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The optimum multilevel thresholding is found by maximizing the entropy.
In this paper, real coded genetic algorithm with Simulated Binary Crossover (SBX) based multilevel thresholding is used for the segmentation of medical brain images.
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The multilevel thresholding technique is used to extract homogeneous regions, in each image, to be fused.
This new multilevel thresholding algorithm is called the firefly-based minimum cross entropy thresholding (FF-based MCET) algorithm.
The results reveal that the performance of real coded genetic algorithm with SBX crossover based optimal multilevel thresholding for medical image is better and has consistent performance than already reported methods.
The threshold is 50percentt.
The legal threshold is high.
"Now the threshold is five".
Table 3 presents the results of the multilevel logistic regression analyses showing predisposing, enabling and needs factors associated with adequate pharmacological and psychological treatments for the sample.> -wrap-foot> NOTES: Bivariate association's threshold is p ≤ 0.10.
In this study, an image-processing method fusing feedback pulse couple neural network and multilevel thresholding, the I-FM method, is proposed for automatic extraction of grain-size distribution based on digital photographs taken from a river-bed.
The idea is based on multilevel thresholding and data fusion techniques.
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