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 |
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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.