A Multilevel Thresholding Approach Based on L´evy-Flight Firefly Algorithm for Image Segmentation
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...
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| Format: | Article |
| Language: | English |
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Iran Telecom Research Center
2012-03-01
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| Series: | International Journal of Information and Communication Technology Research |
| Subjects: | |
| Online Access: | http://ijict.itrc.ac.ir/article-1-190-en.html |
| _version_ | 1811169326159364096 |
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| author | Tahereh Hassanzadeh Hakimeh Vojodi Amir Masoud Eftekhari Moghadam |
| author_facet | Tahereh Hassanzadeh Hakimeh Vojodi Amir Masoud Eftekhari Moghadam |
| author_sort | Tahereh Hassanzadeh |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T16:41:37Z |
| format | Article |
| id | doaj.art-e8862ae860014e439054a207828ffdf1 |
| institution | Directory Open Access Journal |
| issn | 2251-6107 2783-4425 |
| language | English |
| last_indexed | 2024-04-10T16:41:37Z |
| publishDate | 2012-03-01 |
| publisher | Iran Telecom Research Center |
| record_format | Article |
| series | International Journal of Information and Communication Technology Research |
| spelling | doaj.art-e8862ae860014e439054a207828ffdf12023-02-08T07:31:26ZengIran Telecom Research CenterInternational Journal of Information and Communication Technology Research2251-61072783-44252012-03-014118A Multilevel Thresholding Approach Based on L´evy-Flight Firefly Algorithm for Image SegmentationTahereh Hassanzadeh0Hakimeh Vojodi1Amir Masoud Eftekhari Moghadam2 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.http://ijict.itrc.ac.ir/article-1-190-en.htmlmultilevel thresholdingentropyimage segmentationuniformitylevy-flight firefly algorithm |
| spellingShingle | Tahereh Hassanzadeh Hakimeh Vojodi Amir Masoud Eftekhari Moghadam A Multilevel Thresholding Approach Based on L´evy-Flight Firefly Algorithm for Image Segmentation International Journal of Information and Communication Technology Research multilevel thresholding entropy image segmentation uniformity levy-flight firefly algorithm |
| title | A Multilevel Thresholding Approach Based on L´evy-Flight Firefly Algorithm for Image Segmentation |
| title_full | A Multilevel Thresholding Approach Based on L´evy-Flight Firefly Algorithm for Image Segmentation |
| title_fullStr | A Multilevel Thresholding Approach Based on L´evy-Flight Firefly Algorithm for Image Segmentation |
| title_full_unstemmed | A Multilevel Thresholding Approach Based on L´evy-Flight Firefly Algorithm for Image Segmentation |
| title_short | A Multilevel Thresholding Approach Based on L´evy-Flight Firefly Algorithm for Image Segmentation |
| title_sort | multilevel thresholding approach based on l´evy flight firefly algorithm for image segmentation |
| topic | multilevel thresholding entropy image segmentation uniformity levy-flight firefly algorithm |
| url | http://ijict.itrc.ac.ir/article-1-190-en.html |
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