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Paper Abstract and Keywords
Presentation 2014-02-18 09:20
Crack Extraction from the Road Picture in Road Diagnostic Analysis
Kouki Konomi, Kousuke Matsusima, Masatoshi Terao, Syouzi Esaki (KNCT)
Abstract (in Japanese) (See Japanese page) 
(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) 
(in English) Road diagnostic analysis / Road picture / Crack / / / / /  
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Conference Information
Conference Date 2014-02-17 - 2014-02-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ITS Image Processing, etc. 
Paper Information
Registration To IEICE-ITS 
Conference Code 2014-02-ITS-IE-AIT-HI-ME 
Language Japanese 
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 Kurume National Calleage of Technology (KNCT)
2nd Author's Name Kousuke Matsusima  
2nd Author's Affiliation Kurume National Calleage of Technology (KNCT)
3rd Author's Name Masatoshi Terao  
3rd Author's Affiliation Kurume National Calleage of Technology (KNCT)
4th Author's Name Syouzi Esaki  
4th Author's Affiliation Kurume National Calleage of Technology (KNCT)
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Speaker Author-1 
Date Time 2014-02-18 09:20:00 
Presentation Time 15 minutes 
Registration for IEICE-ITS 
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Volume (vol) vol.38 
Number (no)  
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