Online, Real-time and Robust Detection and Localization of Foreign Objects on Paper Surface using Machine Vision and Clustering-Reference-Cited by-同舟云学术

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Online, Real-time and Robust Detection and Localization of Foreign Objects on Paper Surface using Machine Vision and Clustering

Published:2022-11-16 Issue: Volume: Page:
ISSN:
Container-title:2022 28th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)
language:
Short-container-title:

Author:

Tahir Muhammad Nabeel¹,Khalid Zubair²,Aslam Adeem³

Affiliation:

1. Rutgers University,Department of Electrical and Computer Engineering,NJ,USA

2. School of Science and Engineering, Lahore University of Management Sciences,Lahore,Pakistan

3. University of Engineering and Technology,Department of Electrical Engineering,Lahore,Pakistan

Funder

Higher Education Commission of Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10041021/10041042/10041095.pdf?arnumber=10041095

Reference20 articles.

1. Weld Defect Detection Based on Deep Learning Method

2. Anomaly detection in formed sheet metals using convolutional autoencoders

3. A Generic Automated Surface Defect Detection Based on a Bilinear Model

4. Surface defect classification in real-time using convolutional neural networks;arikan;ArXiv Preprint,2019

5. Data clustering

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