Open AccessA NEW DESCRIPTOR FOR IMAGE RETRIEVAL USING CONTOURLET COOCCURRENCE
Author(s) -
Hoàng Văn Nguyễn,
Tuong Le,
Tuan Hong,
Cao Thu Bui
Publication year - 2012
Publication title -
khoa học công nghệ
Language(s) - English
Resource type - Journals
ISSN - 1859-0128
DOI - 10.32508/stdj.v15i2.1785
Subject(s) - contourlet , artificial intelligence , pattern recognition (psychology) , computer science , image (mathematics) , image retrieval , grey level , computer vision , feature extraction , feature (linguistics) , wavelet transform , wavelet , linguistics , philosophy
In this paper, a new descriptor for the feature extraction of images in the image database is presented. The new descriptor called Contourlet Co-Occurrence is based on a combination of contourlet transform and Grey Level Co-occurrence Matrix (GLCM). In order to evaluate the proposed descriptor, we perform the comparative analysis of existing methods such as Contourlet [2], GLCM [14] descriptors with Contourlet Co-Occurrence descriptor for image retrieval. Experimental results demonstrate that the proposed method shows a slight improvement in the retrieval effectiveness.