The speed function defined in Level set method can be divided into two classes: function based on the gradient of image and function based on the image gray.
水平集方法的速度函数定义根据所利用的图像信息可以分为两大类：基于图像梯度和基于图像灰度信息。
In this paper, an automatic approach for thresholding based on gray level gradient co occurrence matrix model and the maximum entropy principles is proposed.
提出了一种基于灰度-梯度共生矩阵模型和最大熵原理的自动阈值化方法。
Combining the two essential characteristics of the image, the gradient and the gray level, a threshold segmentation approach using maximum entropy with the gradient boundary control was proposed.
结合梯度和灰度这两种图像的本质特征，提出一种基于边界梯度控制的最大熵阈值分割方法。
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