DocumentCode :
1943397
Title :
A novel approach using T.H.E.S methodology for CBIR
Author :
Shriram, K.V. ; Priyadarsini, P.L.K. ; Gokul, M. ; Subashri, V. ; Sivaraman, R.
Author_Institution :
PRIST Univ., Thanjavur, India
fYear :
2013
fDate :
7-8 Feb. 2013
Firstpage :
10
Lastpage :
13
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.
Keywords :
content-based retrieval; image retrieval; search engines; CBIR; OpenCV; T.H.E.S methodology; content based image retrieval; image processing toolbox; image search engines; Entropy; Histograms; Image color analysis; CBIR; GLCM; Image search; Region of interest; SURF; descriptor; detector; histogram; interest points;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Image Processing & Pattern Recognition (ICSIPR), 2013 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4673-4861-4
Type :
conf
DOI :
10.1109/ICSIPR.2013.6497781
Filename :
6497781
Link To Document :
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