Efficient image segmentation based on deep learning for mineral image classification
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Efficient image segmentation based on deep learning for mineral image classification
Authors
Keywords
Deep learning, Convolutional neural networks, Mineral image segmentation
Journal
ADVANCED POWDER TECHNOLOGY
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2021-09-14
DOI
10.1016/j.apt.2021.08.038
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An improved framework for polyp image segmentation based on SegNet architecture
- (2021) Heba M. Afify et al. INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
- Echocardiographic Image Multi‐Structure Segmentation using Cardiac‐SegNet
- (2021) Yang Lei et al. MEDICAL PHYSICS
- Ore image classification based on small deep learning model: Evaluation and optimization of model depth, model structure and data size
- (2021) Yang Liu et al. MINERALS ENGINEERING
- DENSE-INception U-net for medical image segmentation
- (2020) Ziang Zhang et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Automatic Semantic Segmentation with DeepLab Dilated Learning Network for Change Detection in Remote Sensing Images
- (2020) N. Venugopal NEURAL PROCESSING LETTERS
- Segmentation of pulmonary nodules in CT images based on 3D‐UNET combined with three‐dimensional conditional random field optimization
- (2020) Wenhao Wu et al. MEDICAL PHYSICS
- Semantic Segmentation of Underwater Images Based on Improved Deeplab
- (2020) Fangfang Liu et al. Journal of Marine Science and Engineering
- An Ore Image Segmentation Method Based on RDU-Net Model
- (2020) Dong Xiao et al. SENSORS
- A New Belt Ore Image Segmentation Method Based on the Convolutional Neural Network and the Image-Processing Technology
- (2020) Xiqi Ma et al. Minerals
- Detection and segmentation of iron ore green pellets in images using lightweight U-net deep learning network
- (2019) Jiaxu Duan et al. NEURAL COMPUTING & APPLICATIONS
- Segmentation of digital rock images using deep convolutional autoencoder networks
- (2019) Sadegh Karimpouli et al. COMPUTERS & GEOSCIENCES
- Intelligent Identification for Rock-Mineral Microscopic Images Using Ensemble Machine Learning Algorithms
- (2019) Ye Zhang et al. SENSORS
- An Enhanced Rock Mineral Recognition Method Integrating a Deep Learning Model and Clustering Algorithm
- (2019) Chengzhao Liu et al. Minerals
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- (2018) Liang-Chieh Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Research of animals image semantic segmentation based on deep learning
- (2018) Shouqiang Liu et al. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
- Development of a machine vision system using the support vector machine regression (SVR) algorithm for the online prediction of iron ore grades
- (2018) Ashok Kumar Patel et al. Earth Science Informatics
- Machine vision based monitoring and analysis of a coal column flotation circuit
- (2018) M. Massinaei et al. POWDER TECHNOLOGY
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- (2017) Vijay Badrinarayanan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Fully Convolutional Networks for Semantic Segmentation
- (2017) Evan Shelhamer et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Classification of rock lithology by laser range 3D and color images
- (2017) Francisco J. Galdames et al. INTERNATIONAL JOURNAL OF MINERAL PROCESSING
- Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method
- (2017) Xiangrong Zhou et al. MEDICAL PHYSICS
- Improving pore type identification from thin section images using an integrated fuzzy fusion of multiple classifiers
- (2016) Amir Mollajan et al. Journal of Natural Gas Science and Engineering
- Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool
- (2015) Abdel Aziz Taha et al. BMC MEDICAL IMAGING
- Multi-scale image segmentation of coal piles on a belt based on the Hessian matrix
- (2013) Zelin Zhang et al. Particuology
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started