Smart image processing for steel bridge corrosion inspection
160 p.
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2011
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sg-ntu-dr.10356-467352023-03-03T19:24:06Z Smart image processing for steel bridge corrosion inspection Yang, Ya-ching Chen Po-Han School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering::Geotechnical 160 p. Image recognition has been widely utilized in scientific research and prevalently adopted in industries. Application in infrastructure condition assessment includes defect recognition on steel bridge painting and underground sewer systems. Nevertheless, there is still no robust method to overcome the non-uniform illumination problem. The non-uniform illumination problem is arisen from the shades, shadows, and the highlights on a rust image. Although, K-Means, which is a kind of clustering methods according to the differences of each pixel, is recognized as one of the best rust defect recognition methods, it cannot recognize the non-uniform illuminated images and the mild rust color well. Also, there is lack of an automated color image recognition system in this field. The purpose of this research is to attempt to resolve the problems of non-uniform illumination and mild rust color as well as to automate the recognition system. MASTER OF ENGINEERING (CEE) 2011-12-23T07:25:41Z 2011-12-23T07:25:41Z 2010 2010 Thesis Yang, Y.-C. (2010). Smart image processing for steel bridge corrosion inspection. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/46735 10.32657/10356/46735 Nanyang Technological University application/pdf |
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Asia |
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Singapore Singapore |
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DRNTU::Engineering::Civil engineering::Geotechnical |
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DRNTU::Engineering::Civil engineering::Geotechnical Yang, Ya-ching Smart image processing for steel bridge corrosion inspection |
| description |
160 p. |
| author2 |
Chen Po-Han |
| author_facet |
Chen Po-Han Yang, Ya-ching |
| format |
Theses and Dissertations |
| author |
Yang, Ya-ching |
| author_sort |
Yang, Ya-ching |
| title |
Smart image processing for steel bridge corrosion inspection |
| title_short |
Smart image processing for steel bridge corrosion inspection |
| title_full |
Smart image processing for steel bridge corrosion inspection |
| title_fullStr |
Smart image processing for steel bridge corrosion inspection |
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Smart image processing for steel bridge corrosion inspection |
| title_sort |
smart image processing for steel bridge corrosion inspection |
| publishDate |
2011 |
| url |
https://hdl.handle.net/10356/46735 |
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1759856032233816064 |