Comparative analysis on seed point placement and magnitude-based visual enhancement for streamlines generation
This paper presents an improved seed point placement to locate initial seed points based on magnitude value. The vector field is separated in to grid to ensure the uniformity in generating streamlines and broader streamlines coverage, thus reducing poor visualisation information especially near to v...
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2019
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my.utm.872762020-11-30T09:01:04Z http://eprints.utm.my/id/eprint/87276/ Comparative analysis on seed point placement and magnitude-based visual enhancement for streamlines generation Yusoff, Yusman Azimi Mohamed, Farhan Sunar, Mohd. Shahrizal Selamat, Ali Jaafar, Nor Azrini QA75 Electronic computers. Computer science This paper presents an improved seed point placement to locate initial seed points based on magnitude value. The vector field is separated in to grid to ensure the uniformity in generating streamlines and broader streamlines coverage, thus reducing poor visualisation information especially near to visualisation boundary. An evaluation using mean square error is conducted to evaluate the improvement in term of streamlines placement uniformity. Result shows that proposed method able to come out with lower mean square error value compared to evenly-spaced in across different separation distance, resulting better streamlines control to produce uniform visualisation result. Finally, the proposed method can be improved in many aspects to come out with a better visualisation result in two and possibly three dimension flow visualisation. Inderscience Enterprises 2019 Article PeerReviewed Yusoff, Yusman Azimi and Mohamed, Farhan and Sunar, Mohd. Shahrizal and Selamat, Ali and Jaafar, Nor Azrini (2019) Comparative analysis on seed point placement and magnitude-based visual enhancement for streamlines generation. International Journal of Digital Enterprise Technology, 1 (4). pp. 338-404. ISSN 1756-2562 https://dx.doi.org/10.1504/IJDET.2019.103362 DOI:10.1504/IJDET.2019.103362 |
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QA75 Electronic computers. Computer science Yusoff, Yusman Azimi Mohamed, Farhan Sunar, Mohd. Shahrizal Selamat, Ali Jaafar, Nor Azrini Comparative analysis on seed point placement and magnitude-based visual enhancement for streamlines generation |
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This paper presents an improved seed point placement to locate initial seed points based on magnitude value. The vector field is separated in to grid to ensure the uniformity in generating streamlines and broader streamlines coverage, thus reducing poor visualisation information especially near to visualisation boundary. An evaluation using mean square error is conducted to evaluate the improvement in term of streamlines placement uniformity. Result shows that proposed method able to come out with lower mean square error value compared to evenly-spaced in across different separation distance, resulting better streamlines control to produce uniform visualisation result. Finally, the proposed method can be improved in many aspects to come out with a better visualisation result in two and possibly three dimension flow visualisation. |
format |
Article |
author |
Yusoff, Yusman Azimi Mohamed, Farhan Sunar, Mohd. Shahrizal Selamat, Ali Jaafar, Nor Azrini |
author_facet |
Yusoff, Yusman Azimi Mohamed, Farhan Sunar, Mohd. Shahrizal Selamat, Ali Jaafar, Nor Azrini |
author_sort |
Yusoff, Yusman Azimi |
title |
Comparative analysis on seed point placement and magnitude-based visual enhancement for streamlines generation |
title_short |
Comparative analysis on seed point placement and magnitude-based visual enhancement for streamlines generation |
title_full |
Comparative analysis on seed point placement and magnitude-based visual enhancement for streamlines generation |
title_fullStr |
Comparative analysis on seed point placement and magnitude-based visual enhancement for streamlines generation |
title_full_unstemmed |
Comparative analysis on seed point placement and magnitude-based visual enhancement for streamlines generation |
title_sort |
comparative analysis on seed point placement and magnitude-based visual enhancement for streamlines generation |
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Inderscience Enterprises |
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2019 |
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http://eprints.utm.my/id/eprint/87276/ https://dx.doi.org/10.1504/IJDET.2019.103362 |
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