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VNUHCM Journal of

Science and Technology Development

An official journal of Viet Nam National University Ho Chi Minh City, Viet Nam since 1997

ISSN: 1859-0128
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A NEW DESCRIPTOR FOR IMAGE RETRIEVAL USING CONTOURLET COOCCURRENCE

Hoang Duc Nguyen 1, *
Thuong Tien Le 2
Tuan Hong Do 2
Cao Thu Bui 3

  1. Broadcast Research and Application Center, Vietnam Television (VTV-BRAC)
  2. University of Technology, VNU-HCM
  3. Ho Chi Minh City University of Industry
Correspondence to: Hoang Duc Nguyen, Broadcast Research and Application Center, Vietnam Television (VTV-BRAC). Email: pvphuc@hcmuns.edu.vn.
Volume & Issue: Vol. 15 No. 2 (2012) | Page No.: 5-16 | DOI: 10.32508/stdj.v15i2.1785
Published: 2012-06-30

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Copyright © 2012 by the author(s).

Copyright The Author(s) 2023. This article is published with open access by Vietnam National University, Ho Chi Minh city, Vietnam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

Abstract

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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