Visual-Based Defect Detection and Classification Approaches for Industrial Applications—A SURVEY

Cited by (452)

Items 201–300 of 452

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    Wei-Jia Huang, Qing Cheng, Jing Zhu · 2026 · Technologies
  2. A lightweight steel surface defect detection model for automotive manufacturing production lines
    Lu Zheng, Chengao Zhu, Yingzhi Li, Lei Xu, Mengting Ruan, Mian Wu, Chongwei Ruan, Jun Tie · 2026 · Engineering Applications of Artificial Intelligence
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    Ning Yan, Zexiao Li, Dongxue Wang, Zhipeng Guo, Xiaodong Zhang · 2022 · Measurement
  4. Normalizing Flow‐Based Industrial Complex Background Anomaly Detection
    Pengxv Wen, Xiaorong Gao, Yong Wang, Jinlong Li, Lin Luo · 2023 · Journal of Sensors
  5. Multi-level joint distributed alignment-based domain adaptation for cross-scenario strip defect recognition
    Kun Liu, Ying Zhen Yang, Xiaosong Yang, Jingkai Wang, Weipeng Liu, Haiyong Chen · 2024 · Journal of Intelligent Manufacturing
  6. Automatic Printed Fabric Defect Detection Based on Image Classification Using Modified VGG Network
    Samit Chakraborty, Marguerite M. Moore, Lisa Parrillo‐Chapman · 2021 · Lecture notes in networks and systems
  7. Multilabel image analysis on Polyethylene Terephthalate bottle images using PETNet Convolution Architecture
    Khoirul Aziz, Inggis Kurnia Trisiawan, Kadek Dwi Suyasmini, Zendi Iklima, Mirna Yunita · 2023 · SINERGI
  8. Latent Space Segmentation Model for Visual Surface Defect Inspection
    Mingxu Li, Bo Peng, Donghai Zhai · 2024 · IEEE Transactions on Instrumentation and Measurement
  9. Automatic Anode Rod Inspection in Aluminum Smelters using Deep-Learning Techniques: A Case Study
    Hamou Chehri, Abdellah Chehri, Lászlo István Kiss, Alfred Zimmerman · 2020 · Procedia Computer Science
  10. A Weakly Supervised Defect Detection Based on Dual Path Networks and GMA-CAM
    Huosheng Xie, Shufeng Lin · 2021 · Lecture notes in computer science
  11. Development of Sound Identification System for Domestic Actions Recognition
    Artem Sazonov, Arūnas Lipnickas, Rytis Augustauskas, Анатолій Іванович Жученко, Дмитро Олександрович Ковалюк, Anton Korotynskyi · 2021 · IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
  12. Unsupervised Anomaly Detection and Segmentation on Dirty Datasets
    Jiahao Guo, Xiaohuo Yu, Lu Wang · 2022 · Future Internet
  13. A sight on defect detection methods for imbalanced industrial data
    Meryem Chaabi, Mohamed Hamlich · 2022 · ITM Web of Conferences
  14. A Nonlinear Diffusion Model with Smoothed Background Estimation to Enhance Degraded Images for Defect Detection
    Tao Yang, Bingchao Xu, Bin Zhou, Wei Wei · 2022 · Applied Sciences
  15. A Review of AIoT-based Edge Devices and Lightweight Deployment
    Kailai Sun, Xinwei Wang, Qianchuan Zhao · 2022
  16. Development of a Low-Cost Infrared Imaging System for Real-Time Analysis and Machine Learning-Based Monitoring of GMAW
    Jairo José Muñoz Chávez, Margareth Nascimento de Souza Lira, Gerardo Antonio Idrobo Pizo, João da Cruz Payão Filho, Sadek Crisóstomo Absi Alfaro, José Maurício Santos Torres da Motta · 2025 · Sensors
  17. Unsupervised anomaly detection with a stacked transformer diffusion reconstruction framework
    Minjie Du, Hengyu Xu, Fulin Shang, Zheng Wang, Yining Hu, Lizhe Xie · 2026 · Expert Systems with Applications
  18. A review of deep learning-based Unsupervised Anomaly Detection in brain MRI
    Finn Behrendt, Debayan Bhattacharya, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer · 2026 · Medical Image Analysis
  19. A Survey of Surface Defect Detection in Machine Vision: Addressing Core Challenges, Methodologies, and Dataset Analysis
    Langyue Zhao, Yubin Yuan, Yiquan Wu · 2026 · Computers, materials & continua/Computers, materials & continua (Print)
  20. Computer vision‐based automated defect detection in ceramic bricks
    M. Yu. Kataev, Larisa Bulysheva · 2024 · Systems Research and Behavioral Science
  21. Thin Film Thickness Analysis Using a Deep Learning Algorithm with a Consideration of Reflectance Fluctuation
    Joonyoung Lee, Jonghan Jin · 2025 · International Journal of Precision Engineering and Manufacturing-Smart Technology
  22. FIRE-AD: frequency-dependent image reconstruction error for micro defect detection
    Yuhei Nomura, Hirotaka Hachiya · 2025 · Machine Vision and Applications
  23. YOLOv8n-GSE: Efficient Steel Surface Defect Detection Method
    Hongyan Wang, Weiyong Li, Bo Zhang, Zhenfei Gu · 2025 · IEEE Access
  24. Steel Surface Defect Detection and Classification Using Bag of Visual Words with BRISK
    Alaa Aldein M. S. Ibrahim, Jules‐Raymond Tapamo · 2023 · Smart innovation, systems and technologies
  25. Surface Defect Detection Based on Weakly Supervised Learning and Graph Convolutional Network
    Alexei Zakharov, E. V. Pugin, Maria Zakharova · 2023 · International Ural Conference on Electrical Power Engineering (UralCon)
  26. Research on a Classification Method for Strip Steel Surface Defects Based on Knowledge Distillation and a Self-Adaptive Residual Shrinkage Network
    Xinbo Huang, Zhiwei Song, Chao Ji, Ye Zhang, Luya Yang · 2023 · Algorithms
  27. Effect of Camera Choice on Image-Classification Inference
    Jason Brown, Andy Nguyễn, Nawin Raj · 2024 · Applied Sciences
  28. Real-time machine learning for in situ quality control in hybrid manufacturing: a data-driven approach
    Dinesh Mavaluru, Akanksha Tipparti, Anil Kumar Tipparti, Mohammed Ameenuddin, Jayabrabu Ramakrishnan, Rafath Samrin · 2025 · The International Journal of Advanced Manufacturing Technology
  29. Defects Identification, Localization, and Classification Approaches: A Review
    Khwaja Muinuddin Chisti Mohammed, S. Srinivas Kumar, Gandikota Prasad · 2021 · IETE Journal of Research
  30. The Impact of Temperature on the Surface Colour of Gas Turbine Blades Heated in the Presence of Kerosene
    Artur Kułaszka, Jóżef Błachnio, Henryk Borowczyk · 2023 · Aerospace
  31. Multi-line signal change detection for image segmentation with application in the ceramic tile industry
    Filip Sušac, Tomislav Matić, Ivan Aleksi, Tomislav Keser · 2021 · Bulletin of the Polish Academy of Sciences Technical Sciences
  32. Investigation of an Inline Inspection Method for the Examination of Cylinder-like Specular Surfaces Using Deflectometry
    Sebastian Gielinger, Günther Bohn, Frank Deinzer, Andreas Linke · 2022 · Applied Sciences
  33. Research Trends in Image Processing and Defect Detections
    Kumud Sachdeva, Shruti Aggarwal, Amit Verma, Sunil Kumar Chawla · 2022 · Lecture notes in networks and systems
  34. Integrated Autoencoder-Level Set Method Outperforms Autoencoder for Novelty Detection
    Shuo Liu Shuo Liu, Xuemei Ding, Damien Coyle · 2022 · International Joint Conference on Neural Networks (IJCNN)
  35. Interpretable Visual Question Answering Referring to Outside Knowledge
    He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama · 2023 · Proceedings - International Conference on Image Processing
  36. A Review on Steel Surface Image Features Extraction and Representation Methods
    Mohammed Waleed Ashour, Fatimah Khalid, Alfian Bin Abdul Halin, Samy H. Darwish, M. M. Abdulrazzaq · 2020 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
  37. Jointly Class-specific and Shared Discriminative Dictionary Learning for Classifying Surface Defects of Steel Sheet
    Shiyang Zhou, Huaiguang Liu, Ketao Cui, Zhiqiang Hao · 2021 · ISIJ International
  38. Zero-sample surface defect detection and classification based on semantic feedback neural network
    Yibo Guo, Yiming Fan, Zhiyang Xiang, Haidi Wang, Wenhua Meng, Mingliang Xu · 2021 · arXiv (Cornell University)
  39. A Lightweight Reconstruction Network for Surface Defect Inspection
    Chao Hu, Jian Yao, Weijie Wu, Weiibin Qiu, Liqiang Zhu · 2022 · Preprints.org
  40. A Comprehensive Review of AIoT-based Edge Devices and Lightweight Deployment
    Kailai Sun, Xinwei Wang, Qianchuan Zhao · 2022
  41. A Multi-Task Learning Framework for TextureAware Chromatic Aberration Detection
    Songsen Yu, Huan Yang, Hengtuo Cui, Yunheng Wu, Hong Cao · 2024 · Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)
  42. Machine Learning-Based on Abnormality Electronic Circuit Boards Detection System
    Jirasak Kokkaw, Krit Nakyai, Suphachai Thamhinkong, Pakpoom Chansri, Pasapitch Chujai Michel · 2025 · International Conference on Electronics, Information, and Communication (ICEIC)
  43. SITI-value-added heat map: a structural analysis method for mapping and eliminating information waste of information flow
    Runkai Tian, Fansen Kong, Siqi Zhang, Taibo Chen, Kaifang Ding, Ziyin Yu · 2025 · International Journal of Lean Six Sigma
  44. GRooUV: surface defect detection with Gabor filter using reconstruction-based blurring U-Net–ViT
    Jongwook Si, Sungyoung Kim · 2025 · The International Journal of Advanced Manufacturing Technology
  45. Faster R-CNN vs. Detection Transformer: Transfer Learning Approaches for Road Damage Detection and Classification
    R. Rakshitha, S. Srinath, N. Lakshman Kumar, S. Rashmi, B. V. Poornima · 2026 · Lecture notes in networks and systems
  46. A thematic review of AI-driven computational modeling and optimization for ceramic additive manufacturing
    Mohammadreza Haghighat · 2026 · Progress in Additive Manufacturing
  47. Enhancing operational performance in textile manufacturing: impact of deep learning-based defect detection
    Artur Carvalho, Vera Miguéis, Miguel Moura e Sá · 2026 · International Journal of Production Research
  48. Hierarchical vision Mamba with adaptive multi-scale fusion for steel surface defect classification
    Xinyi Yu, Haotian Sun, Jinmin Peng, Xianping Zeng, Yuanfu He, Liangshen Chen, Bingsan Chen · 2026 · Journal of King Saud University - Computer and Information Sciences
  49. Road Flaw Detection using CNN and Transfer Learning Techniques
    Vishakha Chourasia, S Tejas, Vishal Khekade · 2023 · International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI)
  50. Integrating Artificial Intelligence and Machine Learning in the Design and Manufacturing of Green and Flexible Electronics
    Manish Kumar Singh, Anamika Lata · 2023 · Advances in environmental engineering and green technologies book series
  51. Evaluation of autoencoder for CBIR system in deep learning
    Aashay Pawar · 2020 · IEEE India Conference
  52. A MODEL AND TRAINING METHOD FOR CONTEXT CLASSIFICATION IN CCTV SEWER INSPECTION VIDEO FRAMES
    В’ячеслав Васильович Москаленко, Микола Олександрович Зарецький, Альона Сергіївна Москаленко, Андрій Олександрович Панич, Viktor Lysyuk · 2021 · Radio Electronics Computer Science Control
  53. Deep Neural Network Models for the Recognition of Traffic Signs Defects
    Amr M. Nagy, László Czúni · 2021 · IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
  54. Transformer-based Encoder-Decoder Model for Surface Defect Detection
    Xiaofeng Lu, Wentao Fan · 2022 · International Conference on Innovation in Artificial Intelligence (ICIAI)
  55. Automated Vision Application in Industrial Defect Identification
    Peter Oluwatosin Oyekola, Aezeden Mohamed · 2022 · Lecture notes in mechanical engineering
  56. Neural Subspace Learning for Surface Defect Detection
    Bin Liu, Weifeng Chen, Bo Li, Xiuping Liu · 2022 · Mathematics
  57. A New Gradient Based Surface Defect Detection Method for the Ceramic Tile
    Murat Alparslan Güngör · 2022 · Sakarya University Journal of Science
  58. An Online Quality Detection Method With Ensemble Learning on Imbalance Data for Wave Soldering
    Hanpeng Gao, Yu Hui Guo, Shaohua Huang, Jian Xie, Daoyuan Liu, Tao Wu, Xu Tian · 2023 · Journal of Computing and Information Science in Engineering
  59. Design and implementation of intelligent electronic component inspection based on PLC and vision system
    Zulfa Fitri Ikatrinasari, Hendi Herlambang, Kosasih Kosasih · 2023 · Jurnal Sistem dan Manajemen Industri
  60. Highlight Removal from a Single Image Based on a Prior Knowledge Guided Unsupervised CycleGAN
    Yongkang Ma, Li Li, Hao Chen, Xian Li, Junchao Chen, Ping Zhu, Tao Peng, Xiong Pan · 2024 · Lecture notes in computer science
  61. A Lightweight Reconstruction Network for Surface Defect Inspection
    Chao Hu, Shengxin Lai · 2023 · International Conference on Machine Vision, Image Processing and Imaging Technology (MVIPIT)
  62. Texture-Based Garments Defect Detection Method Using Machine Learning
    Mayur Rahul, Shekhar Verma, Akhilesh Kumar Singh, Sarvachan Verma, Vikash Yadav · 2024 · Lecture notes in networks and systems
  63. Ground-based mobile imaging for detecting salt stress of cotton seedlings in the field
    Jiayi Li, Peiqi Ren, Yanpeng Bi, Atoba Tolulope Opeyemi, Jie Cui, Yang Gao, Dapeng Ye, Beibei Zhou, Haiyong Weng · 2024 · Computers and Electronics in Agriculture
  64. Automatic Fabric Inspection using GLCM-based Jensen-Shannon Divergence
    Venkataramana Asha · 2022 · Informatica
  65. Anomaly Detection for Industrial Time Series Data Based on Correlation Analysis and CNN-BiLSTM with Self-attention
    Xinyi Yu, Bingbing Zeng, Lidong Wang · 2024 · Asian journal of mathematics and computer research
  66. The Innovative Influence of Industry 4.0 on the Textile Industry
    Rui Miguel Dantas · 2024 · SDGs and textiles
  67. Dropout Deep Belief Network Based Chinese Ancient Ceramic Non-Destructive Identification
    Jizhong Huang, Yepeng Guan · 2021 · Sensors
  68. Artificial Intelligence for Product Quality Inspection in Manufacturing Industry - Online Detection of Edge Defects on Inorganic Solid Material
    Choumicha El Mazgualdi, Tawfik Masrour, Ibtissam El Hassani, Noureddine Barka, Abdelmoula Khdoudi · 2023 · Research Square
  69. Fabric Defect Detection Using Deep Learning
    Mr. P Durgaprasad · 2023 · International Journal for Research in Applied Science and Engineering Technology
  70. Study on Analysis of Defect Identification Methods in Manufacturing Industry
    Vinod Kumar Pal, Pankaj Mudholkar · 2024 · Communications in computer and information science
  71. Self-supervised Models are Strong Industrial Few-Shot Defect Classification Learners
    Teng Yang, Pengcheng Gao, Jinbao Wang, Yongliang Tang · 2025 · Lecture notes in computer science
  72. Enabling Parallel Processing at the Edge for Real-Time Video Analysis Applications
    Rafael C. Chaves, Lucas Manassés Pinheiro de Souza, Otacílio Araújo Ramos Neto, Ruan D. Gomes · 2025
  73. A novel multi-channel distinctive pooling for weakly supervised multi-label surface defect segmentation
    Ziyun Zhang, Lei Peng, Guangming Dai, Maocai Wang, Ying Gao, Jiayi Lin, Yandan Chen, Wentian Cai · 2025 · Measurement
  74. Research progress on key technologies for product surface defect detection based on empirical mode decomposition and deep learning
    Jianbin Xiong, Qianguang Zhang, Qi Wang, Jianxiang Yang, Xiangjun Dong, Qiong Liang · 2025 · The International Journal of Advanced Manufacturing Technology
  75. A load-adaptive multi-level feature fusion method for predicting metal fatigue crack length based on lamb wave and strain signals
    Qiang Gao, Hua Li, Xiaotian Wang, Junzhou Huo, Youfu Wang · 2025 · Theoretical and Applied Fracture Mechanics
  76. Nonparametric Monitoring of Spatial Dependence
    Philipp Adämmer, Philipp Wittenberg, Christian H. Weiß, Murat Caner Testik · 2025 · Technometrics
  77. Surface Defect Detection Method Based on a Small Number of Labeled Images
    Alexei Zakharov, Maxim Shamshin, Жизняков Аркадий Львович · 2025 · Pattern Recognition and Image Analysis
  78. Explaining anomalies through semi-supervised Autoencoders
    Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina, Simona Nisticò · 2025 · Array
  79. Selecting an Appropriate Ensemble Machine Learning Algorithm for Intelligent Quality Management in Production
    Djahida Belayadi, Djamila Bendouda, Nesrine Benali, Narimane Hamouche · 2025 · Communications in computer and information science
  80. A Hybrid CNN-SVM Algorithm for Detecting Manufacturing Defects
    Betül Karakaş, Sinem Kulluk · 2025 · IEEE Access
  81. Generating realistic 3D surface defects for training AI-Based industrial inspection systems
    Sara Roos Hoefgeest Toribio, Mario Roos-Hoefgeest, Daniel Garcia, Ignacio Álvarez, Rafael C. González · 2025 · The International Journal of Advanced Manufacturing Technology
  82. Metrological validation of a deep learning pipeline for in-line detection and dimensional quantification of three-dimensional surface defects
    Sofia Catalucci, Enrico Savio · 2025 · CIRP journal of manufacturing science and technology
  83. Vision-guided process optimization for stringing reduction in FDM 3D printing using RSM
    Rajamani Rajagounder, Aswin T M, S Dhinnesh, Guru Prasath K S, Hasina M · 2025 · Engineering Research Express
  84. RAGA-YOLO: Enhancing global structural perception for accurate and efficient surface defect detection
    Tianyi Zheng, Ling Yu, Yongbao Shi, Fanglin Niu · 2025 · Journal of Computational Design and Engineering
  85. YOLO-PTSW: an improved YOLOv8n-based algorithm for small target defect detection on swash plates
    Zhiyuan Shen, Yan Lv, Yihua Ni, Pengfei Wang · 2026 · Measurement Science and Technology
  86. SCID-Net: Few-shot deep-hole defect instance segmentation via multi-grained feature coupling and instance-aware inference decoupling
    Zongyang Zhao, Jiehu Kang, Yichen Xu, Jian Liang, Luyuan Feng, Yuqi Ren, Ting Xue, Bin Wu · 2026 · Expert Systems with Applications
  87. Integration of discriminant analysis with Artificial neural networks to decision analytic framework for enhancing automated visual IC inspection accuracy
    Tossapol Kiatcharoenpol, Sakon Klongboonjit · 2026 · Expert Systems with Applications
  88. Biomimetic Visual Perception Network for Industrial Image Anomaly Detection
    Siang Tang, Hua Yang, Jiankui Chen, Zhouping Yin · 2026 · IEEE Transactions on Automation Science and Engineering
  89. Enhanced active contour model with adaptive thresholds and noise reduction for robust image segmentation
    Guina Wang, Xirui Feng, Guirong Weng, Yiyang Chen · 2026 · The Visual Computer
  90. A Vision-Based Measurement Framework with Optimized K-Nearest Neighbor Regression for Net Mesh Size Control
    Muhammad Haziq Noor Akashah, Masako Yamamoto, Naoki Uchiyama · 2026 · IEEE International Workshop on Advanced Motion Control (AMC)
  91. Multi-scale class activation map for weakly supervised defect segmentation
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  92. Steel Surface Defect Detection Based on Improved YOLOv8 with Multi-Scale Feature Fusion and Attention Mechanism
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  93. HDSNet: hybrid CNN-transformer network for defect segmentation
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  94. EMN-Net: A Lightweight YOLOv8-Based Model for Real-Time Surface Defect Detection of Pharmaceutical Tablets
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  95. Closing the Digital twin loop Through human interaction using Extended Reality: a case study on laser cleaning
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  96. Visual inspection of low-velocity impact damage in aerospace composites: a comprehensive review
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  97. Defect or Design? Leveraging the Angle of Opportunity for Detecting Scratches on Brushed Aluminium Surfaces
    Anne Juhler Hansen, Thomas Baltzer Moeslund, Hendrik Ole Knoche · 2021 · IEEE Access
  98. Image Processing: Impact of Train and Test Sizes on Custom Image Recognition Algorithms
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  99. Pseudo-Supervised Defect Detection Using Robust Deep Convolutional Autoencoders
    M. Nedim Alpdemir · 2022 · Sakarya University Journal of Computer and Information Sciences
  100. SNRLM: a cyber-physical based stepwise noise removal and learning model for automated quality assurance
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