Presentation | 2014-02-18 Crack Extraction from the Road Picture in Road Diagnostic Analysis Kouki KONOMI, Kousuke MATSUSHIMA, Masatoshi TERAO, Syouji ESAKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Crack detection is particularly important for safety and cost-effective maintenance of road structures. However there are many difficulties in image-based crack detection for various reasons. In this paper, we propose the novel hybrid method using the homogeneous and percolation model. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Road diagnostic analysis / Road picture / Crack |
Paper # | ITS2013-50,IE2013-115 |
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Committee | IE |
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Conference Date | 2014/2/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Image Engineering (IE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Crack Extraction from the Road Picture in Road Diagnostic Analysis |
Sub Title (in English) | |
Keyword(1) | Road diagnostic analysis |
Keyword(2) | Road picture |
Keyword(3) | Crack |
1st Author's Name | Kouki KONOMI |
1st Author's Affiliation | Advanced Engineering School ,Mechanical and Electrical Systems Engineering Advanced Course, Advanced Engineering School , Kurume National College of Technology() |
2nd Author's Name | Kousuke MATSUSHIMA |
2nd Author's Affiliation | Department of Control and Information System Engineering, Kurume National College of Technology |
3rd Author's Name | Masatoshi TERAO |
3rd Author's Affiliation | Department of Control and Information System Engineering, Kurume National College of Technology |
4th Author's Name | Syouji ESAKI |
4th Author's Affiliation | Department of Control and Information System Engineering, Kurume National College of Technology |
Date | 2014-02-18 |
Paper # | ITS2013-50,IE2013-115 |
Volume (vol) | vol.113 |
Number (no) | 434 |
Page | pp.pp.- |
#Pages | 6 |
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