Application of Volume Detection Based on Machine Vision in Coal and Gangue Separation
Author:
Affiliation:
1. Northeastern University,School of Information Science and Engineering,Shenyang,China
2. School of Control Engineering Northeastern University at Qinhuangdao,Qinhuangdao,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9712847/9712848/09713460.pdf?arnumber=9713460
Reference11 articles.
1. Visual classification method based on CNN for coal-gangue sorting robots
2. Research on an on-line coal & gangue identification model based on dual energy gamma-ray transmmission;zhang;Ind Instrum Autom,2000
3. Construction of intelligent visual coal and gangue separation system based on CoppeliaSim
4. YOLO9000: Better, Faster, Stronger
5. Design and Development of a High Speed Sorting System Based on Machine Vision Guiding
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1. An accurate measurement method of irregular coal gangue volume based on adaptive image restoration and error compensation;Measurement;2025-01
2. Research and prospect of underground intelligent coal gangue sorting technology: A review;Minerals Engineering;2024-09
3. Coal/Gangue Volume Estimation with Convolutional Neural Network and Separation Based on Predicted Volume and Weight;Computers, Materials & Continua;2024
4. Coal Gangue Classification Based on the Feature Extraction of the Volume Visual Perception ExM-SVM;Energies;2023-02-20
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