Feasibility Study of Automatic Learning Defect Segmentation System for Patterned Textiles

被引：0

作者：

Honda, Motoshi ^{[1
]}

Hirosawa, Satoru ^{[1
]}

Kitaguchi, Saori ^{[2
]}

Sato, Tetsuya ^{[2
]}

机构：

[1] Kyoto Municipal Institute of Industrial Technology and Culture, 91 Chudoji Awata-cho, Shimogyo-ku, Kyoto,600-8815, Japan

[2] Kyoto Institute of Technology, Matsugasaki, Sakyo-ku, Kyoto,606-8585, Japan

来源：

Journal of Textile Engineering | 2022年 / 68卷 / 05期

关键词：

Engineering Village;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Automatic-learning - Craft industry - Defect segmentation - Neural-networks - Patterned textile - Segmentation system - Traditional craft industry - Traditional crafts - Training time - Unsupervised machine learning

引用

页码：87 / 97

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