Recent advances in flotation froth image analysis

C Aldrich, E Avelar, X Liu - Minerals Engineering, 2022 - Elsevier
Abstract 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 …

Flotation froth image classification using convolutional neural networks

M Zarie, A Jahedsaravani, M Massinaei - Minerals Engineering, 2020 - Elsevier
In recent years, the use of machine vision systems for monitoring and control of the flotation
plants has significantly increased. The classification of froth images is a critical step in …

Advancements in Machine Learning for Optimal Performance in Flotation Processes: A Review

A Szmigiel, DB Apel, K Skrzypkowski, L Wojtecki, Y Pu - Minerals, 2024 - mdpi.com
Flotation stands out as a successful and extensively employed method for separating
valuable mineral particles from waste rock. The efficiency of this process is subjected to the …

Multi-information online detection of coal quality based on machine vision

Z Zhang, Y Liu, Q Hu, Z Zhang, L Wang, X Liu, X Xia - Powder Technology, 2020 - Elsevier
Online multi-information detection of mineral properties and composition plays a vital role in
the realization of digital mining and digital concentrating mill, and the way of machine vision …

A watershed segmentation algorithm based on an optimal marker for bubble size measurement

H Zhang, Z Tang, Y Xie, X Gao, Q Chen - Measurement, 2019 - Elsevier
Bubble segmentation is the most popular method for bubble size measurement. However,
due to the complexity of the froth image, the present image segmentation methods cannot …

Machine vision based monitoring and analysis of a coal column flotation circuit

M Massinaei, A Jahedsaravani, E Taheri, J Khalilpour - Powder technology, 2019 - Elsevier
Flotation columns are being routinely used for recovery of fine coal particles in the coal
preparation plants. Because of high sensitivity of the flotation columns to variations in the …

Multi-scale coal and gangue dual-energy X-ray image concave point detection and segmentation algorithm

L He, S Wang, Y Guo, G Cheng, K Hu, Y Zhao, X Wang - Measurement, 2022 - Elsevier
The premise of identifying, locating, and sorting coal and gangue using photoelectric sorting
technology is that independent image targets should be obtained. In this study, concave …

Revolutionizing flotation process working condition identification based on froth audio

Y Wang, C Liu, H Wu, Q Sui, C Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Effective and timely identification of working conditions is critical for ensuring safe and
efficient long-term operations in industrial flotation processes. Previous studies on the …

Online monitoring of flotation froth bubble-size distributions via multiscale deblurring and multistage jumping feature-fused full convolutional networks

J Liu, Q Gao, Z Tang, Y Xie, W Gui… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
This article proposes an online bubble size distribution (BSD) monitoring scheme by
incorporating a multiscale-deblurring full convolutional network (FulConNet)(MsD) and a …

Digitalization solutions in the mineral processing industry: the case of GTK Mintec, Finland

A Nad, M Jooshaki, E Tuominen, S Michaux, A Kirpala… - Minerals, 2022 - mdpi.com
The technologies used in mineral process engineering are evolving. The digital mineral
processing solutions are based on advances in our ability to instrumentally measure …