Bolt looseness detection based on Canny edge detection algorithm

被引：7

作者：

Song, Daoyuan ^{[1
]}

Xu, Xinghua ^{[1
]}

Cui, Xiaopeng ^{[1
]}

Ou, Yangbin ^{[1
]}

Chen, Weiming ^{[2
]}

机构：

[1] Naval Univ Engn, Natl Key Lab Sci & Technol Vessel Integrated Power, Wuhan 430033, Peoples R China

[2] China Univ Geosci, Fac Engn, Wuhan 430074, Peoples R China

来源：

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE | 2023年 / 35卷 / 21期

关键词：

bolt looseness detection; Canny edge detector; computer vision; machine learning; HOUGH TRANSFORM;

D O I：

10.1002/cpe.7713

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Aiming 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.

引用

页数：10

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