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

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International Journal of Computer Applications
© 2011 by IJCA Journal
Volume 33 - Number 2
Year of Publication: 2011
Authors:
S.R.Surya
G.Sasikala
10.5120/3992-5647

S.R.Surya and G.Sasikala. Article: 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):12-16, November 2011. Full text available. BibTeX

@article{key:article,
	author = {S.R.Surya and G.Sasikala},
	title = {Article: An Enhanced Image Retrieval using Contribution-based Clustering Algorithm with Spatial Feature of Texture Primitive and Edge Detection},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {33},
	number = {2},
	pages = {12-16},
	month = {November},
	note = {Full text available}
}

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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