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Abstract
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Article Information:
Query by Sketch-an Intensified Advancement in Image Fetching Using Abbreviated Images (Sketches)
I. Rachel Rupala, R.D. Sathya and V.V aithiyanathan
Corresponding Author: I. Rachel Rupala
Submitted: March 18, 2012
Accepted: April 23, 2012
Published: December 15, 2012 |
Abstract:
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In computer vision techniques and applications, CBIR (Content Based Image Retrieval) is used for
image retrieval. In this study we present a method SBIR (Sketch Based Image Retrieval) implemented using
sketch as query for retrieving general images and facial images, used in dialectic image finding. This method
is based on content based image retrieval. Edge histogram descriptor, Histogram of oriented Gradients, SIFT,
Surf are used for indexing the images. These descriptors are such that they can index both input and output
images. Binary outlines are given as input and a set of similar shaped images are retrieved. After indexing the
comparison between the input and output images is done by distance based search. The most similar images
are retrieved and displayed according to their similarity. For better results reranking can also be done. Thus the
system can filter database images using these descriptors and provide refined results.
Key words: CBIR, content, gradients, histogram, retrieval, sketch,
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Cite this Reference:
I. Rachel Rupala, R.D. Sathya and V.V aithiyanathan, . Query by Sketch-an Intensified Advancement in Image Fetching Using Abbreviated Images (Sketches). Research Journal of Applied Sciences, Engineering and Technology, (24): 5339-5343.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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