DocumentCode :
2042158
Title :
Comparison of different CBIR techniques
Author :
Madugunki, Meenakshi ; Bormane, D.S. ; Bhadoria, Sonali ; Dethe, C.G.
Author_Institution :
ICEM, Pune, India
Volume :
4
fYear :
2011
fDate :
8-10 April 2011
Firstpage :
372
Lastpage :
375
Abstract :
Image retrieval is a poor stepchild to other forms of information retrieval (IR). Image retrieval has been one of the most interesting and vivid research areas in the field of computer vision over the last decades. Content-Based Image Retrieval (CBIR) systems are used in order to automatically index, search, retrieve, and browse image databases. Color and texture features are important properties in content-based image retrieval systems. In this paper we have mentioned detailed classification of CBIR system. Also we have discussed about the efficiency of different techniques used in CBIR. We have compared different techniques as well as the combinations of them to improve the performance. We have also compared the effect of different matching techniques on the retrieval process.
Keywords :
computer vision; content-based retrieval; feature extraction; image colour analysis; image retrieval; image texture; indexing; visual databases; CBIR techniques; computer vision; content based image retrieval; image color; image databases; image searching; image texture feature; indexing; information retrieval; Discrete wavelet transforms; Feature extraction; Histograms; Image color analysis; Image retrieval; Indexing; CBIR; Feature Extraction; Image Retrieval; Similarity Measurements; TBIR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics Computer Technology (ICECT), 2011 3rd International Conference on
Conference_Location :
Kanyakumari
Print_ISBN :
978-1-4244-8678-6
Electronic_ISBN :
978-1-4244-8679-3
Type :
conf
DOI :
10.1109/ICECTECH.2011.5941923
Filename :
5941923
Link To Document :
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