Otsu's criterion-based multilevel thresholding by a nature-inspired metaheuristic called Galaxy-based Search Algorithm


In this paper, image segmentation of gray-level images is performed by multilevel thresholding. The optimal thresholds for this purpose are found by maximizing the between-class variance (the Otsu's criterion). The optimization is conducted by a newly-developed nature-inspired metaheuristic called “Galaxy-based Search Algorithm” or the GbSA… (More)
DOI: 10.1109/NaBIC.2011.6089621


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