A Survey on Image Retrieval System Based on Contents

Shamira Arshad Shaikh; Roshni Padte

doi:https://doi.org/10.14445/22315381/IJETT-V21P279

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Volume 21 | Number 2 | Year 2015 | Article Id. IJETT-V21P279 | DOI : https://doi.org/10.14445/22315381/IJETT-V21P279

A Survey on Image Retrieval System Based on Contents

Shamira Arshad Shaikh, Roshni Padte

Citation :

Shamira Arshad Shaikh, Roshni Padte, "A Survey on Image Retrieval System Based on Contents," International Journal of Engineering Trends and Technology (IJETT), vol. 21, no. 2, pp. 409-414, 2015. Crossref, https://doi.org/10.14445/22315381/IJETT-V21P279

Abstract

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).

Keywords

CBIR, EDH, SIFT, DWT, DCT, image retrieval system.

References

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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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