Journal article 119 views
Robust Surface Abnormality Detection for a Robotic Inspection System
IFAC-PapersOnLine, Volume: 49, Issue: 21, Pages: 301 - 308
Swansea University Author:
Sara Sharifzadeh
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DOI (Published version): 10.1016/j.ifacol.2016.10.572
Abstract
Robust Surface Abnormality Detection for a Robotic Inspection System
Published in: | IFAC-PapersOnLine |
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ISSN: | 2405-8963 |
Published: |
Elsevier BV
2016
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URI: | https://cronfa.swan.ac.uk/Record/cronfa65609 |
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v2 65609 2024-02-09 Robust Surface Abnormality Detection for a Robotic Inspection System a4e15f304398ecee3f28c7faec69c1b0 0000-0003-4621-2917 Sara Sharifzadeh Sara Sharifzadeh true false 2024-02-09 SCS Journal Article IFAC-PapersOnLine 49 21 301 308 Elsevier BV 2405-8963 Automatic abnormality detection; Point Cloud analysis; Feature extraction; Feature classification; Adaptive smoothing; surface inspection 10 11 2016 2016-11-10 10.1016/j.ifacol.2016.10.572 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2024-04-07T14:32:12.6671669 2024-02-09T01:17:08.6079216 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Sara Sharifzadeh 0000-0003-4621-2917 1 Istvan Biro 2 Niels Lohse 3 Peter Kinnell 4 |
title |
Robust Surface Abnormality Detection for a Robotic Inspection System |
spellingShingle |
Robust Surface Abnormality Detection for a Robotic Inspection System Sara Sharifzadeh |
title_short |
Robust Surface Abnormality Detection for a Robotic Inspection System |
title_full |
Robust Surface Abnormality Detection for a Robotic Inspection System |
title_fullStr |
Robust Surface Abnormality Detection for a Robotic Inspection System |
title_full_unstemmed |
Robust Surface Abnormality Detection for a Robotic Inspection System |
title_sort |
Robust Surface Abnormality Detection for a Robotic Inspection System |
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a4e15f304398ecee3f28c7faec69c1b0 |
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a4e15f304398ecee3f28c7faec69c1b0_***_Sara Sharifzadeh |
author |
Sara Sharifzadeh |
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Sara Sharifzadeh Istvan Biro Niels Lohse Peter Kinnell |
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2405-8963 |
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10.1016/j.ifacol.2016.10.572 |
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Elsevier BV |
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Faculty of Science and Engineering |
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School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science |
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published_date |
2016-11-10T14:32:09Z |
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