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A New Approach for Enhancing Image Retrieval using Neutrosophic Sets

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 95 - Number 8
Year of Publication: 2014
Authors:
Mohamed Eisa
10.5120/16613-6453

Mohamed Eisa. Article: A New Approach for Enhancing Image Retrieval using Neutrosophic Sets. International Journal of Computer Applications 95(8):12-20, June 2014. Full text available. BibTeX

@article{key:article,
	author = {Mohamed Eisa},
	title = {Article: A New Approach for Enhancing Image Retrieval using Neutrosophic Sets},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {95},
	number = {8},
	pages = {12-20},
	month = {June},
	note = {Full text available}
}

Abstract

This paper adopts a novel model for Content-Based Image Retrieval (CBIR) system depending on an excellent segmentation strategy and combination of Visual Descriptors (VDs). The presented model is divided into four main phases: image segmentation, visual descriptors, Dimensionality Reduction (DR) and similarity matching. An improved segmentation technique based on Neutrosophic Sets (NSs) is proposed and applied to see their ability and accuracy to segment images. In relative to the VDs, the geometrical moments are used to extract the shape of an object, the modified Stricker method to the color extraction is proposed and the MPEG-7 edge histogram descriptor is presented for each of them. Experimental results presented show that the proposed model provides precise image retrieval in a short time.

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