该文提出了一种通过最大化二维直方图模糊划分熵分割灰度图像的新算法。

In this paper a novel method is presented to segment gray level image through maximizing the fuzzy partition entropy of two-dimensional histogram.

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然后把特征窗口划分成一定大小的小块，以每块的灰度平均值为分解窗口的参量。

Then the feature window is divided into a number of location and the average value of each location is calculatied as the parameter in the feature window .

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将图像划分为若干节，对每节最大、第二、第三等三个灰度值分别采用模2法嵌入水印。

The image has been divided into several sections, the gray value of the largest, second and third of each section has been embeded watermarking by module 2.

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