Bolt looseness detection based on Canny edge detection algorithm

Author:

Song Daoyuan1,Xu Xinghua1,Cui Xiaopeng1,Ou Yangbin1,Chen Weiming2ORCID

Affiliation:

1. National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of Engineering 430033 Wuhan China

2. Faculty of Engineering China University of Geosciences 430074 Wuhan China

Abstract

SummaryAiming at current serious problems that the bolt looseness can cause heavy damages and the manual bolt looseness detection is ineffective, this study presents a bolt looseness detection method based on Canny edge detector. First, HSV (hue, saturation, value) color space is used to extract the area of mark bar. Then, after expanding, eroding and median filtering the image, Canny edge detector is used to segment the marker area to extract its edge. Last, the fitted slope of edge is used to judge whether the bolt is loose. The experimental results show that the proposed method has F1 score of 88.37%, contributing to the automated detection of bolt looseness.

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

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