Developing a computer vision method based on AHP and feature ranking for ores type detection

Ebrahimi, Morteza, Abdolshah, Majid and Abdolshah, Saeed 2016, Developing a computer vision method based on AHP and feature ranking for ores type detection, Applied soft computing, vol. 49, pp. 179-188, doi: 10.1016/j.asoc.2016.08.027.

Attached Files
Name Description MIMEType Size Downloads

Title Developing a computer vision method based on AHP and feature ranking for ores type detection
Author(s) Ebrahimi, Morteza
Abdolshah, Majid
Abdolshah, Saeed
Journal name Applied soft computing
Volume number 49
Start page 179
End page 188
Total pages 10
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2016
ISSN 1568-4946
Keyword(s) Multi criteria decision making
Analytic hierarchy process
Image processing
Artificial neural networks
Language eng
DOI 10.1016/j.asoc.2016.08.027
Field of Research 0102 Applied Mathematics
0801 Artificial Intelligence and Image Processing
0806 Information Systems
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2016, Elsevier B.V.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30121397

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 1 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 45 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Wed, 08 May 2019, 09:03:15 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.