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DOI: 10.14569/IJACSA.2018.091041
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A Study of Retrieval Methods of Multi-Dimensional Images in Different Domains

Author 1: Shruti Garg

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 10, 2018.

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Abstract: Multiple amount of multi-dimensional images are designed and most of them are available on internet at free of cost. The 3D images include three characteristics namely width, height, and depth. The images which are created as 3D can describe the geometry in terms of 3D co-ordinates. These co-ordinates help to obtain the object from the image much easier and accurate. In this paper, we presented a review about the Multi-dimensional image retrieval. Multi-dimensional image retrieval is a process of extracting the relevant 2D or 3D images from the huge database. To perform image retrieval process on large database, several methods like text based, Content based, Annotation based, semantic based, and sketch based were used. The image retrieval techniques are mostly used in the fields like Digital library, medical, forensic science, and so on. A systematic literature review has been shown for image retrieval methods reported on 2010 to 2017. The aim of this article is to show the various concept and efforts of different authors on image retrieval technique.

Keywords: Image retrieval techniques; 3D image retrieval; image retrieval survey

Shruti Garg, “A Study of Retrieval Methods of Multi-Dimensional Images in Different Domains” International Journal of Advanced Computer Science and Applications(IJACSA), 9(10), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091041

@article{Garg2018,
title = {A Study of Retrieval Methods of Multi-Dimensional Images in Different Domains},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091041},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091041},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {10},
author = {Shruti Garg}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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