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Reseach Article

Image Retrieval using Classification based on Color

by Harsh Kumar Sarohi, Farhat Ullah Khan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 64 - Number 11
Year of Publication: 2013
Authors: Harsh Kumar Sarohi, Farhat Ullah Khan
10.5120/10678-5557

Harsh Kumar Sarohi, Farhat Ullah Khan . Image Retrieval using Classification based on Color. International Journal of Computer Applications. 64, 11 ( February 2013), 18-20. DOI=10.5120/10678-5557

@article{ 10.5120/10678-5557,
author = { Harsh Kumar Sarohi, Farhat Ullah Khan },
title = { Image Retrieval using Classification based on Color },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 64 },
number = { 11 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 18-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume64/number11/10678-5557/ },
doi = { 10.5120/10678-5557 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:16:08.356944+05:30
%A Harsh Kumar Sarohi
%A Farhat Ullah Khan
%T Image Retrieval using Classification based on Color
%J International Journal of Computer Applications
%@ 0975-8887
%V 64
%N 11
%P 18-20
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes a new color classification based approach for Image Retrieval. Information in form of images is increasing at a very fast rate therefore there is need for faster and effective retrieval of specific image from image repositories. Content Based Image Retrieval (CBIR) is considered most efficient to search large image collections. The proposed method uses two color spaces to form two feature vectors and then uses Euclidean distance to categorize images on the basis of color and which limits the search to specific category. This results in speedy retrieval. For reducing computational time only sum of RGB component is used for retrieving the specified image.

References
  1. T. Sumathi, C. Lakshmi Devasena, M. Hemlata, "An Overview of Automated Image Annotation Approaches", International Journal of Research and Reviews in Information Sciences, Vol. 1, March 2011.
  2. A. Vadivel, A. K. Majumdar, S. Sural, "Characteristics of Weighted Feature Vector In Content-Based Image Retrieval Applications", Proceedings of Intelligent Sensing and Information Processing, 2004, ICISIP, 2004.
  3. M. Swain, D. Ballard, "Color indexing", International Journal of Computer Vision, 1991.
  4. C. H. Lin, R. T. Chen and Y. K. Chan, "A smart content-based image retrieval system based on color and texture feature", International Journal of Computer Vision, 1991.
  5. P. S. Hiremath, J. Pujari, "Content Based Image Retrieval based on Color, Texture, Shape features using Image and its complement", 15th International Conference on Advance Computing and Communications. IEEE, 2007.
  6. M. B. Rao, B. P Rao, A. Govardhan, "CTDCIRS: Content based Image Retrieval System based on Dominant Color and Texture Features", International Journal of Computer Applications, Vol. 18, No. 6, pp-0975-8887, 2011.
  7. P. B. Thawari, N. J. Janwe, "CBIR Based On Color And Texture", International Journal of Information Technology and Knowledge Management, Vol. 4, No. 1, pp. 129-132, 2011.
  8. Manimala Singha, K. Hemchandran, "Performance analysis of Color Spaces Image Retrieval", Assam University Journal of Science & Technology: Physical Sciences and Technology, Vol. 4, 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Content Based Image Retrieval (CBIR) Query By Image Content (QBIC) Image Retrieval Using Color Classification Categorizing Using Euclidean Distance