Automatic visual detection of lateral junctions in sewers

被引:4
作者
Taylor, N [1 ]
Pridmore, TP
Fu, S
机构
[1] Sheffield Hallam Univ, Sheffield S1 1WB, S Yorkshire, England
[2] Univ Nottingham, Dept Mfg Engn & Operat Management, Nottingham NG7 2RD, England
[3] Cranfield Univ, Sch Mech Engn, Cranfield MK43 0AL, Beds, England
来源
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MARITIME AND ENERGY | 1998年 / 130卷 / 02期
关键词
sewers & drains; health & safety; maintenance & inspection; information; technology; temporary works;
D O I
10.1680/iwtme.1998.30475
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Attention is focused on the automatic detection of lateral connections in closed-circuit television images obtained during the survey pass of an Insituform renovation process with regard to non-man-entry sewers. It is suggested that computer vision, in the form of edge detection and application-specific selection criteria, provides a practical and economically viable method of lateral detection. The illumination conditions under which these techniques are applied are, however, crucial; it is demonstrated that detection is greatly eased by the use of reflected, rather than direct illumination of the region under consideration. The incorporation of image enhancement prior to image analysis provides further system robustness. The proposed method has been implemented and shown to detect lateral junctions in images obtained both from laboratory and field environments.
引用
收藏
页码:56 / 69
页数:14
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