DocumentCode
262170
Title
Topological Image Analysis and (Normalised) Representations for Plant Phenotyping
Author
Janusch, Ines ; Kropatsch, Walter G. ; Busch, Wolfgang
Author_Institution
Pattern Recognition & Image Process. Group, Vienna Univ. of Technol., Vienna, Austria
fYear
2014
fDate
22-25 Sept. 2014
Firstpage
579
Lastpage
586
Abstract
This paper discusses the use of topological image analysis to derive characteristics needed in plant phenotyping. Due to certain features of root systems (deformation over time, overlaps of branches in a 2D image of the root system) a topological analysis is needed to correctly derive these characteristics. The advantages of such a topological analysis are highlighted in this paper and root phenotyping is presented as a new application for computational topology. Characteristics used in plant phenotyping that can be derived from root images using methods of topological image analysis are further presented. A Reeb graph based representation of root images is shown as an example for such a topological analysis. Based on a graph representation a new, normalised representation of root images is introduced.
Keywords
botany; graph theory; image representation; 2D image; Reeb graph based representation; branch overlapping; computational topology; normalised representation; plant phenotyping; root images; root system features; topological image analysis; Image analysis; Image segmentation; Length measurement; Level measurement; Skeleton; Soil; Topology; Application for Computational Topology; Normalised Root Representation; Reeb Graphs; Root Phenotyping; Topological Image Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2014 16th International Symposium on
Conference_Location
Timisoara
Print_ISBN
978-1-4799-8447-3
Type
conf
DOI
10.1109/SYNASC.2014.83
Filename
7034733
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