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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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Article Details
Issue: Vol 15 No 2 (2012)
Page No.: 5-16
Published: Jun 30, 2012
Section: Engineering and Technology - Research article
DOI: https://doi.org/10.32508/stdj.v15i2.1785
Copyright Info
Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Nguyen, H., Le, T., Do, T., & Bui, C. (2012). A NEW DESCRIPTOR FOR IMAGE RETRIEVAL USING CONTOURLET COOCCURRENCE. Science and Technology Development Journal, 15(2), 5-16. https://doi.org/https://doi.org/10.32508/stdj.v15i2.1785
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