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Efficient Image Retrieval using Region based Image Retrieval

Ramesh K Kulkarni, Niket Amoda Published in Image Processing

IJAIS Proceedings on International Conference and workshop on Advanced Computing 2013
Year of Publication: 2013
© 2012 by IJAIS Journal
10.5120/icwac1317
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  1. Ramesh K Kulkarni and Niket Amoda. Article: Efficient Image Retrieval using Region based Image Retrieval. IJAIS Proceedings on International Conference and workshop on Advanced Computing 2013 ICWAC(2):12-17, June 2013. BibTeX

    @article{key:article,
    	author = "Ramesh K Kulkarni and Niket Amoda",
    	title = "Article: Efficient Image Retrieval using Region based Image Retrieval",
    	journal = "IJAIS Proceedings on International Conference and workshop on Advanced Computing 2013",
    	year = 2013,
    	volume = "ICWAC",
    	number = 2,
    	pages = "12-17",
    	month = "June",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Early image retrieval techniques were based on textual annotation of images. Annotating images manually is a cumbersome and expensive task for large image databases, and is often subjective, context-sensitive and incomplete. Content based image retrieval, uses the visual contents of an image such as color, shape, texture, and spatial layout to represent and index the image. The Region Based Image Retrieval (RBIR) system uses the Discrete Wavelet Transform (DWT) and a k-means clustering algorithm to segment an image into regions. Each region is represented by means of a set of features and the similarity between regions is measured using a specific metric function on such features.

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Keywords

Content based image retrieval, K-Means Algorithm,Discrete Wavelet Transform, Region Based Image Retrieval