Get started
Keyword

defect segmentation

Description: A computer-vision task that identifies defective regions and delineates their boundaries in images of manufactured surfaces or components.
OpenAlex ID: keywords/defect-segmentation
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
PDF
A Generic Deep-Learning-Based Approach for Automated Surface Inspection
2017 · Ruoxu Ren, Terence Hung, et al. · IEEE Transactions on Cybernetics · 484
Mixed supervision for surface-defect detection: From weakly to fully supervised learning
2021 · Jakob Božič, Domen Tabernik, et al. · Computers in Industry · 375
PDF
Steel defect classification with Max-Pooling Convolutional Neural Networks
2012 · Jonathan Masci, Ueli Meier, et al. · 2022 International Joint Conference on Neural Networks (IJCNN) · 345
Anomaly detection of defects on concrete structures with the convolutional autoencoder
2020 · J.K. Chow, Z. Su, et al. · Advanced Engineering Informatics · 336
Mobile-Unet: An efficient convolutional neural network for fabric defect detection
2020 · Junfeng Jing, Zhen Wang, et al. · Textile Research Journal · 325
EDRNet: Encoder–Decoder Residual Network for Salient Object Detection of Strip Steel Surface Defects
2020 · Guorong Song, Kechen Song, et al. · IEEE Transactions on Instrumentation and Measurement · 311
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning
2018 · Max Ferguson, Ronay Ak, et al. · Smart and Sustainable Manufacturing Systems · 275
PDF
A real-time grading method of apples based on features extracted from defects
2003 · V. Leemans, M.-F. Destain · Journal of Food Engineering · 258
Automatic defect detection and segmentation of tunnel surface using modified Mask R-CNN
2021 · Yingying Xu, Dawei Li, et al. · Measurement · 250
Automatic surface defect detection for mobile phone screen glass based on machine vision
2016 · Chuanxia Jian, Jian Gao, et al. · Applied Soft Computing · 242
Deep CNN-based visual defect detection: Survey of current literature
2023 · Shashi Bhushan Jha, Radu F. Babiceanu · Computers in Industry · 227
Computer vision based system for apple surface defect detection
2002 · Qingzhong Li, Maohua Wang, et al. · Computers and Electronics in Agriculture · 217
Development of a multi-spectral vision system for the detection of defects on apples
2004 · O. Kleynen, V. Leemans, et al. · Journal of Food Engineering · 206
PDF
Computer vision-based apple grading for golden delicious apples based on surface features
2016 · Payman Moallem, Alireza Serajoddin, et al. · Information Processing in Agriculture · 201
PDF
Vision system for on-loom fabric inspection
1999 · H. Sari-Sarraf, J.S. Goddard · IEEE Transactions on Industry Applications · 170
Unsupervised fabric defect detection based on a deep convolutional generative adversarial network
2019 · Guanghua Hu, Junfeng Huang, et al. · Textile Research Journal · 167
Cas-VSwin transformer: A variant swin transformer for surface-defect detection
2022 · Linfeng Gao, Jianxun Zhang, et al. · Computers in Industry · 166
Defects segmentation on ‘Golden Delicious’ apples by using colour machine vision
1998 · V. Leemans, H. Magein, et al. · Computers and Electronics in Agriculture · 166
Anomaly Detection and Segmentation for Wafer Defect Patterns Using Deep Convolutional Encoder–Decoder Neural Network Architectures in Semiconductor Manufacturing
2019 · Takeshi Nakazawa, Deepak V. Kulkarni · IEEE Transactions on Semiconductor Manufacturing · 158
PDF
A real-time mathematical computer method for potato inspection using machine vision
2011 · Navid Razmjooy, B. Somayeh Mousavi, et al. · Computers & Mathematics with Applications · 157
PDF
Automatic grading of Bi-colored apples by multispectral machine vision
2010 · Devrim Unay, Bernard Gosselin, et al. · Computers and Electronics in Agriculture · 152
PDF
AE—Automation and Emerging Technologies
2002 · V. Leemans, H. Magein, et al. · Biosystems Engineering · 151
PDF
Fabric Defect Detection Using Activation Layer Embedded Convolutional Neural Network
2019 · Wenbin Ouyang, Bugao Xu, et al. · IEEE Access · 138
PDF
Fabric Defect Segmentation Method Based on Deep Learning
2021 · Yanqing Huang, Junfeng Jing, et al. · IEEE Transactions on Instrumentation and Measurement · 130
Works count: 1,158
Citation count: 16,360
Year
Topic
Type