A Visual Inspection and Classification Method for Camshaft Surface Defects Based on Defect Similarity Measurement-Reference-Cited by-同舟云学术

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A Visual Inspection and Classification Method for Camshaft Surface Defects Based on Defect Similarity Measurement

Published:2024 Issue: Volume:12 Page:74633-74648
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Cao Jinsong¹,Wu Hanyang¹^ORCID,Wang Weiyong²,Qasim Tehreem³,Wang Dongyun¹^ORCID

Affiliation:

1. Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology and Equipment of Zhejiang Province, College of Engineering, Zhejiang Normal University, Jinhua, China

2. Zhejiang Jinfei Machinery Company Ltd., Zhejiang, China

3. Department of Robotics and Artificial Intelligence, Islamabad, Pakistan

Funder

Key Research and Development Program of Zhejiang Province

Key Research and Development Program of Jinhua

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10510305.pdf?arnumber=10510305

Reference53 articles.

1. Defocused calibration for large field-of-view binocular cameras

2. A flexible calibration method based on small planar target for defocused cameras

3. Deep face recognition for dim images

4. Underwater target detection based on Faster R-CNN and adversarial occlusion network

5. Morphological Detection and Extraction of Rail Surface Defects

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