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
         
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Communications and Electronics (ICCE), 2010 Third International Conference on
         
        
            Conference_Location : 
Nha Trang
         
        
            Print_ISBN : 
978-1-4244-7055-6
         
        
        
            DOI : 
10.1109/ICCE.2010.5670704