Computer Vision on X-Ray Data in Industrial Production and Security Applications: A Comprehensive Survey
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, DIGIT, Aarhus University, Aarhus, Denmark
2. Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland
Funder
Innovation Fund Denmark through the MADE FAST Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10005308.pdf?arnumber=10005308
Reference174 articles.
1. Multiclass Classification of Weld Defects in Radiographic Images Based on Support Vector Machines
2. A Generic Deep-Learning-Based Approach for Automated Surface Inspection
3. Weld Defect Detection of X-ray Images Based on Support Vector Machine
4. Automatic Detection of Welding Defects using Deep Neural Network
5. Automatic weld defect detection in real-time X-ray images based on support vector machine
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