A novel background subtraction technique based on grayscale morphology for weld defect detection-Reference-Cited by-同舟云学术

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A novel background subtraction technique based on grayscale morphology for weld defect detection

Published:2016-04-08 Issue: Volume: Page:
ISSN:0277-786X
Container-title:SPIE Proceedings
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Author:

Aminzadeh Masoumeh,Kurfess Thomas

Publisher

SPIE

Reference13 articles.

1. Automatic detection of welding defects using texture features

2. Multiclass defect detection and classification in weld radiographic images using geometric and texture features

3. Carrasco, M. A. and Mery, D. 'Segmentation of welding defects using a robust algorithm,' Materials Evaluation, vol. 62, pp. 1142–1147.

4. Statistical Tools for Weld Defect Evaluation in Radiographic Testing,;Nacereddine,2006

5. AUTOMATED DEFECT CLASSIFICATION USING AN ARTIFICIAL NEURAL NETWORK

Cited by 1 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. A propelled multiple fusion Deep Belief Network for weld defects detection;2021 2nd International Conference on Control, Robotics and Intelligent System;2021-08-20

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