Nondestructive Testing of Bridge Stay Cable Surface Defects Based on Computer Vision-Reference-Cited by-同舟云学术

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Nondestructive Testing of Bridge Stay Cable Surface Defects Based on Computer Vision

Published:2023 Issue:1 Volume:75 Page:2209-2226
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Xu Fengyu,Kalantari Masoud,Li Bangjian,Wang Xingsong

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Link

https://www.techscience.com/cmc/v75n1/51417/pdf

Reference30 articles.

1. A real-time visual inspection system for discrete surface defects of rail heads;Li;IEEE Transactions on Instrumentation and Measurement,2012

2. A hybrid data-driven method for wire rope surface defect detection;Zhou;IEEE Sensors Journal,2020

3. Surface damage detection for steel wire ropes using deep learning and computer vision techniques;Huang;Measurement,2020

4. Vision-based surface defect inspection for thick steel plates;Yun;Optical Engineering,2017

5. Visual inspection of the aircraft surface using a teleoperated reconfigurable climbing robot and enhanced deep learning technique;Ramalingam;International Journal of Aerospace Engineering,2019

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1. The application of machine learning and artificial intelligence technology in the production quality management of traditional Chinese medicine decoction pieces;International Journal on Interactive Design and Manufacturing (IJIDeM);2023-08-03

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