Rock classification from field image patches analyzed using a deep convolutional neural network
X Ran, L Xue, Y Zhang, Z Liu, X Sang, J He - Mathematics, 2019 - mdpi.com
The automatic identification of rock type in the field would aid geological surveying,
education, and automatic mapping. Deep learning is receiving significant research attention …
education, and automatic mapping. Deep learning is receiving significant research attention …
[PDF][PDF] Recent trends in texture classification: a review
Texture classification is used in various pattern recognition applications that possess feature-
liked appearance. This paper aims to compile the recent trends on the usage of feature …
liked appearance. This paper aims to compile the recent trends on the usage of feature …
A machine vision approach to on-line estimation of run-of-mine ore composition on conveyor belts
J Tessier, C Duchesne, G Bartolacci - Minerals Engineering, 2007 - Elsevier
Variations in run-of-mine ore properties such as size, composition, and grindability strongly
affect AG and SAG mills performance. In the past, most efforts to track and control these …
affect AG and SAG mills performance. In the past, most efforts to track and control these …
Application of numerical image analysis to process diagnosis and physical parameter measurement in mineral processes—part I: flotation control based on froth …
G Bartolacci, P Pelletier Jr, J Tessier Jr, C Duchesne… - Minerals …, 2006 - Elsevier
This paper summarizes research into the study of the control of flotation processes based on
froth images. A review of the froth flotation operation background and the relevance and role …
froth images. A review of the froth flotation operation background and the relevance and role …
The application of k-medoids and pam to the clustering of rules
AP Reynolds, G Richards… - … Data Engineering and …, 2004 - Springer
Earlier research has resulted in the production of an 'all-rules' algorithm for data-mining that
produces all conjunctive rules of above given confidence and coverage thresholds. While …
produces all conjunctive rules of above given confidence and coverage thresholds. While …
Coal and gangue separating robot system based on computer vision
Z Sun, L Huang, R Jia - Sensors, 2021 - mdpi.com
In coal production, the raw coal contains a large amount of gangue, which affects the quality
of coal and pollutes the environment. Separating coal and gangue can improve coal quality …
of coal and pollutes the environment. Separating coal and gangue can improve coal quality …
Multispectral texture characterization: application to computer aided diagnosis on prostatic tissue images
R Khelifi, M Adel, S Bourennane - EURASIP Journal on Advances in …, 2012 - Springer
Various approaches have been proposed in the literature for texture characterization of
images. Some of them are based on statistical properties, others on fractal measures and …
images. Some of them are based on statistical properties, others on fractal measures and …
Separation of gangue from coal based on supplementary texture by morphology
Z Sun, W Lu, P Xuan, H Li, S Zhang… - International Journal of …, 2022 - Taylor & Francis
The separation of coal and gangue is an important aspect of coal production, which can
improve coal quality, save energy, reduce consumption, and enable the rational use of …
improve coal quality, save energy, reduce consumption, and enable the rational use of …
Development of machine vision-based ore classification model using support vector machine (SVM) algorithm
The product of the mining industry (ore) is considered to be the raw material for the metal
industry. The destination policy of the raw materials of iron mine is highly dependent on the …
industry. The destination policy of the raw materials of iron mine is highly dependent on the …
Novel rock image classification: the proposal and implementation of HKUDES_Net
Rock classification provides vital information to geosciences and geological engineering
practices. Reaping the benefits of the advances of computer vision-based deep learning …
practices. Reaping the benefits of the advances of computer vision-based deep learning …