We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

A Survey On: ìContent Based Image Retrieval Systemsî

by Shishir K. Shandilya, Nidhi Singhai
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 4 - Number 2
Year of Publication: 2010
Authors: Shishir K. Shandilya, Nidhi Singhai
10.5120/802-1139

Shishir K. Shandilya, Nidhi Singhai . A Survey On: ìContent Based Image Retrieval Systemsî. International Journal of Computer Applications. 4, 2 ( July 2010), 22-26. DOI=10.5120/802-1139

@article{ 10.5120/802-1139,
author = { Shishir K. Shandilya, Nidhi Singhai },
title = { A Survey On: ìContent Based Image Retrieval Systemsî },
journal = { International Journal of Computer Applications },
issue_date = { July 2010 },
volume = { 4 },
number = { 2 },
month = { July },
year = { 2010 },
issn = { 0975-8887 },
pages = { 22-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume4/number2/802-1139/ },
doi = { 10.5120/802-1139 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:52:01.708967+05:30
%A Shishir K. Shandilya
%A Nidhi Singhai
%T A Survey On: ìContent Based Image Retrieval Systemsî
%J International Journal of Computer Applications
%@ 0975-8887
%V 4
%N 2
%P 22-26
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As the network and development of multimedia technologies are becoming more popular, users are not satisfied with the traditional information retrieval techniques. so nowadays the content based image retrieval are becoming a source of exact and fast retrieval. In this paper the techniques of content based image retrieval are discussed, analysed and compared. It also introduced the feature like neuro fuzzy technique, color histogram, texture and edge density for accurate and effective Content Based Image Retrieval System.

References
Index Terms

Computer Science
Information Sciences

Keywords

Content Based Image Retrieval Neuro Fuzzy Color Histogram Texture Edge Density