Neural-Fuzzy Classification for Fabric Defects

Author:

Huang Chang-Chiun1,Chen I-Chun1

Affiliation:

1. Department of Textile Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, Republic of China

Abstract

Image classification by a neural-fuzzy system is presented for normal fabrics and eight kinds of fabric defects. This system combines the fuzzification technique with fuzzy logic and a back-propagation learning algorithm with neural networks. Four input features—the ratio of projection lengths in the horizontal and vertical directions, the gray-level mean and standard deviation of the image, and the large number emphasis (LNE) based on the neighboring gray level dependence matrix for the defect area—are selected and their usefulness is justified. The neural network is also implemented and compared with the neural-fuzzy system. The results demonstrate that the neural-fuzzy system is superior to the neural network in classification ability.

Publisher

SAGE Publications

Subject

Polymers and Plastics,Chemical Engineering (miscellaneous)

Cited by 33 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. The effects of fusion-based feature extraction for fabric defect classification;Textile Research Journal;2023-08-08

2. Determination of various fabric defects using different machine learning techniques;The Journal of The Textile Institute;2023-05-02

3. Advanced Technology in Apparel Manufacturing;Advanced Technology in Textiles;2023

4. A Suggestion System According to Fabric Control Time;GAZI UNIVERSITY JOURNAL OF SCIENCE;2022-01-02

5. Online defect prognostic model for textile manufacturing;Resources, Conservation and Recycling;2020-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3