Research Article
Image Re-Ranking by Analyzing GLCM and Color Features
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 109 - Issue 16 |
| Published: January 2015 |
| Authors: Praveen Mishra, G. S. Prajapati |
10.5120/19272-0905
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Praveen Mishra, G. S. Prajapati . Image Re-Ranking by Analyzing GLCM and Color Features. International Journal of Computer Applications. 109, 16 (January 2015), 24-28. DOI=10.5120/19272-0905
@article{ 10.5120/19272-0905,
author = { Praveen Mishra,G. S. Prajapati },
title = { Image Re-Ranking by Analyzing GLCM and Color Features },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 109 },
number = { 16 },
pages = { 24-28 },
doi = { 10.5120/19272-0905 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Praveen Mishra
%A G. S. Prajapati
%T Image Re-Ranking by Analyzing GLCM and Color Features%T
%J International Journal of Computer Applications
%V 109
%N 16
%P 24-28
%R 10.5120/19272-0905
%I Foundation of Computer Science (FCS), NY, USA
Abstract
With the growth of internet visual data like images are increase with every minute. Now this increase of data has attract many researchers for searching the relevant images from the collection. In this paper focus is on the re-ranking of images by utilizing the visual features. So given a visual query in form of an image is done and base on that relevant image retrieval, are done with their proper ranking. Here searching is done on the basis of the visual feature values obtain from the query image on the dataset each image similar visual feature values those images whose similarity is same is consider as relevant and the most similar images is ranked first then next as second, other are done in similar fashion. Results shows that combination of feature give more effective results as compare to single one.
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