Three-Level Gray-Scale Images Segmentation using Non-extensive Entropy

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Computer Graphics, Imaging and Visualisation (CGIV 2007)

Bangkok, Thailand

August 14-August 17

ISBN: 0-7695-2928-3

	ASCII Text	x
	I. El-Feghi, M. Galhoud, M.A. Sid-Aadhmed, M. Ahmadi, "Three-Level Gray-Scale Images Segmentation using Non-extensive Entropy," Computer Graphics, Imaging and Visualization, International Conference on, pp. 304-307, Computer Graphics, Imaging and Visualisation (CGIV 2007), 2007.

	BibTex	x
	@article{ 10.1109/CGIV.2007.83, author = {I. El-Feghi and M. Galhoud and M.A. Sid-Aadhmed and M. Ahmadi}, title = {Three-Level Gray-Scale Images Segmentation using Non-extensive Entropy}, journal ={Computer Graphics, Imaging and Visualization, International Conference on}, volume = {0}, year = {2007}, isbn = {0-7695-2928-3}, pages = {304-307}, doi = {http://doi.ieeecomputersociety.org/10.1109/CGIV.2007.83}, 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 - Three-Level Gray-Scale Images Segmentation using Non-extensive Entropy SN - 0-7695-2928-3 SP304 EP307 A1 - I. El-Feghi, A1 - M. Galhoud, A1 - M.A. Sid-Aadhmed, A1 - M. Ahmadi, PY - 2007 KW - null VL - 0 JA - Computer Graphics, Imaging and Visualization, International Conference on ER -

I. El-Feghi, Higher Industry Institute, Misurata-Libya

M. Galhoud, Al-Fateh University, Tripoli-Libya

M.A. Sid-Aadhmed, University of Windsor, Canada

M. Ahmadi, University of Windsor, Canada

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CGIV.2007.83

The segmentation of images into meaningful and homogenous regions is a crucial step in many image analysis applications. In this paper, we present a three-level thresholding method for image segmentation. The method is based on maximizing non-extensive entropy. After segmentation, the output image will consist of three homogenous regions, namely, dark, gray and white. The threshold value for each region is decided by maximizing an extended form of Tsallis entropy. To improve the performance of the proposed algorithm, an efficient and computationally fast method for initializing the search for maximum entropy is also presented. Results obtained using the proposed algorithm are compared with those obtained using Shannon entropy.

Citation:

I. El-Feghi, M. Galhoud, M.A. Sid-Aadhmed, M. Ahmadi, "Three-Level Gray-Scale Images Segmentation using Non-extensive Entropy," cgiv, pp.304-307, Computer Graphics, Imaging and Visualisation (CGIV 2007), 2007

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