The University of Southampton
University of Southampton Institutional Repository

Effectively visualizing multi-valued flow data using color and texture

Effectively visualizing multi-valued flow data using color and texture
Effectively visualizing multi-valued flow data using color and texture
In this paper we offer several new insights and techniques for effectively using color and texture to simultaneously convey information about multiple 2D scalar and vector distributions, in a way that facilitates allowing each distribution to be understood both individually and in the context of one or more of the other distributions. Specifically, we introduce the concepts of: color weaving for simultaneously representing information about multiple co-located color encoded distributions; and texture stitching for achieving more spatially accurate multi-frequency line integral convolution representations of combined scalar and vector distributions. The target application for our research is the definition, detection and visualization of regions of interest in a turbulent boundary layer flow at moderate Reynolds number. In this work, we examine and analyze streamwise-spanwise planes of three-component velocity vectors with the goal of identifying and characterizing spatially organized packets of hairpin vortices.
0-7803-8120-3
115-121
IEEE
Urness, T.
8a6f014c-d77d-4e59-b90c-e466ea532f37
Interrante, V.
756273b5-f359-4ab3-b45e-26501c10b81f
Marusic, I.
59f585da-d4ab-4dbf-8a74-421f5fb90e6a
Longmire, E.
8d7e4d43-1fa0-4d9a-9678-4401a067ce64
Ganapathisubramani, B.
5e69099f-2f39-4fdd-8a85-3ac906827052
Turk, G.
van Wijk, J.J.
Moorhead, R.
Urness, T.
8a6f014c-d77d-4e59-b90c-e466ea532f37
Interrante, V.
756273b5-f359-4ab3-b45e-26501c10b81f
Marusic, I.
59f585da-d4ab-4dbf-8a74-421f5fb90e6a
Longmire, E.
8d7e4d43-1fa0-4d9a-9678-4401a067ce64
Ganapathisubramani, B.
5e69099f-2f39-4fdd-8a85-3ac906827052
Turk, G.
van Wijk, J.J.
Moorhead, R.

Urness, T., Interrante, V., Marusic, I., Longmire, E. and Ganapathisubramani, B. (2003) Effectively visualizing multi-valued flow data using color and texture. Turk, G., van Wijk, J.J. and Moorhead, R. (eds.) In Visualization, 2003: Proceedings of the Seventh International Conference on Information Visualization. IEEE. pp. 115-121 . (doi:10.1109/VISUAL.2003.1250362).

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper we offer several new insights and techniques for effectively using color and texture to simultaneously convey information about multiple 2D scalar and vector distributions, in a way that facilitates allowing each distribution to be understood both individually and in the context of one or more of the other distributions. Specifically, we introduce the concepts of: color weaving for simultaneously representing information about multiple co-located color encoded distributions; and texture stitching for achieving more spatially accurate multi-frequency line integral convolution representations of combined scalar and vector distributions. The target application for our research is the definition, detection and visualization of regions of interest in a turbulent boundary layer flow at moderate Reynolds number. In this work, we examine and analyze streamwise-spanwise planes of three-component velocity vectors with the goal of identifying and characterizing spatially organized packets of hairpin vortices.

Full text not available from this repository.

More information

Published date: 2003
Organisations: Aeronautics, Astronautics & Comp. Eng, Aerodynamics & Flight Mechanics Group, Faculty of Engineering and the Environment

Identifiers

Local EPrints ID: 355034
URI: https://eprints.soton.ac.uk/id/eprint/355034
ISBN: 0-7803-8120-3
PURE UUID: 84ded6ca-e657-4701-bdbc-8ffed92dc45c
ORCID for B. Ganapathisubramani: ORCID iD orcid.org/0000-0001-9817-0486

Catalogue record

Date deposited: 19 Nov 2013 14:57
Last modified: 06 Jun 2018 12:33

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×