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Machine Vision System for Automatic Inspection of Bridges

Title
Machine Vision System for Automatic Inspection of Bridges
Author
문영식
Keywords
Machine Vision; Automatic Inspection; Crack Detection
Issue Date
2008-05
Publisher
IEEE
Citation
2008 Congress on Image and Signal Processing, Page. 363-366
Abstract
In the bridge inspection, the information of cracks is important to maintain a bridge. Therefore, automatic crack detection is highly desirable for efficiency and objectivity of crack assessment. However, in general, it is very difficult to detect cracks automatically from noisy concrete surfaces. In this paper, we propose a machine vision system for automatic inspection of bridges. The proposed machine vision system can detect cracks in real time, and it has some utility functions for supervised manipulation. The performance of the proposed system has been evaluated with 100 noisy images. In terms of accuracy in detecting cracks, experimental results show that the proposed method is superior to the conventional methods for detecting cracks.
URI
https://ieeexplore.ieee.org/document/4566507http://repository.hanyang.ac.kr/handle/20.500.11754/104514
ISBN
978-0-7695-3119-9
DOI
10.1109/CISP.2008.672
Appears in Collections:
COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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