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• W2786869069 abstract "This paper address the multilevel image segmentation by merging Gaussian mixtures models (GMM) and Differential Evolution (DE) with constraints handling. Since the estimation of parameters associated to GMM is a complex task, DE is used to estimate them. Afterwards, these parameters are used for obtaining the optimal thresholds and achieve a multilevel image segmentation. The tests include the use of 83 images of a parasite named Trypanosoma. The experiments were done by using original and equalized images. The results show a better performance with the latter. We conclude that the method is likely useful for applications where the data are similar the data used in this work." @default.
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• W2786869069 date "2017-11-01" @default.
• W2786869069 modified "2023-09-26" @default.
• W2786869069 title "Images segmentation by using differential evolution with constraints handling" @default.
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• W2786869069 doi "https://doi.org/10.1109/la-cci.2017.8285713" @default.
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