2022
Bujack, Roxana; Bresciani, Etienne; Waters, Jiajia; Schroeder, Will
Topological Segmentation of 2D Vector Fields Journal Article
In: 2022, (LEVIA'22. Leipzig, 06.04.2022 - 07.04.2022).
Abstract | Links | BibTeX | Tags: segmentation, Topology, Vector field
@article{bujack2022topological,
title = {Topological Segmentation of 2D Vector Fields},
author = {Roxana Bujack and Etienne Bresciani and Jiajia Waters and Will Schroeder},
url = {http://www.informatik.uni-leipzig.de/~bujack/2022Levia.pdf},
doi = {https://doi.org/10.36730/2022.1.levia.5},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
abstract = {ector field topology has a long tradition as a visualization tool. The separatrices segment the domain visually into canonical regions in which all streamlines behave qualitatively the same. But application scientists often need more than just a nice image for their data analysis, and, to best of our knowledge, so far no workflow has been proposed to extract the critical points, the associated separatrices, and then provide the induced segmentation on the data level. We present a workflow that computes the segmentation of the domain of a 2D vector field based on its separatrices. We show how it can be used for the extraction of quantitative information about each segment in two applications: groundwater flow and heat exchange.},
note = {LEVIA'22. Leipzig, 06.04.2022 - 07.04.2022},
keywords = {segmentation, Topology, Vector field},
pubstate = {published},
tppubtype = {article}
}
ector field topology has a long tradition as a visualization tool. The separatrices segment the domain visually into canonical regions in which all streamlines behave qualitatively the same. But application scientists often need more than just a nice image for their data analysis, and, to best of our knowledge, so far no workflow has been proposed to extract the critical points, the associated separatrices, and then provide the induced segmentation on the data level. We present a workflow that computes the segmentation of the domain of a 2D vector field based on its separatrices. We show how it can be used for the extraction of quantitative information about each segment in two applications: groundwater flow and heat exchange.
: . .
1.
Bujack, Roxana; Bresciani, Etienne; Waters, Jiajia; Schroeder, Will
Topological Segmentation of 2D Vector Fields Journal Article
In: 2022, (LEVIA'22. Leipzig, 06.04.2022 - 07.04.2022).
@article{bujack2022topological,
title = {Topological Segmentation of 2D Vector Fields},
author = {Roxana Bujack and Etienne Bresciani and Jiajia Waters and Will Schroeder},
url = {http://www.informatik.uni-leipzig.de/~bujack/2022Levia.pdf},
doi = {https://doi.org/10.36730/2022.1.levia.5},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
abstract = {ector field topology has a long tradition as a visualization tool. The separatrices segment the domain visually into canonical regions in which all streamlines behave qualitatively the same. But application scientists often need more than just a nice image for their data analysis, and, to best of our knowledge, so far no workflow has been proposed to extract the critical points, the associated separatrices, and then provide the induced segmentation on the data level. We present a workflow that computes the segmentation of the domain of a 2D vector field based on its separatrices. We show how it can be used for the extraction of quantitative information about each segment in two applications: groundwater flow and heat exchange.},
note = {LEVIA'22. Leipzig, 06.04.2022 - 07.04.2022},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
ector field topology has a long tradition as a visualization tool. The separatrices segment the domain visually into canonical regions in which all streamlines behave qualitatively the same. But application scientists often need more than just a nice image for their data analysis, and, to best of our knowledge, so far no workflow has been proposed to extract the critical points, the associated separatrices, and then provide the induced segmentation on the data level. We present a workflow that computes the segmentation of the domain of a 2D vector field based on its separatrices. We show how it can be used for the extraction of quantitative information about each segment in two applications: groundwater flow and heat exchange.