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.
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
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.