Research Article
Content based Image Retrieval using Color and Texture
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 141 - Issue 7 |
| Published: May 2016 |
| Authors: Tasneem Mirza, Rishabh Indoria, Geet Dalwani, Krish Jain |
10.5120/ijca2016909633
|
Tasneem Mirza, Rishabh Indoria, Geet Dalwani, Krish Jain . Content based Image Retrieval using Color and Texture. International Journal of Computer Applications. 141, 7 (May 2016), 5-8. DOI=10.5120/ijca2016909633
@article{ 10.5120/ijca2016909633,
author = { Tasneem Mirza,Rishabh Indoria,Geet Dalwani,Krish Jain },
title = { Content based Image Retrieval using Color and Texture },
journal = { International Journal of Computer Applications },
year = { 2016 },
volume = { 141 },
number = { 7 },
pages = { 5-8 },
doi = { 10.5120/ijca2016909633 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Tasneem Mirza
%A Rishabh Indoria
%A Geet Dalwani
%A Krish Jain
%T Content based Image Retrieval using Color and Texture%T
%J International Journal of Computer Applications
%V 141
%N 7
%P 5-8
%R 10.5120/ijca2016909633
%I Foundation of Computer Science (FCS), NY, USA
Abstract
A Content Based Image Retrieval System is a computer system for browsing, searching and retrieving images from a large database of digital images .Most common methods of image retrieval utilize some method of adding meta data such as captioning, keywords or description to the images so that retrieval can be performed over the annotation words. Content Based Image Retrieval (CBIR) deals with retrieval of images based on visual features such as color, texture and shape. This paper presents retrieval of images based on color and texture using various proposed algorithms.
References
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