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http://dx.doi.org/10.7735/ksmte.2017.26.2.251

Measurement of the Underpipe Diameter by using Computer Vision  

Kim, Gibom (Department of Mechanical System Design Engineering, Seoul National University of Science and Technology)
Cho, Sungman (DELI-I Co. Ltd.)
Joo, Wonjong (Department of Mechanical System Design Engineering, Seoul National University of Science and Technology)
Publication Information
Journal of the Korean Society of Manufacturing Technology Engineers / v.26, no.2, 2017 , pp. 251-256 More about this Journal
Abstract
This study developed an image processing system for detecting damages on underground spiral PVC pipes. The detection method is simple-identifying damaged areas by measuring circularity along the pipeline. This uses the assumption that damage parts will not make a circular shape. Conventional devices check the circular shape of the pipe along the pipeline by measuring the angles between 6 spring-connected legs on the device. The conventional device, however, requires the insertion of 3 different wires (electrical, communication, and camera lines) along with a guide wire for pulling the device. The developed system presented here has simplified this system, requiring only a camera line while maintaining reasonable accuracy in damage detection.
Keywords
Computer vision; Underground PVC spiral pipe; Diameter measurement; Image processing;
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