Keyword

defect detection

Description: The identification of flaws or unwanted irregularities in materials, products, or components using inspection and image-analysis methods.

Primary topic: Industrial Vision Systems and Defect Detection (21%)

OpenAlex ID: keywords/defect-detection

Image Analysis Using Mathematical Morphology

1987 · Robert M. Haralick, Stanley R. Sternberg, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2,717

MVTec AD — A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection

2019 · Paul Bergmann, Michael Fauser, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2,185

Towards Total Recall in Industrial Anomaly Detection

2022 · Karsten Roth, Latha Pemula, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,786

Theory and Practice of Infrared Technology for Nondestructive Testing

2001 · Xavier Maldague · 1,661

Ultrasonic Testing of Materials

1983 · Josef Krautkrämer, Herbert Krautkrämer · Springer eBooks · 1,661

Hyperspectral imaging – an emerging process analytical tool for food quality and safety control

2007 · A GOWEN, C ODONNELL, et al. · Trends in Food Science & Technology · 1,417

Nondestructive testing handbook

1959 · Robert C. McMaster · Ronald Press eBooks · 1,099

CutPaste: Self-Supervised Learning for Anomaly Detection and Localization

2021 · Chun-Liang Li, Kihyuk Sohn, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,096

Ultrasonic Testing of Materials

1990 · Josef Krautkrämer, Herbert Krautkrämer · Springer eBooks · 1,094

A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure

2015 · Christian Koch, Kristina Georgieva, et al. · Advanced Engineering Informatics · 1,061

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The S LAM project

2002 · Thomas Ball, Sriram K. Rajamani · ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL) · 923

The interaction of Lamb waves with defects

1992 · D.N. Alleyne, P. Cawley · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · 891

Defect identification in semiconductors with positron annihilation: Experiment and theory

2013 · Filip Tuomisto, Ilja Makkonen · Reviews of Modern Physics · 829

Process defects and in situ monitoring methods in metal powder bed fusion: a review

2017 · Marco Grasso, Bianca Maria Colosimo · Measurement Science and Technology · 827

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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 review of non-destructive testing methods of composite materials

2016 · S. Gholizadeh · Procedia Structural Integrity · 799

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Active health monitoring of an aircraft wing with embedded piezoelectric sensor/actuator network: I. Defect detection, localization and growth monitoring

2007 · Xiaoliang Zhao, Huidong Gao, et al. · Smart Materials and Structures · 736

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DeepGauge: multi-granularity testing criteria for deep learning systems

2018 · Lei Ma, Felix Juefei-Xu, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE) · 709

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Advances in software inspections

1986 · Michael E. Fagan · IEEE Transactions on Software Engineering · 638

Fruits and vegetables quality evaluation using computer vision: A review

2018 · Anuja Bhargava, Atul Bansal · Journal of King Saud University - Computer and Information Sciences · 634

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Theory of double-resonant Raman spectra in graphene: Intensity and line shape of defect-induced and two-phonon bands

2011 · Pedro Venezuela, Michele Lazzeri, et al. · Physical Review B · 622

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Quality Engineering using Design of Experiments

1989 · M. S. Phadke · Springer eBooks · 595

Non-destructive testing and evaluation of composite materials/structures: A state-of-the-art review

2020 · Bing Wang, Shuncong Zhong, et al. · Advances in Mechanical Engineering · 587

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Design of deep convolutional neural network architectures for automated feature extraction in industrial inspection

2016 · Daniel Weimer, Bernd Scholz-Reiter, et al. · CIRP Annals · 577

Microwave and millimeter wave nondestructive testing and evaluation - Overview and recent advances

2007 · Sergey Kharkovsky, Reza Zoughi · IEEE Instrumentation & Measurement Magazine · 553

Works count: 53,820

Citation count: 369,500