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Improved Co-occurrence Matrix as a Feature Space for Relative Entropy-based Image Thresholding
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CGIV.2007.49Computer Graphics, Imaging and Visual ...
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I. El-Feghi, N. Adem, M.A. Sid-Ahmed, M. Ahmadi, "Improved Co-occurrence Matrix as a Feature Space for Relative Entropy-based Image Thresholding," Computer Graphics, Imaging and Visualization, International Conference on, pp. 314-320, Computer Graphics, Imaging and Visualisation (CGIV 2007), 2007.
 
 
BibTex
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@article{ 10.1109/CGIV.2007.49,
author = {I. El-Feghi and N. Adem and M.A. Sid-Ahmed and M. Ahmadi},
title = {Improved Co-occurrence Matrix as a Feature Space for Relative Entropy-based Image Thresholding},
journal ={Computer Graphics, Imaging and Visualization, International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2928-3},
pages = {314-320},
doi = {http://doi.ieeecomputersociety.org/10.1109/CGIV.2007.49},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Graphics, Imaging and Visualization, International Conference on
TI - Improved Co-occurrence Matrix as a Feature Space for Relative Entropy-based Image Thresholding
SN - 0-7695-2928-3
SP314
EP320
A1 - I. El-Feghi,
A1 - N. Adem,
A1 - M.A. Sid-Ahmed,
A1 - M. Ahmadi,
PY - 2007
KW - image thresholding
KW - cooccurrence matrix
KW - relative entropy
VL - 0
JA - Computer Graphics, Imaging and Visualization, International Conference on
ER -
 
I. El-Feghi, Higher Industrial Insitutte, Misurata-Libya
N. Adem, El-Fath University, Tripoli-Libya
M.A. Sid-Ahmed, University of Windsor, Canada
M. Ahmadi, University of Windsor, Canada
In this paper, a thresholding technique suitable for noisy background images is proposed. The proposed algorithm uses an improved co-occurrence matrix as feature spaces. The threshold value is obtained by maximizing the relative entropy. Experimental results show that the proposed method outperforms other thresholding techniques especially on the presences of noise in the background of the input image.
Index Terms:
image thresholding, cooccurrence matrix, relative entropy
Citation:
I. El-Feghi, N. Adem, M.A. Sid-Ahmed, M. Ahmadi, "Improved Co-occurrence Matrix as a Feature Space for Relative Entropy-based Image Thresholding," cgiv, pp.314-320, Computer Graphics, Imaging and Visualisation (CGIV 2007), 2007
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