Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6923405 | Computers & Geosciences | 2012 | 10 Pages |
Abstract
⺠Thin section images are studied to identify 5 types of pore spaces automatically. ⺠A pattern recognition algorithm is followed to identify pore spaces. ⺠Image analysis and discriminant classifier are integrated to develop the model. ⺠The proposed model is a promising approach to study pore types in an accurate way.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Javad Ghiasi-Freez, Iman Soleimanpour, Ali Kadkhodaie-Ilkhchi, Mansur Ziaii, Mahdi Sedighi, Amir Hatampour,