A Roberts cross operator combined with mathematical morphology algorithm for fabric defect detection
Author:
Affiliation:
1. Nanjing University of Information Science and Technology,School of Computer Science,Nanjing,China
2. Nanjing Normal University of Special Education,College of Mathematics and Information Science,Nanjing,China
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9927523/9927699/09927913.pdf?arnumber=9927913
Reference37 articles.
1. Automatic fabric defect detection using a deep convolutional neural network
2. Application of deep convolutional neural network on feature extraction and detection of wood defects
3. Automatic fabric defect detection with a wide-and-compact network
4. Efficient In-Loop Filtering Based on Enhanced Deep Convolutional Neural Networks for HEVC
5. Fast Three-Phase Fabric Defect Detection
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