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International Journal of Computer Integrated Manufacturing Volume 33, 2020 - Issue 10-11: Application of Artificial Intelligence in Advanced Manufacturing
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Leather defect classification and segmentation using deep learning architecture

Sze-Teng Lionga Department of Electronic Engineering, Feng Chia University, Taichung, Taiwan R.O.CORCID Iconhttps://orcid.org/0000-0002-3867-1964View further author information
ORCID Icon,
Danna Zhengb School of Electrical and Computing Engineering, Xiamen University Malaysia, Sepang, MalaysiaView further author information
,
Yen-Chang Huangc Department of Applied Mathematics, National University of Tainan, Taiwan R.O.CView further author information
&
Y. S. Gand School of Architecture, Feng Chia University, Taichung, Taiwan, R.O.CCorrespondence[email protected]
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Pages 1105-1117 | Received 15 Dec 2019, Accepted 03 Jul 2020, Published online: 30 Jul 2020

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Elisa Verna, Gianfranco Genta, Maurizio Galetto & Fiorenzo Franceschini. (2023) Zero defect manufacturing: a self-adaptive defect prediction model based on assembly complexity. International Journal of Computer Integrated Manufacturing 36:1, pages 155-168.
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Y.S. Gan, Sze-Teng Liong, Shih-Yuan Wang & Chin Tiong Cheng. (2022) An improved automatic defect identification system on natural leather via generative adversarial network. International Journal of Computer Integrated Manufacturing 35:12, pages 1378-1394.
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A. Papavasileiou, P. Aivaliotis, S. Aivaliotis & S. Makris. (2022) An optical system for identifying and classifying defects of metal parts. International Journal of Computer Integrated Manufacturing 35:3, pages 326-340.
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Articles from other publishers (22)

M Ugur Gudelek, Gokberk Serin, Ahmet Murat Ozbayoglu & Hakki Ozgur Unver. (2022) An industrially viable wavelet long-short term memory-deep multilayer perceptron-based approach to tool condition monitoring considering operational variability. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 237:6, pages 2532-2546.
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Shahzaib Iqbal, Tariq M. Khan, Syed S. Naqvi & Geoff Holmes. (2023) MLR-Net: A multi-layer residual convolutional neural network for leather defect segmentation. Engineering Applications of Artificial Intelligence 126, pages 107007.
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Masood Aslam, Syed Saud Naqvi, Tariq Mahmood Khan, Geoff Holmes & Rafea Naffa. (2023) Trainable guided attention based robust leather defect detection. Engineering Applications of Artificial Intelligence 124, pages 106438.
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Atah Nuh Mih, Hung Cao, Joshua PickardMonica Wachowicz & Rickey Dubay. (2023) TransferD2: Automated Defect Detection Approach in Smart Manufacturing using Transfer Learning Techniques. TransferD2: Automated Defect Detection Approach in Smart Manufacturing using Transfer Learning Techniques.
Feifei Kong, Delong Zhao & Fuzhou Du. (2023) A doubt–confirmation-based visual detection method for foreign object debris aided by assembly models. Transactions of the Canadian Society for Mechanical Engineering.
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Vítor Silva, Rafaela de Pinho, Mehrab K. Allahdad, Jorge Silva, Manuel J. Ferreira & Luís Magalhães. (2023) A Robust Real-time Leather Defect Segmentation Using YOLO. A Robust Real-time Leather Defect Segmentation Using YOLO.
Meng Chen, Jun Gao, Wuxin Yu & Hujian Peng. (2023) LD2-YOLO: A Defect Detection Method for Automotive Composite Leather. LD2-YOLO: A Defect Detection Method for Automotive Composite Leather.
Erkan Tur. (2023) Applying Deep Learning for Automated Quality Control and Defect Detection in Multi-stage Plastic Extrusion Process. Applying Deep Learning for Automated Quality Control and Defect Detection in Multi-stage Plastic Extrusion Process.
Malathy Jawahar, L. Jani Anbarasi & S. Geetha. (2022) Vision based leather defect detection: a survey. Multimedia Tools and Applications 82:1, pages 989-1015.
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Huseyin Coskun, Tuncay Yi̇ği̇t & İsmail Serkan Üncü. (2022) Integration of digital quality control for intelligent manufacturing of industrial ceramic tiles. Ceramics International 48:23, pages 34210-34233.
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Okeke Stephen, Samaneh Madanian & Minh Nguyen. (2022) A Hard Voting Policy-Driven Deep Learning Architectural Ensemble Strategy for Industrial Products Defect Recognition and Classification. Sensors 22:20, pages 7846.
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Ziqiu Kang, Cagatay Catal & Bedir Tekinerdogan. (2022) Product failure detection for production lines using a data-driven model. Expert Systems with Applications 202, pages 117398.
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Dongbock Kim, Sat Byul Seo, Nam Hyun Yoo & Gisu Shin. (2022) A Study on Sample Size Sensitivity of Factory Manufacturing Dataset for CNN-Based Defective Product Classification. Computation 10:8, pages 142.
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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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Monowar Wadud Hridoy, Mohammad Mizanur Rahman & Saadman Sakib. (2022) A Framework for Industrial Inspection System using Deep Learning. Annals of Data Science.
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Y. S. Gan, Wei-Chuen Yau, Sze-Teng Liong & Chih-Cheng Chen. (2022) Automated Classification System for Tick-Bite Defect on Leather. Mathematical Problems in Engineering 2022, pages 1-12.
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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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Salik Ram Khanal, Jorge Silva, Luís Magalhães, João Soares, Dibet Garcia Gonzalez, Yusbel Chavez Castilla & Manuel J. Ferreira. (2022) Leather Defect Detection Using Semantic Segmentation: A Hardware platform and software prototype. Procedia Computer Science 204, pages 573-580.
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Jun‐Jie Xu, Sze‐Teng Liong, Lit‐Ken Tan & Y. S. Gan. (2021) Find the centroid: A vision‐based approach for optimal object grasping. Journal of Food Process Engineering 44:9.
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Huy Toan Nguyen, Gwang-Huyn Yu, Nu-Ri Shin, Gyeong-Ju Kwon, Woo-Young Kwak & Jin-Young Kim. (2021) Defective Product Classification System for Smart Factory Based on Deep Learning. Electronics 10:7, pages 826.
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Wei Hou, Xian Tao & De Xu. (2021) A Self-Supervised CNN for Particle Inspection on Optical Element. IEEE Transactions on Instrumentation and Measurement 70, pages 1-12.
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Shih-Yu Chen, Yu-Chih Cheng, Wen-Long Yang & Mei-Yun Wang. (2021) Surface Defect Detection of Wet-Blue Leather Using Hyperspectral Imaging. IEEE Access 9, pages 127685-127702.
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