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An Efficient Image Retrieval Technique using Shape Context Feature

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 98 - Number 1
Year of Publication: 2014
Neha Bhuptani
Bijal Talati

Neha Bhuptani and Bijal Talati. Article: An Efficient Image Retrieval Technique using Shape Context Feature. International Journal of Computer Applications 98(1):6-11, July 2014. Full text available. BibTeX

	author = {Neha Bhuptani and Bijal Talati},
	title = {Article: An Efficient Image Retrieval Technique using Shape Context Feature},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {98},
	number = {1},
	pages = {6-11},
	month = {July},
	note = {Full text available}


Increasing demands for image retrieval in field such as health informatics, biometrics, and crime prevention has forced developers to explore ways to manage and retrieve images more efficiently. An automated way to retrieve images based on the content or features of the images itself is provided by CBIR. Shape is one of key visual features used by human for distinguishing visual data along with other features of color and texture. Therefore, this work investigates one of the shape representation method shape context which helps in efficient CBIR. The main aim of this research is to look for and develop promising shape descriptor(s) which was found to be Shape Context for image retrieval and also to improve efficiency. The Shape context descriptor is contour based which focuses on irregular shapes. The time consuming step of shape context matching is reduced in this work up to approx. 48% on an average. The proposed work reduces the computational complexity maintaining its overall accuracy.


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