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SURVEY ON CONTENT BASED IMAGE RETRIEVAL

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Author(s): S.R.Surya | G.Sasikala

Journal: Indian Journal of Computer Science and Engineering
ISSN 0976-5166

Volume: 2;
Issue: 5;
Start page: 691;
Date: 2011;
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Keywords: Feature Vector | BPN Networks | K-Means and C-Means Clustering Algorithm | Color Collelogram | JPEG Compression Domain.

ABSTRACT
The digital image data is rapidly expanding in quantity and heterogeneity. The traditional information retrieval techniques does not meet the user’s demand, so there is need to develop an efficient system for content based image retrieval. The content based image retrieval are becoming a source of exact and fast retrieval. In thispaper the techniques of content based image retrieval are discussed, analysed and compared. Here, to compared features as color correlogram, texture, shape, edge density, JPEG compression domain and clustering algorithm such as K-Means, C-Means for effective retrieval of an image.
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