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.
| Published in |
American Journal of Software Engineering and Applications (Volume 5, Issue 3-1)
This article belongs to the Special Issue Advances in Computer Science and Information Technology in Developing Countries |
| DOI | 10.11648/j.ajsea.s.2016050301.12 |
| Page(s) | 5-9 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2016. Published by Science Publishing Group |
Image Mining, Image Classification, Image Clustering, Data Mining
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APA Style
Mohammad Hadi Yousofi, Mahdi Esmaeili, Majide Sadat Sharifian. (2016). A Study on Image Mining; Its Importance and Challenges. American Journal of Software Engineering and Applications, 5(3-1), 5-9. https://doi.org/10.11648/j.ajsea.s.2016050301.12
ACS Style
Mohammad Hadi Yousofi; Mahdi Esmaeili; Majide Sadat Sharifian. A Study on Image Mining; Its Importance and Challenges. Am. J. Softw. Eng. Appl. 2016, 5(3-1), 5-9. doi: 10.11648/j.ajsea.s.2016050301.12
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Download@article{10.11648/j.ajsea.s.2016050301.12,
author = {Mohammad Hadi Yousofi and Mahdi Esmaeili and Majide Sadat Sharifian},
title = {A Study on Image Mining; Its Importance and Challenges},
journal = {American Journal of Software Engineering and Applications},
volume = {5},
number = {3-1},
pages = {5-9},
doi = {10.11648/j.ajsea.s.2016050301.12},
url = {https://doi.org/10.11648/j.ajsea.s.2016050301.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajsea.s.2016050301.12},
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.},
year = {2016}
}
TY - JOUR T1 - A Study on Image Mining; Its Importance and Challenges AU - Mohammad Hadi Yousofi AU - Mahdi Esmaeili AU - Majide Sadat Sharifian Y1 - 2016/06/24 PY - 2016 N1 - https://doi.org/10.11648/j.ajsea.s.2016050301.12 DO - 10.11648/j.ajsea.s.2016050301.12 T2 - American Journal of Software Engineering and Applications JF - American Journal of Software Engineering and Applications JO - American Journal of Software Engineering and Applications SP - 5 EP - 9 PB - Science Publishing Group SN - 2327-249X UR - https://doi.org/10.11648/j.ajsea.s.2016050301.12 AB - 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. VL - 5 IS - 3-1 ER -
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