An image segmentation algorithm for measurement of flotation froth bubble size distributions-Reference-Cited by-同舟云学术

An image segmentation algorithm for measurement of flotation froth bubble size distributions

Published:2017-12 Issue: Volume:111 Page:29-37
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Jahedsaravani A.,Massinaei M.,Marhaban M.H.

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference18 articles.

1. Online monitoring and control of froth flotation systems with machine vision: a review;Aldrich;Int. J. Miner. Process.,2010

2. Characterisation of flotation froth colour and structure by machine vision;Bonifazi;Comput. Geosci.,2001

3. A real time visual sensor for supervision of flotation cells;Cipriano;Miner. Eng.,1998

4. Modeling the relationship between froth bubble size and flotation performance using image analysis and neural networks;Hosseini;Chem. Eng. Commun.,2014

5. Prediction of the metallurgical performances of a batch flotation system by image analysis and neural networks;Jahedsaravani;Miner. Eng.,2014

Cited by 51 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A froth velocity measurement method based on improved U-Net++ semantic segmentation in flotation process;International Journal of Minerals, Metallurgy and Materials;2024-08

2. A semantic segmentation-based algorithm for fast flotation bubble size distribution measurement;Chemical Engineering Research and Design;2024-08

3. A segmentation method based on boundary fracture correction for froth scale measurement;Applied Intelligence;2024-05

4. Advancements in Machine Learning for Optimal Performance in Flotation Processes: A Review;Minerals;2024-03-24

5. An Optimal Fusion Marker-Based Watershed Segmentation Method For Bubble Metering;2024 4th International Conference on Consumer Electronics and Computer Engineering (ICCECE);2024-01-12