Fabric defect detection algorithm based on MFS and SVM-Reference-Cited by-同舟云学术

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Fabric defect detection algorithm based on MFS and SVM

Published:2018-10-29 Issue: Volume: Page:
ISSN:
Container-title:2018 International Conference on Image and Video Processing, and Artificial Intelligence
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Author:

Zhao Cuifang,Chen Yu,Ma Jiacheng

Publisher

SPIE

Reference12 articles.

1. FDAS: A Knowledge-based Framework for Analysis of Defects in Woven Textile Structures

2. Computer-Vision-Based Fabric Defect Detection: A Survey

3. High performance computing algorithms for textile quality control

4. A computer vision approach for textile quality control[J];Anagnostopoulos;Computer Animation & Virtual Worlds,2010

5. Fabric defect detection by Fourier analysis

Cited by 4 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. Fabric defect classification using prototypical network of few-shot learning algorithm;Computers in Industry;2022-06

2. Few-Shot Steel Surface Defect Detection;IEEE Transactions on Instrumentation and Measurement;2021

3. Detection of Fiber Defects Using Keypoints and Deep Learning;International Journal of Pattern Recognition and Artificial Intelligence;2020-12-05

4. Fabric defect detection under complex illumination based on an improved recurrent attention model;The Journal of The Textile Institute;2020-09-26

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