Publication Type:

Conference Paper

Source:

International Conference on Signal Processing, Image Processing and Pattern Recognition 2013, ICSIPR 2013, Volume 1, Coimbatore (2013)

ISBN:

9781467348614

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84876765732&partnerID=40&md5=cc41f556f198658338ba8558c3a5f05a

Keywords:

CBIR, Descriptors, Detectors, GLCM, histogram, Image processing, Image retrieval, Image search, interest points, Pattern recognition, Query processing, Region of interest, Search engines, SURF

Abstract:

A search engine is expected to extract results with the high end accuracy.The basic motto behind the image search engines are no different. It should retrieve the best possible match from the database for the query made. But, the accessible search engines are based on the keywords only. In order to overcome the inefficiencies in this approach, we are proposing a search based on CBIR (content based image retrieval). This paper discusses, in depth, about the methodologies to construct an efficient CBIR and also presents a novel approach which performs with increased efficiency in many aspects. We have used OpenCV, an image processing toolbox for implementing and testing our concepts. © 2013 IEEE.

Notes:

cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@22b0a20b ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@7a5e91f7 Through org.apache.xalan.xsltc.dom.DOMAdapter@56c12de4; Conference Code:96731

Cite this Research Publication

Dr. Shriram K Vasudevan, Priyadarsini, P. L. Kb, Gokul, Mc, Subashri, Vd, and Sivaraman, Re, “A novel approach using T.H.E.S methodology for CBIR”, in International Conference on Signal Processing, Image Processing and Pattern Recognition 2013, ICSIPR 2013, Coimbatore, 2013, vol. 1.

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