Volume 4, Issue 1 (3-2012)                   IJICTR 2012, 4(1): 1-8 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Hassanzadeh T, Vojodi H, Eftekhari Moghadam A M. A Multilevel Thresholding Approach Based on L´evy-Flight Firefly Algorithm for Image Segmentation . IJICTR. 2012; 4 (1) :1-8
URL: http://ijict.itrc.ac.ir/article-1-190-en.html
1- Department of IT & Computer Engineering Qazvin Branch, Islamic Azad University Qazvin, Iran
Abstract:   (2388 Views)

Multilevel thresholding is an important technique for image processing. The maximum entropy thresholding (MET) has been widely applied in the literature. This paper presented a novel optimal multilevel thresholding approach based on the maximum entropy measure and L´evy-Flight Firefly Algorithm (LFA) for image segmentation. This new method was called, the maximum entropy based on l´evy-flight firefly algorithm for multilevel thresholding (MELFAT) method. In this paper, five famous benchmark images were used to evaluate the proposed method and the results were evaluated by the uniformity measure. The obtained results were compared with five wellknown methods, like Gaussians mooting method (Lim, Y. K., & Lee, S. U. (1990), Symmetry-duality method (Yin, P. Y., & Chen, L. H. (1993), improved GA-based algorithm (Yin, P. -Y. (1999), the hybrid cooperative-comprehensive learning based PSO algorithm (HCOCLPSO) ( Maitra, M., & Chatterjee, A. (2008)) and a new social and momentum component adaptive PSO algorithm (SMCAPSO) (Chander, A.,& Chatterjee, A.,& Siarry, P.(2011)) . The experimental results confirmed the performance and capability of the proposed method to find optimal threshold values.

Full-Text [PDF 1770 kb]   (954 Downloads)    
Type of Study: Research | Subject: Information Technology

Add your comments about this article : Your username or Email: