컴퓨터비전을 이용한 지중관로의 직경 측정

다국어 초록 (Multilingual 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.

참고문헌 (Reference)

1 Trucco, E., "Introductory Techniques for 3-D Computer Vision" Pearson 1998

2 Gonzalez, R. C., "Digital Image Processing" Prentice Hall 2009

3 Takatsu, T., "Development of a Measuring System for the Underground Pipelines" 767-775, 1992

4 Kim, D., "Development of Digital Pipeline Investigation System for Measuring Quality of Communication Underground Pipes" 229-237, 2005

5 Sun, T, "Detail-preserving Median based Filters in Image Processing" Elsevier 1994

6 Akinlar, C., "A Real-time Circle Detector with a False Detection Control" Elsevier 2013