures
Plant phenotyping,Computer vision,Quantitative trait locus,Pattern recognition,Topological information,Computer science,Arabidopsis thaliana,Artificial intelligence,Tracing,Branching (version control)
Journal
Volume
Issue
ISSN
27
5
0932-8092
Citations 
PageRank 
References 
2
0.37
21
Authors
4
Name
Order
Citations
PageRank
Marco Augustin160.79
Yll Haxhimusa223320.26
Wolfgang Busch3153.07
Walter G. Kropatsch4896152.91