A Survey on Image Retrieval System Based on Contents
Citation
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
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).
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/
[7] C. Wolf, "Content based Image retrieval using Interest Points and Texture Features ", RR 99.09, Laboratoire Reconnaissance de Formes et Vision, INSA Lyon, 1999
[8] Content Based Image Retrieval using Discrete Wavelet Transform and Edge Histogram DescriptorAgarwal, S. ; Phys. & Comput. Sci. Dept., Dayalbagh Educ. Inst., Agra, India ; Verma, A.K. ; Singh, P. Print ISBN:978-1-4673- 5987-0
Keywords
CBIR, EDH, SIFT, DWT, DCT, image retrieval system.