DocumentCode :
596332
Title :
A novel Petri net model for image segmentation Entropic thresholding based methods
Author :
Mahmoudi, L. ; Al Azawi, Alaa ; El Zaart, A. ; Haidar, Azzam
Author_Institution :
Math. & Comput. Sci. Dept., Beirut Arab Univ., Beirut, Lebanon
fYear :
2012
fDate :
12-15 Dec. 2012
Firstpage :
70
Lastpage :
74
Abstract :
This paper presents a Petri net-based hierarchical architecture for image segmentation concept; the work shows our analytical methodologies for modeling and analysis of image segmentation entropic thresholding based methods. The goal of this paper is to model the image segmentation concept using Petri net.
Keywords :
Petri nets; image segmentation; Petri net model; entropic thresholding based method; image segmentation; Analytical models; Computational modeling; Entropy; Firing; Image segmentation; Mathematical model; Petri nets; Petri net; entropic thresholding; image segmentation; modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Computational Tools for Engineering Applications (ACTEA), 2012 2nd International Conference on
Conference_Location :
Beirut
Print_ISBN :
978-1-4673-2488-5
Type :
conf
DOI :
10.1109/ICTEA.2012.6462906
Filename :
6462906
Link To Document :
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