A NEW DESCRIPTOR FOR IMAGE RETRIEVAL USING CONTOURLET COOCCURRENCE | Zendy

Hoang Nguyen | Zendy; Thuong T. Le | Zendy; Tuan Hong | Zendy; Cao Thu Bui | Zendy

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A NEW DESCRIPTOR FOR IMAGE RETRIEVAL USING CONTOURLET COOCCURRENCE

Author(s) -

Hoang Nguyen,

Thuong T. Le,

Tuan Hong,

Cao Thu Bui

Publication year - 2012

Publication title -

science and technology development journal

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.

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