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An Enhanced Image Retrieval using Contribution-based Clustering Algorithm with Spatial Feature of Texture Primitive and Edge Detection

by S.R.Surya, G.Sasikala
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 33 - Number 2
Year of Publication: 2011
Authors: S.R.Surya, G.Sasikala
10.5120/3992-5647

S.R.Surya, G.Sasikala . An Enhanced Image Retrieval using Contribution-based Clustering Algorithm with Spatial Feature of Texture Primitive and Edge Detection. International Journal of Computer Applications. 33, 2 ( November 2011), 12-16. DOI=10.5120/3992-5647

@article{ 10.5120/3992-5647,
author = { S.R.Surya, G.Sasikala },
title = { An Enhanced Image Retrieval using Contribution-based Clustering Algorithm with Spatial Feature of Texture Primitive and Edge Detection },
journal = { International Journal of Computer Applications },
issue_date = { November 2011 },
volume = { 33 },
number = { 2 },
month = { November },
year = { 2011 },
issn = { 0975-8887 },
pages = { 12-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume33/number2/3992-5647/ },
doi = { 10.5120/3992-5647 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:19:06.838252+05:30
%A S.R.Surya
%A G.Sasikala
%T An Enhanced Image Retrieval using Contribution-based Clustering Algorithm with Spatial Feature of Texture Primitive and Edge Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 33
%N 2
%P 12-16
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An image retrieval based on content has been a very effective research area, with various techniques developed by various researchers. Developing those techniques needs proficiency in various areas of information technology: databases and indexing structures, system design and integration, graphical user interfaces (GUI), signal processing and analysis, man-machine interaction, user psychology, etc. This paper focuses on using Spatial Feature of Texture primitive and edge detection by using contribution based clustering algorithm and its efficiency is measured by comparing it with color feature. Experimental results show that the proposed method has increased the cost of precision of image retrieval.

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Index Terms

Computer Science
Information Sciences

Keywords

Texture primitive Edge detection Contribution based clustering algorithm

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