A Survey on Image Retrieval System Based on Contents

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2015 by IJETT Journal
Volume-21 Number-8
Year of Publication : 2015
Authors : Shamira Arshad Shaikh, Roshni Padte


Shamira Arshad Shaikh, Roshni Padte"A Survey on Image Retrieval System Based on Contents", International Journal of Engineering Trends and Technology (IJETT), V21(8),409-414 March 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group


In this paper a survey on content based image retrieval presented. Content Based Image Retrieval (CBIR) is a technique which uses visual features of image such as colour, shape, texture, etc…to search user required image from large image database according to user’s requests in the form of a query image. Here comparison is based on local-descriptor, wavelets, scale-invariants feature, edge descriptor histograms (EDH), discrete cosine transform (DCT), discrete wavelet transform (DWT).


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Cited by 10 Related articles All 3 versions Cite Save [4] S. Soman, M. Ghorpade, V. Sonone and S. Chavan, “Content Based Image Retrieval using Advanced Color and Texture Features,”International Conference in Computational Intelligence (ICCIA), 2011.
[5] E.Loupias, N.Sebe, S.Bres, and J-M.Jolion, “Waveletbased salient points for image retrieval,”IEEE International Conference on Image Processing, 2000(2),pp.518-521
[6] E. Loupias and N. Sebe, “Wavelet-based Salient Points for Image Retrieval ", RR 99.11, Laboratoire Reconnaissance de Formes et Vision, INSA Lyon, November 1999. On-line http://rfv.insa-1 yon.fr/-loupias/points/
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CBIR, EDH, SIFT, DWT, DCT, image retrieval system.