|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 132 - Issue 13 |
| Published: December 2015 |
| Authors: Tanvi Patel, Mayank Kapadia, Jemish Maisuria |
10.5120/ijca2015907584
|
Tanvi Patel, Mayank Kapadia, Jemish Maisuria . A Review on Content based Image Retrieval. International Journal of Computer Applications. 132, 13 (December 2015), 22-25. DOI=10.5120/ijca2015907584
@article{ 10.5120/ijca2015907584,
author = { Tanvi Patel,Mayank Kapadia,Jemish Maisuria },
title = { A Review on Content based Image Retrieval },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 132 },
number = { 13 },
pages = { 22-25 },
doi = { 10.5120/ijca2015907584 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Tanvi Patel
%A Mayank Kapadia
%A Jemish Maisuria
%T A Review on Content based Image Retrieval%T
%J International Journal of Computer Applications
%V 132
%N 13
%P 22-25
%R 10.5120/ijca2015907584
%I Foundation of Computer Science (FCS), NY, USA
Literature survey is an important for understanding and gaining much more knowledge about the specific area of a subject. An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. Content-based image retrieval (CBIR) is an image search technique that complements the traditional text-based retrieval of images by using visual features, such as color, texture, and shape. This system retrieve according to the query image; that is, the user provides or selects a query image and chooses a distance measure that will be used to compare the query image to the images stored in the database. This paper is attempt to explore different CBIR technique and their application.