Keyword

defect classification

Description: Defect classification is the process of assigning detected flaws to categories in machine vision and industrial surface inspection.

Primary topic: Industrial Vision Systems and Defect Detection (43%)

OpenAlex ID: keywords/defect-classification

Defect engineering in photocatalytic materials

2018 · Song Bai, Ning Zhang, et al. · Nano Energy · 1,242

Intelligent Fault Diagnosis and Prognosis for Engineering Systems

2006 · George Vachtsevanos, Frank Lewis, et al. · Wiley eBooks · 1,134

State of the Art in Defect Detection Based on Machine Vision

2021 · Zhonghe Ren, Fengzhou Fang, et al. · International Journal of Precision Engineering and Manufacturing-Green Technology · 814

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A systematic analysis of defects in ion-implanted silicon

1988 · K. S. Jones, S. Prussin, et al. · Applied Physics A · 509

Using Deep Learning to Detect Defects in Manufacturing: A Comprehensive Survey and Current Challenges

2020 · Jing Yang, Shaobo Li, et al. · Materials · 490

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Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural Networks

2018 · Xian Tao, Dapeng Zhang, et al. · Applied Sciences · 471

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Fabric defect detection by Fourier analysis

2000 · Chi-Ho Chan, G.K.H. Pang · IEEE Transactions on Industry Applications · 442

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

2020 · Tamás Czimmermann, Gastone Ciuti, et al. · Sensors · 436

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Software defect prediction using ensemble learning on selected features

2014 · Issam H. Laradji, Mohammad Alshayeb, et al. · Information and Software Technology · 381

Mixed supervision for surface-defect detection: From weakly to fully supervised learning

2021 · Jakob Božič, Domen Tabernik, et al. · Computers in Industry · 375

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Image-Based Surface Defect Detection Using Deep Learning: A Review

2021 · Prahar M. Bhatt, Rishi K. Malhan, et al. · Journal of Computing and Information Science in Engineering · 365

A feature extraction technique based on principal component analysis for pulsed Eddy current NDT

2002 · Ali Sophian, Gui Yun Tian, et al. · NDT & E International · 343

Fabric defect detection by Fourier analysis

2003 · Chi-Ho Chan, G. Pang · 330

Articular cartilage and osteochondral tissue engineering techniques: Recent advances and challenges

2021 · Wenying Wei, Honglian Dai · Bioactive Materials · 327

A multi-scale convolutional neural network for autonomous anomaly detection and classification in a laser powder bed fusion additive manufacturing process

2018 · Luke Scime, Jack Beuth · Additive manufacturing · 323

Review of vision-based steel surface inspection systems

2014 · Nirbhar Neogi, Dusmanta K Mohanta, et al. · EURASIP Journal on Image and Video Processing · 322

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A Review and Analysis of Automatic Optical Inspection and Quality Monitoring Methods in Electronics Industry

2020 · Abd Al Rahman M. Abu Ebayyeh, Alireza Mousavi · IEEE Access · 312

Machine learning algorithms for defect detection in metal laser-based additive manufacturing: A review

2022 · Yanzhou Fu, Austin R.J. Downey, et al. · Journal of Manufacturing Processes · 306

Deep learning based automatic defect identification of photovoltaic module using electroluminescence images

2020 · Wuqin Tang, Qiang Yang, et al. · Solar Energy · 304

Principles of a classification of defects in ordered media

1976 · G. Toulouse, M. Kléman · Journal de Physique Lettres · 289

Missing Linkers: An Alternative Pathway to UiO-66 Electronic Structure Engineering

2017 · Arthur De Vos, Kevin Hendrickx, et al. · Chemistry of Materials · 288

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Machine vision intelligence for product defect inspection based on deep learning and Hough transform

2019 · Jinjiang Wang, Peilun Fu, et al. · Journal of Manufacturing Systems · 287

On the value of static analysis for fault detection in software

2006 · J. Zheng, L. Williams, et al. · IEEE Transactions on Software Engineering · 284

Colloquium : Disclination loops, point defects, and all that in nematic liquid crystals

2012 · Gareth P. Alexander, Bryan Gin-ge Chen, et al. · Reviews of Modern Physics · 278

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Review of surface defect detection of steel products based on machine vision

2022 · Bo Tang, Li Chen, et al. · IET Image Processing · 277

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Works count: 7,974

Citation count: 82,030