Study on Measurement Method of Surface Roughness of Concrete Canal by Three Dimensional Image Processing
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- OTAGAKI Koichiro
- The United Graduate School of Agricultural Science, Ehime University (Japan Water Agency)
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- HASEGAWA Yuki
- Graduate School, Kochi University
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- SUZUKI Tetsuya
- Faculty of Agriculture, Niigata University
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- MATSUMOTO Shinsuke
- Faculty of Agriculture, Kochi University
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- SATO Shushi
- Faculty of Agriculture, Kochi University
Bibliographic Information
- Other Title
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- 三次元画像解析によるコンクリート水路表面粗度の測定手法に関する研究
- サンジゲン ガゾウ カイセキ ニ ヨル コンクリート スイロ ヒョウメンソド ノ ソクテイ シュホウ ニ カンスル ケンキュウ
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Abstract
There is a possibility of influencing the roughness coefficient of abrasion concrete canal that is the index of the hydraulic performance. Therefore, it is necessary to figure out surface roughness of the canal to recognize the hydraulic performance. In this report, using the three dimensional image of canal surface by image analysis software, from the picture taken with the digital still camera, with the aim of figure out the surface roughness that obtained a simple, united value of concrete canal. From the image analysis result, the model version was able to reproduce the canal surface asperity excellently, compared with the actual value measured by the laser displacement sensor. The camera pixel affected to surface asperity reproducibility, however, the calculated roughness coefficient from three dimensional image was not affected by difference of camera pixel count. Moreover, from the result of the three dimensional image, taken a picture at real concrete canal, it is able to obtain asperity of concrete canal surface with good accuracy.
Journal
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- Transactions of The Japanese Society of Irrigation, Drainage and Rural Engineering
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Transactions of The Japanese Society of Irrigation, Drainage and Rural Engineering 80 (4), 311-317, 2012
The Japanese Society of Irrigation, Drainage and Rural Engineering
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Keywords
Details 詳細情報について
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- CRID
- 1390282680266070784
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- NII Article ID
- 10031171437
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- NII Book ID
- AA12240517
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- ISSN
- 18847242
- 18822789
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- NDL BIB ID
- 023958697
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed