Multivariate Image Processing in Minerals Engineering with Vision Transformers

QR Code

Multivariate Image Processing in Minerals Engineering with Vision Transformers

Vision transformers (ViTs) are a new class of deep learning algorithms that have recently emerged as a competitive alternative to convolutional neural networks. In this investigation, their application to two operations previously studied in the mineral processing industry is considered. These are i...

Full description

Bibliographic Details
Main Authors:	Liu, Xiu, Aldrich, Chris
Format:	Journal Article
Published:	Elsevier 2024
Online Access:	http://purl.org/au-research/grants/arc/CE200100009 http://hdl.handle.net/20.500.11937/94374

Similar Items

Monitoring of Mineral Processing Operations based on Multivariate Similarity Indices
by: Auret, L., et al.
Published: (2011)

Deep Learning Approaches to Image Texture Analysis in Material Processing
by: Liu, Xiu, et al.
Published: (2022)

Monitoring of mineral processing systems by using textural image analysis
by: Aldrich, Chris, et al.
Published: (2013)

Explaining anomalies in coal proximity and coal processing data with Shapley and tree-based models
by: Liu, Xiu, et al.
Published: (2022)

Recent Advances in Flotation Froth Image Analysis
by: Aldrich, Chris, et al.
Published: (2022)

Multivariate image analysis of realgar–orpiment flotation froths
by: Aldrich, Chris, et al.
Published: (2017)

Estimation of particle size in hydrocyclone underflow streams by use of Multivariate Image Analysis
by: Aldrich, Chris, et al.
Published: (2014)

Kernel-based fault diagnosis on mineral processing plants
by: Gorden, T., et al.
Published: (2006)

Multivariate image analysis of a realgar-orpiment batch froth flotation system
by: Aldrich, Chris, et al.
Published: (2014)

Automatic ore image segmention using mean shift and watershed transform
by: Amankwah, A., et al.
Published: (2011)

Automatic ore image segmentation using mean shift and watershed transform
by: Amankwah, A., et al.
Published: (2011)

Recognition of flotation froth conditions with k-shot learning and convolutional neural networks
by: Liu, Xiu, et al.
Published: (2023)

Machine vision-based motion estimation of flotation froth using mutual information
by: Amankwah, A., et al.
Published: (2011)

Image processing for robot vision application using matlab
by: Cheong, W.L
Published: (2010)

Estimation of particulate fines on conveyor belts by use of wavelets and morphological image processing
by: Amankwah, A., et al.
Published: (2011)

Towards sustainable processing of columbite group minerals: elucidating the relation between dielectric properties and physico-chemical transformations in the mineral phase
by: Sanchez-Segado, Sergio, et al.
Published: (2017)

Multi-sensor image enhancement and fusion for vision clarity using contourlet transform
by: Asmare , M.H., et al.
Published: (2009)

The Heavy Mineral Map of Australia: Vision and Pilot Project
by: Caritat, P.D., et al.
Published: (2022)

CCS 504 - COMPUTER VISION AND IMAGE PROCESSING - SEPT. 2002
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2002)

CCS504 – COMPUTER VISION AND IMAGE PROCESSING - SEPT. 2002
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2002)

CCS504 – COMPUTER VISION AND IMAGE PROCESSING - OKT. 2003
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2003)

CPT344 – Computer Vision & Image Processing January 2018
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2018)

CCS504 – COMPUTER VISION AND IMAGE PROCESSING CSC543 – DIGITAL IMAGE PROCESSING - SEPT. 2001
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2001)

Transformational leadership: learning to share the vision
by: Michael, Rene
Published: (2006)

Monitoring the drying process of glutinous rice using hyperspectral imaging coupled with multivariate analysis
by: Jimoh, Kabiru Ayobami, et al.
Published: (2024)

Atmospheric leach process of high-chromitite PGM-bearing oxidized mineralized ore through a single-stage and two-stage techniques
by: Mpinga, C., et al.
Published: (2018)

Water accounting in mining and minerals processing
by: Cote, C., et al.
Published: (2012)

Online monitoring and control of froth flotation systems with machine vision:A review
by: Aldrich, Chris, et al.
Published: (2010)

The Islamic vision of social transformation and societal development
by: Sulaiman, Kabuye Uthman
Published: (2019)

Managing the potential risks of using bacteria-laden water in mineral processing to protect freshwater
by: Liu, W., et al.
Published: (2013)

Stereo vision images processing for real-time object distance and size measurements
by: Mohd Mustafah, Yasir, et al.
Published: (2012)

CPT344 – Computer Vision & Image Processing (December 2019 / January 2020)
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2020)

CPT344 – Computer Vision & Image Processing (Penglihatan Komputer & Pemprosesan Imej)
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2021)

Rock image segmentation using watershed with shape markers
by: Amankwah, A., et al.
Published: (2010)

Multiresolution Image Registration Using Spatial Mutual Information
by: Amankwah, Anthony, et al.
Published: (2012)

Automatic flotation froth bubble size distribution estimation using mean shift and watershed transforms.
by: Amankwah, A., et al.
Published: (2014)

Tools For Pattern Recognition In Univariate And Multivariate Processes
by: Chinna, Karuthan
Published: (2007)

Loss of life of the mineral oil immersed transformers
by: Askari, Mohammad Tolou, et al.
Published: (2015)

A spatial information measure method for hyperspectral image visualization
by: Amankwah, A., et al.
Published: (2015)

Estimation of platinum flotation grades from froth image data
by: Marais, C., et al.
Published: (2011)