Hauptseite > Publikationsdatenbank > Interactive 3D-Visualization of Root System Architecture with Immersive Topology Correction > print

001     892706
005     20230111074247.0
024 7 _ |a 2128/30555
|2 Handle
037 _ _ |a FZJ-2021-02279
041 _ _ |a English
100 1 _ |a Helmrich, Dirk
|0 P:(DE-Juel1)185995
|b 0
|e Corresponding author
245 _ _ |a Interactive 3D-Visualization of Root System Architecture with Immersive Topology Correction
|f 2020-10-01 - 2021-03-31
260 _ _ |a Jülich
|c 2021
300 _ _ |a 103
336 7 _ |a Output Types/Supervised Student Publication
|2 DataCite
336 7 _ |a Thesis
|0 2
|2 EndNote
336 7 _ |a MASTERSTHESIS
|2 BibTeX
336 7 _ |a masterThesis
|2 DRIVER
336 7 _ |a Master Thesis
|b master
|m master
|0 PUB:(DE-HGF)19
|s 1643120395_11645
|2 PUB:(DE-HGF)
336 7 _ |a SUPERVISED_STUDENT_PUBLICATION
|2 ORCID
502 _ _ |a Masterarbeit, Fachhochschule Aachen, 2021
|c Fachhochschule Aachen
|b Masterarbeit
|d 2021
|o 2021-04-14
520 _ _ |a The analysis of structural plant models at the Institute of Bio- and Geosciences 3 of the Jülich Research Center does not only incorporate plant development, plant health, and crop growth, but also simulations of water dynamics or enzymatic reactions at the root/soil interface.These simulations are calculated on plant models that describe the morphology of the root system.Through non-invasive scanning methods, volumes of root and soil are measured.The extraction of a root system from these scans can be done automatically or manually, or a combination of those two.For some volumentric scans, the signal-to-noise ratio is a particular challenge.To overcome that challenge, a neural network is used that combined components to segment as well as scale the data.A path-based tracing algorithm is used to extract a root skeleton from volume data.This algorithm, however, does not always produce good results.Even if small errors occur, the data sets should be checked and, if possible, parameter changes can be made.This thesis focuses on the implementation of an assisted root architecture editing tool that visualizes root topology and morphology and gives the user the ability to modify root traces.Furthermore, possibilities for redrawing of root systems are implemented and the data management integrates well into the analysis workflow.
536 _ _ |a 255 - Terrestrial Systems: From Observation to Prediction (POF3-255)
|0 G:(DE-HGF)POF3-255
|c POF3-255
|f POF III
|x 0
536 _ _ |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5112
|c POF4-511
|f POF IV
|x 1
856 4 _ |u https://juser.fz-juelich.de/record/892706/files/Master_Main.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:892706
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910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
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|6 P:(DE-Juel1)185995
913 0 _ |a DE-HGF
|b Erde und Umwelt
|l Terrestrische Umwelt
|1 G:(DE-HGF)POF3-250
|0 G:(DE-HGF)POF3-255
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-200
|4 G:(DE-HGF)POF
|v Terrestrial Systems: From Observation to Prediction
|x 0
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Enabling Computational- & Data-Intensive Science and Engineering
|9 G:(DE-HGF)POF4-5112
|x 0
914 1 _ |y 2021
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IBG-3-20101118
|k IBG-3
|l Agrosphäre
|x 0
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 1
980 1 _ |a FullTexts
980 _ _ |a master
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IBG-3-20101118
980 _ _ |a I:(DE-Juel1)JSC-20090406

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