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- W99320984 abstract "Applying with the effectiveness of the Arimoto Generalized Entropy function to decision error probability, a One-Dimensional Arimoto entropy threshold segmentation method is proposed. A homogeneity measure is used as the image segmentation quality assessment, in order to obtain the best threshold, an adaptive particle swarm optimization algorithm is used to select the parameters value. The results show, comparing with the fixed parameter value entropy algorithm, our method using the adaptive parameter optimal searching algorithm in the range of (0,1) can get the better segmentation results. For some images, the parameter value is searched in the range of (0,10), the better segmentation results can be obtained." @default.
- W99320984 created "2016-06-24" @default.
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- W99320984 date "2011-01-01" @default.
- W99320984 modified "2023-09-25" @default.
- W99320984 title "One-Dimensional Arimoto Entropy Threshold Segmentation Method Based on Parameters Optimization" @default.
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- W99320984 doi "https://doi.org/10.1007/978-3-642-23226-8_74" @default.
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