Task-based Colormap Design Supporting Visual Comprehension in Process Tomography
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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Color coding is a fundamental technique for mapping data to visual representations, allowing people to carry out comprehension-based tasks. Process tomography is a rapidly developing non-invasive imaging technique used in various fields of science due to its effective flow monitoring and data acquisition [KLS*19]. To study how well colormaps can support visual comprehension of tomographic data, we conduct a feasibility evaluation of 11 widely-used color schemes. We employ the same segmentation tasks characterized by Microwave Tomography (MWT) on each individual chosen colormap, and then conduct a quantitative assessment of those schemes. Based on the insight gained, we conclude that autumn, viridis, and parula colormaps yield the best segmentation results. According to our findings, we propose a colormap design guideline for practitioners and researchers in the field of process tomography.
Description
@inproceedings{10.2312:evs.20201049,
booktitle = {EuroVis 2020 - Short Papers},
editor = {Kerren, Andreas and Garth, Christoph and Marai, G. Elisabeta},
title = {{Task-based Colormap Design Supporting Visual Comprehension in Process Tomography}},
author = {Zhang, Yuchong and Fjeld, Morten and Said, Alan and Fratarcangeli, Marco},
year = {2020},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-106-9},
DOI = {10.2312/evs.20201049}
}