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The Journal of The Textile Institute Volume 105, 2014 - Issue 2
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Articles

Yarn-dyed woven defect characterization and classification using combined features and support vector machine

Wenyu LiCollege of Textiles, Donghua University, Shanghai, China.
&
Longdi ChengCollege of Textiles, Donghua University, Shanghai, China.;Key Laboratory of Textile Science, Technology of Ministry of Education, Shanghai, China.Correspondence[email protected]
Pages 163-174 | Received 10 Mar 2013, Accepted 07 Aug 2013, Published online: 01 Oct 2013

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Jun Xiang, Jingan Wang, Ruru Pan & Weidong Gao. (2022) Decomposing intrinsic images from a single fabric image using an unsupervised method. The Journal of The Textile Institute 0:0, pages 1-10.
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Zhigang Xia, Mian Zhou, Hongshan Wang, Kezuo Wang & Youshun Wan. (2022) Evaluating the surface hairiness of woven fabric belts with a yarn hairiness tester. The Journal of The Textile Institute 113:1, pages 116-124.
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Articles from other publishers (12)

Zhiyu Zhou, Xingfan Yang, Jiangfei Ji, Yaming Wang & Zefei Zhu. (2022) Classifying fabric defects with evolving Inception v3 by improved L 2,1 -norm regularized extreme learning machine . Textile Research Journal 93:3-4, pages 936-956.
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Bingyu Lu, Meng Zhang & Biqing Huang. (2022) Deep Adversarial Data Augmentation for Fabric Defect Classification With Scarce Defect Data. IEEE Transactions on Instrumentation and Measurement 71, pages 1-13.
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Bing Wei, Lei GaoXue-song Tang & Kuangrong Hao. (2022) Multi-Class Object Learning with Application to Fabric Defects Detection. AATCC Journal of Research 8:1_suppl, pages 165-172.
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Jiachen Yang, Chenguang Wang, Bin Jiang, Houbing Song & Qinggang Meng. (2021) Visual Perception Enabled Industry Intelligence: State of the Art, Challenges and Prospects. IEEE Transactions on Industrial Informatics 17:3, pages 2204-2219.
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Yudi Zhao, Kuangrong Hao, Haibo He, Xuesong Tang & Bing Wei. (2020) A visual long-short-term memory based integrated CNN model for fabric defect image classification. Neurocomputing 380, pages 259-270.
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Bing Wei, Kuangrong Hao, Xue-song Tang & Yongsheng Ding. (2018) A new method using the convolutional neural network with compressive sensing for fabric defect classification based on small sample sizes. Textile Research Journal 89:17, pages 3539-3555.
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Li Liu, Jianhong Zhang, Xiaodong Fu, Lijun Liu & Qingsong Huang. (2018) Unsupervised segmentation and elm for fabric defect image classification. Multimedia Tools and Applications 78:9, pages 12421-12449.
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Mine Seçkin, Ahmet Çağdaş Seçkin & Aysun Coşkun. (2019) Production fault simulation and forecasting from time series data with machine learning in glove textile industry. Journal of Engineered Fibers and Fabrics 14, pages 155892501988346.
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Bing Wei, Kuangrong Hao, Xue-song Tang & Lihong Ren. 2019. Artificial Intelligence on Fashion and Textiles. Artificial Intelligence on Fashion and Textiles 45 51 .
Thomas Gries, Volker Lutz, Volker Niebel, Marco Saggiomo & Kristina Simonis. 2018. Automation in Garment Manufacturing. Automation in Garment Manufacturing 353 376 .
Pelin Yildirim, Derya Birant & Tuba Alpyildiz. (2018) Data mining and machine learning in textile industry. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8:1, pages e1228.
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Junfeng Jing, Amei Dong, Pengfei Li & Kaibing Zhang. (2017) Yarn-dyed fabric defect classification based on convolutional neural network. Optical Engineering 56:09, pages 1.
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