A Study on Image Mining; Its Importance and Challenges
American Journal of Software Engineering and Applications
Volume 5, Issue 3-1, May 2016, Pages: 5-9
Received: Jan. 6, 2016; Accepted: Jan. 7, 2016; Published: Jun. 24, 2016
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Authors
Mohammad Hadi Yousofi, Young Researchers and Elite Club, Kashan Branch, Islamic Azad University, Kashan, Iran
Mahdi Esmaeili, Department of Computer, Kashan Branch, Islamic Azad University, Kashan, Iran
Majide Sadat Sharifian, Department of Mechatronic, Kashan Branch, Islamic Azad University, Kashan, Iran
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Abstract
Image mining is an interdisciplinary field that is based on specialties such as machine vision, image processing, image retrieval, data mining, machine learning, databases and artificial intelligence. Although many studies have been conducted in each of these areas, research on image mining and emerging issues is in its infancy. For instance, data mining techniques can not automatically extract useful information from the large amount of data set like images. In this paper, by presenting the unique features of image mining, we discussed about the general procedure of the analysis and the main techniques of image analysis. Finally we explored different image mining systems, and knowledge extraction from images to achieve progress and development in this area.
Keywords
Image Mining, Image Classification, Image Clustering, Data Mining
To cite this article
Mohammad Hadi Yousofi, Mahdi Esmaeili, Majide Sadat Sharifian, A Study on Image Mining; Its Importance and Challenges, American Journal of Software Engineering and Applications. Special Issue: Advances in Computer Science and Information Technology in Developing Countries. Vol. 5, No. 3-1, 2016, pp. 5-9. doi: 10.11648/j.ajsea.s.2016050301.12
Copyright
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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