Task-based Colormap Design Supporting Visual Comprehension in Process Tomography

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dc.contributor.authorZhang, Yuchongen_US
dc.contributor.authorFjeld, Mortenen_US
dc.contributor.authorSaid, Alanen_US
dc.contributor.authorFratarcangeli, Marcoen_US
dc.contributor.editorKerren, Andreas and Garth, Christoph and Marai, G. Elisabetaen_US
dc.date.accessioned2020-05-24T13:51:59Z
dc.date.available2020-05-24T13:51:59Z
dc.date.issued2020
dc.description.abstractColor 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.en_US
dc.description.sectionheadersMix: Color, Design, etc.
dc.description.seriesinformationEuroVis 2020 - Short Papers
dc.identifier.doi10.2312/evs.20201049
dc.identifier.isbn978-3-03868-106-9
dc.identifier.pages61-65
dc.identifier.urihttps://doi.org/10.2312/evs.20201049
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/evs20201049
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/]
dc.subjectHuman centered computing
dc.subjectVisualization design and evaluation methods
dc.titleTask-based Colormap Design Supporting Visual Comprehension in Process Tomographyen_US
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