Bolt-loosening detection using vision technique based on a gray gradient enhancement method-Reference-Cited by-同舟云学术

Bolt-loosening detection using vision technique based on a gray gradient enhancement method

Published:2022-10-27 Issue:4 Volume:26 Page:668-678
ISSN:1369-4332
Container-title:Advances in Structural Engineering
language:en
Short-container-title:Advances in Structural Engineering

Author:

Luo Jun¹²,Zhao Jie³,Sun Yi¹²,Liu Xinpeng¹²,Yan Zhitao¹²

Affiliation:

1. School of Civil Engineering and Architecture, Chongqing University of Science & Technology, Chongqing, China

2. Chongqing Key Laboratory of Energy Engineering Mechanics & Disaster Prevention and Mitigation Chongqing, China

3. School of Civil Engineering, Chongqing University, Chongqing, China

Abstract

The bolt-loosening detection method using vision-based technique is summarized and a new gray gradient enhancement method is proposed to improve the stability of the nut edge detection and bolt-loosening detection. The Influence of the thresholds in Canny edge detector is studied and a new gray gradient enhancement method is proposed to enhance the gray gradient at the pixels on the outer boundary of the nut. Meanwhile, the suggestion on the high threshold value in Canny edge detector is given and can be used to reduce the subjectivity of parameter determination in Canny detector and the interference of uninterested edge lines. The proposed method is verified using a bolt connection in laboratory. The results show that the proposed method can effectively highlight the outer boundary of the nut and improve the stability of the nut edge detection and bolt-loosening detection.

Funder

The Natural Science Foundation of China

The Science and Technology Research Program of Chongqing Municipal Education Commission

The Research Foundation of Chongqing University of Science and Technology

The Foundation of Chongqing Science and Technology Commission

Publisher

SAGE Publications

Subject

Building and Construction,Civil and Structural Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1177/13694332221122950

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