Recent Advances in Flotation Froth Image Analysis

Recent Advances in Flotation Froth Image Analysis

Machine vision is widely used in the monitoring of froth flotation plants as a means to assist control operators on the plant. While these systems have a mature ability to analyse physical froth features, such as the colour of the froth and bubble size distributions, research has continued to focus...

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Bibliographic Details
Main Authors: Aldrich, Chris, Avelar, Erica, Liu, Xiu
Format: Journal Article
Language:English
Published: Elsevier 2022
Subjects:
Science & Technology
Technology
Physical Sciences
Engineering, Chemical
Mineralogy
Mining & Mineral Processing
Engineering
Flotation froth image analysis
Computer vision
Artificial intelligence
Deep learning
Convolutional neural networks
Acknowledgements The authors acknowledge funding support from the Australian Research Council for the ARC Centre of Excellence for Enabling Eco-Efficient Beneficiation of Minerals
grant number CE200100009
BUBBLE-SIZE DISTRIBUTION
CONVOLUTIONAL NEURAL-NETWORKS
MINERAL FLOTATION
COOCCURRENCE MATRIX
PREDICTIVE CONTROL
SEGMENTATION ALGORITHM
TEXTURE EXTRACTION
SOFT SENSOR
RECOGNITION
PERFORMANCE
Online Access:http://hdl.handle.net/20.500.11937/97648

Internet

http://hdl.handle.net/20.500.11937/97648

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