DocumentCode :
2027436
Title :
Features composition for proficient and real time retrieval in content based image retrieval system
Author :
Sedghi, Tohid ; Fakheri, Majid ; Amirani, Mehdi C.
Author_Institution :
Dept. of Electr. Eng., Urmia Univ., Urmia, Iran
fYear :
2010
fDate :
27-28 Oct. 2010
Firstpage :
1
Lastpage :
3
Abstract :
Content-Based Image Retrieval (CBIR) systems employ colour as primary feature with texture and shape as secondary features. Very few systems exploit spatial features. None of the available systems combines all three visual features, texture, shape and location, for organization and retrieval. In this paper a simple, image retrieval system is presented. The proposed system uses weighted combination of integrated texture features, shape features of texture regions.
Keywords :
content-based retrieval; image colour analysis; image retrieval; image texture; colour feature; content based image retrieval system; features composition; real time retrieval; shape features; texture features; Feature extraction; Filter banks; Gabor filters; Image retrieval; Manganese; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Vision and Image Processing (MVIP), 2010 6th Iranian
Conference_Location :
Isfahan
Print_ISBN :
978-1-4244-9706-5
Type :
conf
DOI :
10.1109/IranianMVIP.2010.5941141
Filename :
5941141
Link To Document :
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