Segmentation of digital rock images using deep convolutional autoencoder networks

Segmentation is a critical step in Digital Rock Physics (DRP) as the original images are available in a gray-scale format. Conventional methods often use thresholding to delineate distinct phases and, consequently, watershed algorithm to identify the existing phases. Such methods are based on color...

Full description

Bibliographic Details

Published in:	Computers & geosciences Vol. 126; pp. 142 - 150
Main Authors:	Karimpouli, Sadegh, Tahmasebi, Pejman
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.05.2019
Subjects:	algorithms Artificial intelligence color computers data collection Digital rock physics (DRP) Mineral identification neural networks sandstone Segmentation Segmentation Mineral identification Artificial intelligence Digital rock physics (DRP)
ISSN:	0098-3004
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!