Automatic detection of welding defects using texture features-Reference-Cited by-同舟云学术

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Automatic detection of welding defects using texture features

Published:2003-10-01 Issue:10 Volume:45 Page:676-681
ISSN:1354-2575
Container-title:Insight - Non-Destructive Testing and Condition Monitoring
language:en
Short-container-title:insight

Author:

Mery D¹,Berti M A¹

Affiliation:

1. Departamento de Ingeniería Informática, Universidad de Santiago de Chile, Av. Ecuador 3659, Santiago de Chile

Publisher

British Institute of Non-Destructive Testing (BINDT)

Subject

Materials Chemistry,Metals and Alloys,Mechanical Engineering,Mechanics of Materials

Cited by 71 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Method of interval fusion with preference aggregation in brightness thresholds selection for automatic weld surface defects recognition;Measurement;2024-08

2. You only train twice: A lighter and faster method for industrial weld defect detection based on dynamic kernel network;Measurement;2024-05

3. X-ray weld defect detection method based on dense connection and multi-scale pooling;Chinese Journal of Liquid Crystals and Displays;2024

4. Case Study of Image Feature Extraction using Conventional and Deep Learning Methods: Autoencoder and U-Net;2023 9th International Conference on Signal Processing and Communication (ICSC);2023-12-21

5. Advanced Faster-RCNN Model for Automated Recognition and Detection of Weld Defects on Limited X-Ray Image Dataset;Journal of Nondestructive Evaluation;2023-12-16

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