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