Enhancing identification of digital rock images using super-resolution deep neural network

B Yuan, H Li, Q Du - Geoenergy Science and Engineering, 2023 - Elsevier
Identification of pore and minerals from digital rock images plays an important role in
characterization of oil and gas reservoirs. Traditional methods usually require high costs of …

基于深度学习的岩石薄片矿物自动识别方法.

徐圣嘉, 苏程, 朱孔阳, 章孝灿 - Journal of Zhejiang …, 2022 - search.ebscohost.com
岩石薄片矿物识别是岩石学研究工作的基础, 亦是进一步认识岩石种类, 成因机理,
物质运移和演化历史的基础. 传统的矿物识别主要依靠光学显微镜进行人工鉴定 …

Automatic mineral identification using color tracking

S Aligholi, GR Lashkaripour, R Khajavi, M Razmara - Pattern Recognition, 2017 - Elsevier
Optical properties of crystals are one of the most powerful features for mineral identification.
In this study, a novel automated color-based mineral identification (MI) procedure is …

Automated mineral identification algorithm using optical properties of crystals

S Aligholi, R Khajavi, M Razmara - Computers & geosciences, 2015 - Elsevier
A method has been developed to automatically characterize the type of mineral phases by
means of digital image analysis using optical properties of crystals. The method relies on …

Statistical methods for segmentation and quantification of minerals in ore microscopy

C Köse, İ Alp, C İkibaş - Minerals Engineering, 2012 - Elsevier
Modern electronic image-processing techniques have enabled mineral processing
engineers to automate the determination of minerals in ore samples. The automatic …

Common mineral intelligent recognition based on improved InceptionV3

W PENG, L BAI, S SHANG, X TANG… - Geological Bulletin of …, 2019 - dzhtb.cgs.cn
To study 16 kinds of common minerals, the authors collected 1000 images for each type,
and then divided them into training set, validation set and test set. Before putting the images …

Assessment of chromite liberation spectrum on microscopic images by means of a supervised image classification

M Camalan, M Çavur, Ç Hoşten - Powder Technology, 2017 - Elsevier
Assessment of mineral liberation spectrum with all its aspects is essential for plant control
and optimization. This paper aims to estimate 2D mineral map and its associated liberation …

Efficient CIEDE2000-based color similarity decision for computer vision

A Pereira, P Carvalho, G Coelho… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Color and color differences are critical aspects in many image processing and computer
vision applications. A paradigmatic example is object segmentation, where color distances …

基于改进InceptionV3 模型的常见矿物智能识别

彭伟航, 白林, 商世为, 唐小洁, 张哲远 - 地质通报, 2019 - dzhtb.cgs.cn
以常见的16 类矿物作为研究对象, 收集每一类矿物约1000 张图像, 按比例划分为训练集,
验证集和测试集, 通过图像随机选取增加数据的多样性, 建立矿物识别InceptionV3 模型, 训练7 …

[PDF][PDF] Classification of intrusive igneous rocks using digital image processing: a binary approach

A Albar, MH Osman, MS Abdullah, BN Ismail - Journal of Engineering …, 2013 - usm.my
One of the methods used to classify intrusive igneous rocks is by observing the intensity of
light-and dark-coloured mineral. However, this method is normally based on perception, ie …