Automated detection of defects with low semantic information in X-ray images based on deep learning
出版年份 2020 全文链接
标题
Automated detection of defects with low semantic information in X-ray images based on deep learning
作者
关键词
-
出版物
JOURNAL OF INTELLIGENT MANUFACTURING
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-03-27
DOI
10.1007/s10845-020-01566-1
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Railway track fastener defect detection based on image processing and deep learning techniques: A comparative study
- (2019) Xiukun Wei et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Segmentation-based deep-learning approach for surface-defect detection
- (2019) Domen Tabernik et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Approaches for improvement of the X-ray image defect detection of automobile casting aluminum parts based on deep learning
- (2019) Wangzhe Du et al. NDT & E INTERNATIONAL
- Mask R-CNN
- (2018) Kaiming He et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Automated defect inspection of LED chip using deep convolutional neural network
- (2018) Hui Lin et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Railway Subgrade Defect Automatic Recognition Method Based on Improved Faster R-CNN
- (2018) Xinjun Xu et al. Scientific Programming
- Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques
- (2018) Jack C.P. Cheng et al. AUTOMATION IN CONSTRUCTION
- Defect diagnosis for polymeric samples via magnetic levitation
- (2018) Neng Xia et al. NDT & E INTERNATIONAL
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- (2017) Shaoqing Ren et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Advanced 3D failure characterization in multi-layered PCBs
- (2016) E. Grünwald et al. NDT & E INTERNATIONAL
- Ultrasonic analysis and lock-in thermography for debonding evaluation of composite adhesive joints
- (2016) D. Palumbo et al. NDT & E INTERNATIONAL
- GDXray: The Database of X-ray Images for Nondestructive Testing
- (2015) Domingo Mery et al. JOURNAL OF NONDESTRUCTIVE EVALUATION
- Detection and classification of surface defects of gun barrels using computer vision and machine learning
- (2015) Rajalingappaa Shanmugamani et al. MEASUREMENT
- Computer vision technology for X-ray testing
- (2014) D Mery INSIGHT
- Quantitative X-ray tomography
- (2013) E. Maire et al. INTERNATIONAL MATERIALS REVIEWS
- Automatic Defect Detection on Hot-Rolled Flat Steel Products
- (2012) Santanu Ghorai et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Quantification of the capability of micro-CT to detect defects in castings using a new test piece and a voxel-based comparison method
- (2011) A. Staude et al. NDT & E INTERNATIONAL
- Object Detection with Discriminatively Trained Part-Based Models
- (2009) P F Felzenszwalb et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Automatic ultrasonic inspection for internal defect detection in composite materials
- (2007) T. D’Orazio et al. NDT & E INTERNATIONAL
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