Universiti Teknologi Malaysia Institutional Repository

Freeman chain code extraction using differential evolution (DE) & particles swarm optimization(PSO)

Hasan, Haswadi and Haron, Habibollah and Hashim, Siti Zaiton (2009) Freeman chain code extraction using differential evolution (DE) & particles swarm optimization(PSO). In: The International Conference on Soft Computing & Pattern Recognition (SoCPar 2009), 2009, MITC, Melaka.

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Abstract

This paper is focusing on extracting chain codes of a thinned binary image using two soft computing approaches, i.e. Differential Evolution (DE) and Particle Swarm Optimization (PSO). The problem is to find a continuous route which covers all of the nodes of the image. The motivation is that finding such a route is complicated when it has many branches. Literature review shows that these approaches have not been used for solving such problem. In addition, the result shows that the proposed PSO has a better performance than the proposed DE for solving the problem.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:differential evolution, Particle Swarm Optimization (PSO)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System
ID Code:15215
Deposited By: Narimah Nawil
Deposited On:22 Sep 2011 09:51
Last Modified:30 Jul 2020 07:38

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