Textural Fabric Defect Detection using Adaptive Quantized Gray-level Co-occurrence Matrix and Support Vector Description Data-Reference-Cited by-同舟云学术

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Textural Fabric Defect Detection using Adaptive Quantized Gray-level Co-occurrence Matrix and Support Vector Description Data

Published:2012-05-15 Issue:6 Volume:11 Page:673-685
ISSN:1812-5638
Container-title:Information Technology Journal
language:
Short-container-title:Information Technology J.

Author:

Mingde Bi,Zhigang Sun,Yesong Li

Publisher

Science Alert

Subject

Computer Science (miscellaneous)

Link

https://www.scialert.net/fulltext/?doi=itj.2012.673.685&org=11

Cited by 16 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. Investments in digital technology advances in textiles;Industria Textila;2023-02-28

2. Data Augmentation Method For Fabric Defect Detection;2022 IEEE International Conference on Consumer Electronics - Taiwan;2022-07-06

3. Depth-wise Squeeze and Excitation Block-based Efficient-Unet model for surface defect detection;The Visual Computer;2022-03-30

4. Unsupervised textile defect detection using convolutional neural networks;Applied Soft Computing;2021-12

5. Surface Defect Detection Using Deep U-Net Network Architectures;2021 29th Signal Processing and Communications Applications Conference (SIU);2021-06-09

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