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Dwi Taufik Hidayat
" 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 maximize the ... "
Universitas Widya Kartika, Faculty of Engineering, Department of Informatics, 2013
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Artikel Jurnal  Universitas Indonesia Library