|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 40 - Issue 4 |
| Published: February 2012 |
| Authors: R. Venkata Ramana Chary, D. Rajya Lakshmi, K. V. N. Sunitha |
10.5120/5035-7186
|
R. Venkata Ramana Chary, D. Rajya Lakshmi, K. V. N. Sunitha . Image Retrieval Techniques for Color based Images from Large Set of DataBase. International Journal of Computer Applications. 40, 4 (February 2012), 33-39. DOI=10.5120/5035-7186
@article{ 10.5120/5035-7186,
author = { R. Venkata Ramana Chary,D. Rajya Lakshmi,K. V. N. Sunitha },
title = { Image Retrieval Techniques for Color based Images from Large Set of DataBase },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 40 },
number = { 4 },
pages = { 33-39 },
doi = { 10.5120/5035-7186 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A R. Venkata Ramana Chary
%A D. Rajya Lakshmi
%A K. V. N. Sunitha
%T Image Retrieval Techniques for Color based Images from Large Set of DataBase%T
%J International Journal of Computer Applications
%V 40
%N 4
%P 33-39
%R 10.5120/5035-7186
%I Foundation of Computer Science (FCS), NY, USA
In content-based image retrieval, interactive systems have attracted a lot of research interest in recent years. Comparatively early systems, which focused on fully automatic strategies, recent approaches have supporting many are concentrated. Assuming that a user is looking for a set of images with similar feature using the query concept within a huge database . Proposed system focus on the retrieval of images within a large image collection based on color projections and different geometric mathematical approaches are applied for retrieval of images . before Appling rules images are sub grouping using threshold method , in this paper R G B color combinations considered for retrieval of images and reduced comparing steps . this technique obtained fast and efficient results comparatively previous methods . the aim is to improve the efficiency to retrieve the query Concept.