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Design of an Architecture for Optimizing Image Retrieval by using Genetic Algorithm

by S.selvam, S.thabasukannan
Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 2
Year of Publication: 2015
Authors: S.selvam, S.thabasukannan

S.selvam, S.thabasukannan . Design of an Architecture for Optimizing Image Retrieval by using Genetic Algorithm. Communications on Applied Electronics. 1, 2 ( January 2015), 1-5. DOI=10.5120/cae-1501

@article{ 10.5120/cae-1501,
author = { S.selvam, S.thabasukannan },
title = { Design of an Architecture for Optimizing Image Retrieval by using Genetic Algorithm },
journal = { Communications on Applied Electronics },
issue_date = { January 2015 },
volume = { 1 },
number = { 2 },
month = { January },
year = { 2015 },
issn = { 2394-4714 },
pages = { 1-5 },
numpages = {9},
url = { },
doi = { 10.5120/cae-1501 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2023-09-04T18:37:56.496184+05:30
%A S.selvam
%A S.thabasukannan
%T Design of an Architecture for Optimizing Image Retrieval by using Genetic Algorithm
%J Communications on Applied Electronics
%@ 2394-4714
%V 1
%N 2
%P 1-5
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

Image retrieval plays a vital role in image processing. The main aim of this paper is to build more generalized CBIR system which is increased the searching ability and to improve the retrieval accuracy. The proposed method is experimental and analyzed with large database. The result show that the architecture of new CBIR system shown good performance in speed and reducing the computational time.

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Index Terms

Computer Science
Information Sciences


CBIR Genetic Algorithm HARP Algorithm Precision Recall