International Journal of Information and Communication Technology Research
مجله بین المللی ارتباطات و فناوری اطلاعات
International Journal of Information and Communication Technology Research
Engineering & Technology
http://ijict.itrc.ac.ir
1
admin
2251-6107
2783-4425
doi
1652
25391
en
jalali
1390
12
1
gregorian
2012
3
1
4
1
online
1
fulltext
fa
A Multilevel Thresholding Approach Based on L´evy-Flight Firefly Algorithm for Image Segmentation
فناوری اطلاعات
Information Technology
پژوهشي
Research
<p>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.</p>
multilevel thresholding, entropy, image segmentation, uniformity, levy-flight firefly algorithm
1
8
http://ijict.itrc.ac.ir/browse.php?a_code=A-10-27-163&slc_lang=fa&sid=1
Tahereh
Hassanzadeh
1003194753284600550
1003194753284600550
Yes
Hakimeh
Vojodi
1003194753284600551
1003194753284600551
No
Amir Masoud
Eftekhari Moghadam
1003194753284600552
1003194753284600552
No