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。
In this paper, an automatic approach for thresholding based on gray level gradient co occurrence matrix model and the maximum entropy principles is proposed.
它包括二维匹配滤波预处理以增强血管的灰度，以及用灰度-梯度共生矩阵的最大熵阈值化方法。
Entropy thresholding method is an automatic technique for thresholding of digital images based on gray level-gradient co-occurrence matrix and the maximum entropy principle.
首先计算文本区域的灰度-梯度共生矩阵，并根据目标函数快速地找到分割的灰度和梯度最佳阈值；
The gray-gradient co-occurrence matrix of the text region is calculated, and the optimum thresholds of segmented grayscale and gradient are found quickly according to the objective function.
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