3D feature characterization of flotation froth based on a dual-attention encoding volume stereo matching model and binocular stereo vision extraction

Author:

Hu Fuyue,Fan Yuping,Ma Xiaomin,Dong Xianshu,Feng Zengchao,Sun Yujin,Niu Jian

Funder

Shanxi Provincial Key Research and Development Project

Publisher

Elsevier BV

Reference40 articles.

1. Two-stream deep feature-based froth flotation monitoring using visual attention clues;Ai;IEEE Trans. Instrum. Meas.,2021

2. Recent advances in flotation froth image analysis;Aldrich;Miner. Eng.,2022

3. Review of deep learning: concepts, CNN architectures, challenges, applications, future directions;Alzubaidi;J. Big Data,2021

4. A machine vision based method for extracting visual features of froth in copper floatation process;Barhoun,2022

5. Prediction of complex sulfide flotation performances by a combined 3D fractal and colour analysis of the froths;Bonifazi;Miner. Eng.,2000

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