The use of moments for image analysis is straightforward if we consider a binary or gray level image segment as a two-dimensional density distribution function.
若把二值图或灰度图看作是二维密度分布函数，就可把矩技术应用于图像分析中。
In this paper a novel method is presented to segment gray level image through maximizing the fuzzy partition entropy of two-dimensional histogram.
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。
The algorithm has been successfully used to segment a number of gray level texture images.
该算法成功地分割了许多灰度级图像。
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