Steel Surface Defect Detection Using Texture Segmentation Based on Multifractal Dimension-Reference-Cited by-同舟云学术

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Steel Surface Defect Detection Using Texture Segmentation Based on Multifractal Dimension

Published:2009-03 Issue: Volume: Page:
ISSN:
Container-title:2009 International Conference on Digital Image Processing
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Author:

Yazdchi Mohammadreza,Yazdi Mehran,Mahyari Arash Golibagh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5190501/5190502/05190595.pdf?arnumber=5190595

Cited by 46 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. Global attention module and cascade fusion network for steel surface defect detection;Pattern Recognition;2025-02

2. Enhanced Scratch Detection for Textured Materials Based on Optimized Photometric Stereo Vision and Fast Fourier Transform–Gabor Filtering;Applied Sciences;2024-09-03

3. A Survey of Vision-Based Methods for Surface Defects’ Detection and Classification in Steel Products;Informatics;2024-04-23

4. Steel Defect Detection Using a ResNet-Inspired Model and Fourier Transforms;2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2024-01-11

5. Visual analytics and intelligent reasoning for smart manufacturing defect detection and judgement: A meta-learning approach with knowledge graph embedding case-based reasoning;Journal of Industrial Information Integration;2024-01

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