A fast technique for gray level image thresholding and quantization based on the entropy maximization

R. Benzid, D. Arar, M. Bentoumi
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引用次数: 15

Abstract

Presented is a fast technique dedicated to the multilevel image thresholding and quantization based on the Shannonpsilas entropy maximization. The elaborated method uses efficiently the cumulative density function for the rapid determination of the optimal thresholds for segmentation. Some simulation results are reported for the aim of illustration and demonstration of its effectiveness.
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一种基于熵最大化的灰度图像阈值和量化快速算法
提出了一种基于shannon - psilas熵最大化的多级图像阈值和量化的快速方法。该方法有效地利用累积密度函数快速确定分割的最佳阈值。为了说明和证明该方法的有效性,给出了一些仿真结果。
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