灰度图像的二维交叉熵阈值分割法

在解释和说明Li与 Lee提出的一维交叉熵阈值分割方法的基础上，将其推广到二维灰度直方图上，提出了二维交叉熵图像分割算法.为了克服二维空间上运算复杂性高、运算量大的缺点,给出了二维交叉熵阈值法的快速递推公式.与二维Otsu法相比,二维交叉熵阈值法能够更好地适应目标和背景方差相差较大的情形,是一种有效的阈值分割方法.

Two-dimensional Cross-entropy Thresholding Segmentation Method for Gray-level Images

Based on the explanation and illustration of the one-dimensional cross-entropy thresholding segmentation method proposed by Li & Lee,a two-dimensional cross-entropy thresholding method was proposed.Considering the disadvantage of high complexity and large computation of two-dimensional method,a fast recursive formula was presented also.Compared with the traditional two-dimensional Otsu's method,the new method can be better adapted to the cases that the variance between the object and the background is large...