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International Journal of Computer Integrated Manufacturing Volume 35, 2022 - Issue 12
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Research Article

An improved automatic defect identification system on natural leather via generative adversarial network

Y.S. Gana School of Architecture, Feng Chia University, Taichung, Taiwan R.O.CView further author information
,
Sze-Teng Liongb Department of Electronic Engineering, Feng Chia University, Taichung, Taiwan R.O.CCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-3867-1964View further author information
ORCID Icon,
Shih-Yuan Wangc Graduate Institute of Architecture, National Yang Ming Chiao Tung University, Hsinchu, Taiwan R.O.CView further author information
&
Chin Tiong Chengd Department of Real Estate, Tunku Abdul Rahman University College, Setapak, Kuala Lumpur, MalaysiaView further author information
Pages 1378-1394 | Received 07 Jul 2021, Accepted 16 Jan 2022, Published online: 15 Mar 2022

Citations (4)

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Read on this site (1)

Yiping Gao, Xinyu Li & Liang Gao. (2023) A Multi-level spatial feature fusion-based transformer for intelligent defect recognition with small samples toward smart manufacturing system. International Journal of Computer Integrated Manufacturing 0:0, pages 1-14.
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Articles from other publishers (3)

Zhiqiang Chen, Jiehang Deng, Qiuqin Zhu, Hailun Wang & Yi Chen. (2022) A Systematic Review of Machine-Vision-Based Leather Surface Defect Inspection. Electronics 11:15, pages 2383.
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Bo-Xiang Chen, Yi-Chung Chen, Chee-Hoe Loh, Ying-Chun Chou, Fu-Cheng Wang & Chwen-Tzeng Su. (2022) Application of Generative Adversarial Network and Diverse Feature Extraction Methods to Enhance Classification Accuracy of Tool-Wear Status. Electronics 11:15, pages 2364.
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Zhongliang Zhang, Yao Fu, Huiling Huang, Feng Rao & Jun Han. (2022) Lightweight network study of leather defect segmentation with Kronecker product multipath decoding. Mathematical Biosciences and Engineering 19:12, pages 13782-13798.
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