DocumentCode :
1695464
Title :
A new descriptor for image retrieval using Contourlet Co-Occurrence
Author :
Nguyen-Duc, Hoang ; Do-Hong, Tuan ; Le-Tien, Thuong ; Bui-Thu, Cao
Author_Institution :
R&D Dept., Broadcast Res. & Applic. Center, Ho Chi Minh City, Vietnam
fYear :
2010
Firstpage :
169
Lastpage :
174
Abstract :
In this paper, a new descriptor for the feature extraction of images in the image database is presented. The new descriptor called the Contourlet Co-Occurrence is based on the combination of the contourlet transform and the Grey Level Co-occurrence Matrix (GLCM). In order to evaluate the proposed descriptor, we perform the comparative analysis of existing methods such as Contourlet, GLCM descriptors with the Contourlet Co-Occurrence descriptor for image retrieval. Experimental results demonstrate that the proposed method shows a slightly improvement in the retrieval effectiveness.
Keywords :
content-based retrieval; feature extraction; image retrieval; matrix algebra; visual databases; GLCM; contourlet cooccurrence; feature extraction; grey level cooccurrence matrix; image database; image retrieval; new descriptor; CBIR; Contourlet; Contourlet Co-occurrence; content-based image retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Electronics (ICCE), 2010 Third International Conference on
Conference_Location :
Nha Trang
Print_ISBN :
978-1-4244-7055-6
Type :
conf
DOI :
10.1109/ICCE.2010.5670704
Filename :
5670704
Link To Document :
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