灰度-梯度共生矩阵模型的加权条件熵阈值法

基于二维灰度直方图的最大熵阈值法是依据“灰度-灰度均值”构成直方图的图像分割方法，该方法着重于图像的内部信息，忽略了边界区域的信息。应用图像的梯度信息建立“灰度-梯度共生矩阵”，构造图像的二维灰度直方图，结合最大条件熵法进行阈值选取。为了充分提取图像内部和边缘信息，提出了二维加权最大熵阈值法。结果表明，该方法一方面能够保留更多的图像边缘信息，另一方面能够根据实际需要调节权值大小，得到兼顾图像内部和边缘信息的分割结果。

Maximum weighted conditional entropy threshold algorithm based on gray-gradient co-ocurrence matrix model

The maximum entropic threshold method is a common image segmentation technology based on the gray-gray means. This approach focuses on extracting the internal information,but ignores the edge information.Using the image gradient information,this paper establishesgray-gradient co-occurrence matrix,combined with the maximum conditional entropy threshold selection formula.A 2-D weighted maximum entropic threshold method is presented to obtain the internal and edge informations of the image.The results show tha...