Improved detection of woven fabric defect by optimized and adoptive cylindrical band-reject filtering-Reference-Cited by-同舟云学术

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Improved detection of woven fabric defect by optimized and adoptive cylindrical band-reject filtering

Published:2020-08-27 Issue:8 Volume:112 Page:1304-1315
ISSN:0040-5000
Container-title:The Journal of The Textile Institute
language:en
Short-container-title:The Journal of The Textile Institute

Author:

Tola Sourav¹,Chandra Jayanta K.¹,Sarkar Gautam²

Affiliation:

1. Department of Electrical Engineering, Ramkrishna Mahato Government Engineering College, Purulia, India

2. Department of Electrical Engineering, Jadavpur University, Kolkata, India

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Polymers and Plastics,General Agricultural and Biological Sciences,Materials Science (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/00405000.2020.1813409

Reference48 articles.

1. Textural fabric defect detection using statistical texture transformations and gradient search

2. Designing a defect classification system: A case study

3. Detection of Fabric Defects by Auto-Regressive Spectral Analysis and Support Vector Data Description

4. Fabric defect detection based on multiple fractal features and support vector data description

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. Sparse Auto-encoder Improvised Texture-Based Statistical Feature Estimation for the Detection of Defects in Woven Fabric;Lecture Notes in Electrical Engineering;2021

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