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Feature Extraction of Gear Fault Signal Based on Sobel Operator and WHT

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Comparison of Document Management Systems by Meta Modeling and Workforce Centric Tuning Measures

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Feature Extraction of Gear Fault Signal Based on Sobel Operator and WHT

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An edge-adaptive demosaicking method based on image correlation

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Edge Detection Algorithm Based on the Eight Directions Sobel Operator

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Multi-frequency least squares demodulation method in electromagnetic rail inspection

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An Integration Method for Edge Detection

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Automated Visual Defect Detection for Flat Steel Surface: A Survey

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

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A Review on Recent Advances in Vision-based Defect Recognition towards Industrial Intelligence

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Steel Surface Defect Recognition: A Survey

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Automatic Detection and Classification of Steel Surface Defect Using Deep Convolutional Neural Networks

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Research Progress of Automated Visual Surface Defect Detection for Industrial Metal Planar Materials

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Defect transformer: An efficient hybrid transformer architecture for surface defect detection

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A review of applications of visual inspection technology based on image processing in the railway industry

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An Improved VGG19 Transfer Learning Strip Steel Surface Defect Recognition Deep Neural Network Based on Few Samples and Imbalanced Datasets

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Surface Defect Detection Using Image Pyramid

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Research on deep learning method for rail surface defect detection

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A Transfer Residual Neural Network Based on ResNet-50 for Detection of Steel Surface Defects

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A critical review on applications of artificial intelligence in manufacturing

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A Deep Convolutional Neural Network for Detection of Rail Surface Defect

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Edge detection algorithm of image fusion based on improved Sobel operator

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A learning-based crack defect detection and 3D localization framework for automated fluorescent magnetic particle inspection

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Photonic signal processor based on a Kerr microcomb for real-time video image processing

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Noncontact Surface Roughness Estimation Using 2D Complex Wavelet Enhanced ResNet for Intelligent Evaluation of Milled Metal Surface Quality

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LAACNet: Lightweight adaptive activation convolution network-based defect detection on polished metal surfaces

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CGTD-Net: Channel-Wise Global Transformer-Based Dual-Branch Network for Industrial Strip Steel Surface Defect Detection

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Rail Surface Defect Detection Based on An Improved YOLOv5s

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An end-to-end steel surface defect detection approach via Swin transformer

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Boundary-Aware Gradient Operator Network for Medical Image Segmentation

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MA-YOLO: A Method for Detecting Surface Defects of Aluminum Profiles With Attention Guidance

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A Review of Computer Vision for Railways

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Photometric-Stereo-Based Defect Detection System for Metal Parts

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A Robust Completed Local Binary Pattern (RCLBP) for Surface Defect Detection

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Using ISU-GAN for unsupervised small sample defect detection

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Surface Defects Detection Using Non-convex Total Variation Regularized RPCA With Kernelization

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DAssd-Net: A Lightweight Steel Surface Defect Detection Model Based on Multi-Branch Dilated Convolution Aggregation and Multi-Domain Perception Detection Head

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Detecting Teeth Defects on Automotive Gears Using Deep Learning

Allam, A., Moussa, M. A., Tarry, C., & Veres, M. (2021) · Sensors · doi:10.3390/s21248480 · Cited by 21 · see citing works

Rail-STrans: A Rail Surface Defect Segmentation Method Based on Improved Swin Transformer

Si, C., Luo, H., Han, Y., & Ma, Z. (2024) · Applied Sciences · doi:10.3390/app14093629 · Cited by 20 · see citing works

AC‐SDBSCAN: Toward concealed object detection of passive terahertz images

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Lightweight Network-Based Surface Defect Detection Method for Steel Plates

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Surface defects 3D localization for fluorescent magnetic particle inspection via regional reconstruction and partial-in-complete point clouds registration

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MPFANet: a multipath feature aggregation network for steel surface defect detection

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RailSegVITNet: A lightweight VIT-based real-time track surface segmentation network for improving railroad safety

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A Review of Intrusion Detection for Railway Perimeter Using Deep Learning-Based Methods

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Object Detection Algorithm for Surface Defects Based on a Novel YOLOv3 Model

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Online detection of powder spatters in the additive manufacturing process

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Adaptive Edge Detection Algorithm Based on Grey Entropy Theory and Textural Features

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Automatic Detection and Quantification of Hot-Rolled Steel Surface Defects Using Deep Learning

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18 Tb/s photonic digital signal processor for real time video image processingPreprint

Tan, M., Xu, X., Boes, A., Corcoran, B., Nguyen, T. G., Chu, S. T., Little, B. E., Morandotti, R., Wu, J., Mitchell, A., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-1775424/v1 · Cited by 14 · see citing works

YOLOv4 Based Deep Learning Algorithm for Defects Detection and Classification of Rail Surfaces

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Image-based 3D reconstruction for rail profile measurement

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An adaptive clustering method detecting the surface defects on linear guide rails

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Zero-shot learning and classification of steel surface defects

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Image Sobel edge extraction algorithm accelerated by OpenCL

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Grey Relevancy Degree and Improved Eight-Direction Sobel Operator Edge Detection

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Improved YOLOv3 Model for Workpiece Stud Leakage Detection

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Research on Rail Surface Defect Detection Based on Improved CenterNet

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Image-Enhanced U-Net: Optimizing Defect Detection in Window Frames for Construction Quality Inspection

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Hot-Rolled, Heavy-Rail Image Recognition Based on Deep-Learning Network

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Research on the Design and Automatic Recognition Algorithm of Subsidence Marks for Close-Range Photogrammetry

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A Real-Time Green and Lightweight Model for Detection of Liquefied Petroleum Gas Cylinder Surface Defects Based on YOLOv5

Duman, B. (2025) · Applied Sciences · doi:10.3390/app15010458 · Cited by 8 · see citing works

An improved brain emotional learning algorithm for accurate and efficient data analysis

Mei, Y., & Tan, G. (2018) · Journal of Central South University · doi:10.1007/s11771-018-3808-6 · Cited by 8 · see citing works

The Detection of Yarn Roll’s Margin in Complex Background

Wang, J., Shi, Z., Shi, W., & Wang, H. (2023) · Sensors · doi:10.3390/s23041993 · Cited by 7 · see citing works

Surface Defect Detection using Hierarchical Features

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Security-oriented steganographic payload allocation for multi-remote sensing images

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Quantitative Detection of Rail Head Oblique Cracks by Laser Ultrasonic Surface Wave

Jiang, Y., Wang, R., Han, L., & Wang, Z. (2023) · Russian Journal of Nondestructive Testing · doi:10.1134/s1061830923600740 · Cited by 5 · see citing works

Surface defect detection method for discarded mechanical parts under heavy rust coverage

Zhang, Z., Wang, X., Wang, L., & Xia, X. (2024) · Scientific Reports · doi:10.1038/s41598-024-58620-8 · Cited by 5 · see citing works

The Detection of Thread Roll’s Margin Based on Computer Vision

Shi, Z., Shi, W., & Wang, J. (2021) · Sensors · doi:10.3390/s21196331 · Cited by 5 · see citing works

18 Terabit per second photonic digital signal processor for real time video image processingPreprint

Moss, D. (2022) · doi:10.31219/osf.io/j3q84 · Cited by 5 · see citing works

A High-Precision Edge Detection Algorithm Based on Improved Sobel Operator-Assisted HED

Yuan, Y., Chen, W., Tang, J., & Yang, J. R. (2024) · IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems · doi:10.1109/cyber63482.2024.10748749 · Cited by 4 · see citing works

Railway Track Faults Detection Using Ensemble Deep Transfer Learning Models

Al-madani, A. M., Gaikwad, D. A., Mahale, D. V., & Gaikwad, A. T. (2024) · Statistics Optimization & Information Computing · doi:10.19139/soic-2310-5070-1994 · Cited by 4 · see citing works

A sight on defect detection methods for imbalanced industrial data

Chaabi, M., & Hamlich, M. (2022) · ITM Web of Conferences · doi:10.1051/itmconf/20224301012 · Cited by 4 · see citing works

Using optical flow algorithm based on dynamic illumination mode to examine defects on highly reflective turbine blade surface

Shang, X., Song, W., Chen, Z., & Zhang, C. (2022) · IET Image Processing · doi:10.1049/ipr2.12608 · Cited by 2 · see citing works

A principled representation of elongated structures using heatmaps

Kordon, F., Stiglmayr, M., Maier, A., Vicario, C. M., Pertlwieser, T., & Kunze, H. (2023) · Scientific Reports · doi:10.1038/s41598-023-41221-2 · Cited by 2 · see citing works

A Novel Relocalization Method-Based Dynamic Steel Billet Flaw Detection and Marking System

Zhou, H., Chen, J., Hu, Q., Zhao, X., & Li, Z. (2023) · Electronics · doi:10.3390/electronics12234863 · Cited by 2 · see citing works

New Possibilistic Formalism Based on Confidence Levels for Metallic Surface Defect Classification

Elleuch, J. F., Mehdi, M. Z., Kammoun, H. M., Bellaaj, M., & Sellami, D. (2024) · IEEE Access · doi:10.1109/access.2024.3414840 · Cited by 2 · see citing works

Industrial defect detection model based on transfer learning and spatial attention mechanisms

Li, W., Chen, Y., Wang, N., & Tian, J. (2025) · Engineering Optimization · doi:10.1080/0305215x.2025.2485147 · Cited by 2 · see citing works

A Fault Diagnosis Approach for Rail Surface Anomalies Using FPGA in Railways

Yaman, O., Karaköse, M., & Akın, E. (2017) · International Journal of Applied Mathematics Electronics and Computers · doi:10.18100/ijamec.2017specialissue30469 · Cited by 2 · see citing works

Railway Track Multicomponent Segmentation Based on Residual Contextual Transformer

Qiu, Y., Liu, J., & Liu, H. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3403137 · Cited by 2 · see citing works

Improved Edge Detection Based on Adaptive Gaussian Smoothing in X-Ray Image

Setiawan, D., Pratama, A., Sudibyo, & Soeleman, M. A. (2018) · International Seminar on Application for Technology of Information and Communication (iSemantic) · doi:10.1109/isemantic.2018.8549763 · Cited by 2 · see citing works

Deep Learning-Based Steel Surface Defect Detection: A Survey

Wen, X., Yu, Z., He, Y., Wang, Z., Chen, X., & Song, K. (2026) · Coatings · doi:10.3390/coatings16091040 · Cited by 1 · see citing works

Methods for detecting surface defects on thin sheet materials for visual control automation (Review)

Novodranov, A. S. (2024) · Tehničeskaâ diagnostika i nerazrušaûŝij kontrol · doi:10.37434/tdnk2024.02.04 · Cited by 1 · see citing works

Photonic signal processor based on a Kerr microcomb for real time video image processingPreprint

Moss, D. (2024) · doi:10.31219/osf.io/qjx39 · Cited by 1 · see citing works

Inspection of Steel Strip Surface Defects Based on Visual Attention Mechanism

Tang, B., Li, Y., Sun, W. M., & Chen, L. (2022) · International Conference on Electronics Technology (ICET) · doi:10.1109/icet55676.2022.9824319

s photonic digital signal processing on real time video imagesPreprint

Moss, D. (2022) · doi:10.36227/techrxiv.20696023.v1

18 Terabit/s photonic digital signal processing on real time video imagesPreprint

Moss, D. (2022) · doi:10.36227/techrxiv.20696023

Packaging Bag Edge Detection Based on Improved Canny Algorithm

Wang, R., Wei, L., & Liu, X. (2022) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc55256.2022.10033428

Deep LBP-Enriched Real-time Segmentation for Hair Defect DetectionPreprint

Wang, X., Wang, J., Xu, X., Yan, F., & Zeng, Z. (2023) · Research Square · doi:10.21203/rs.3.rs-3195013/v1

A Signal Contour Extraction Algorithm based on Canny Operator and its Application in Bionic Communication

Huang, X., Zhang, J., Li, P., Chan, S., Lian, K., & Chen, Y. (2023) · IEEE International Conference on Parallel and Distributed Systems (ICPADS) · doi:10.1109/icpads60453.2023.00357

Optical Signal Processor Based on a Kerr Microcomb for Real Time Video Image ProcessingPreprint

Moss, D. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4802512

Compare the effect of Rhodococcus erythropolis and Rhodococcus equi on crude oil by FT-IR technique

Riahi, M. A., & Rasti, A. (2023) · International Journal of Petrochemical Science & Engineering · doi:10.15406/ipcse.2023.06.00129

Methods for recognizing surface defects on thin-sheet materials for visual testing automation (Review)

Novodranov, A. S. (2024) · The Paton Welding Journal · doi:10.37434/tpwj2024.08.05

FAD-Net: Automated Framework for Steel Surface Defect Detection in Urban Infrastructure Health Monitoring

Wang, N., Chen, Y., Li, W., Zhang, L., & Tian, J. (2025) · Big Data and Cognitive Computing · doi:10.3390/bdcc9060158

Automotive Scratch Detection: A Lightweight Convolutional Network Approach Augmented by Generative Adversarial Learning

Qu, G., Liao, J., Liu, K., Xu, B., & Qian, Y. (2025) · Machines · doi:10.3390/machines13121107

A multi-scale attention network for steel surface defect recognition

Chen, C. J., & Liu, R.-S. (2026) · Soft Computing · doi:10.1007/s00500-025-11053-5

Automatic detection of broken strands defects in distribution network conductors based on deep learning

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A Review of Computer Vision-Based Damage Detection in Steel Structures

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