Hidayat, Dwi Taufik (2013) Optimum Multilevel Thresholding Hybird GO-PSO By Algorithm. Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information), 6 (1). pp. 1-5. ISSN 2088-7051
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Dwi Taufik Hidayat-OPTIMUM MULTILEVEL THRESHOLDING HYBRID GA-PSO BY ALGORITHM.pdf Download (482kB) | Preview |
Abstract
The conventional multilevel thresholding methods are efficient for bi-level thresholding. However, these methods are computationally very expensive for use in multilevel thresholding because the search of optimum threshold do in depth to optimize the objective function. To overcome these drawbacks, a hybrid method of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), called GA-PSO, based multilevel thresholding is presented in this paper. GA-PSO algorithm is used to find the optimal threshold value to maxime the objective function of the Otsu method. GA-PSO method proposed has been tested on five standard test images a nd genetic algorithm (GA). The results showed the effectivincess in the search for optimal multilevel threshold of the proposed algorithm.
| Item Type: | Article |
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| Uncontrolled Keywords: | multilevel thresholding, segmentasi citra, histogram, genetic algorithm, particle swarm optimization, GA-PSO, fungsi otsu |
| Subjects: | A General Works > AI Indexes (General) |
| Divisions: | Artikel Ilmiah |
| Depositing User: | Risma Noviana |
| Date Deposited: | 12 Mar 2018 01:36 |
| Last Modified: | 10 Apr 2019 11:43 |
| URI: | http://repository.widyakartika.ac.id/id/eprint/190 |
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