二维广义模糊熵图像阈值分割法

针对一维广义模糊熵不能有效处理含噪图像的分割问题,在二维灰度直方图上定义了图像的二维隶属度函数,提出了二维广义模糊熵阈值分割法.该方法不仅考虑了图像的点灰度值,同时考虑了图像像素的邻域平均灰度值,能更好地利用图像中的信息.为了提高二维广义模糊熵阈值法的运行速度、解决参量选取问题,结合粒子群优化搜索方法,设计了嵌套式的优化过程.实验表明,二维广义模糊熵阈值分割法对噪音图像有更好的适应性.

Image Thresholding Method Based on Two-dimensional Generalized Fuzzy Entropy

Aiming at the problem that one-dimensional generalized fuzzy entropy thresholding failed to segment the noised image,a two-dimensional membership function on the two-dimensional histogram is defined and a two-dimensional generalized fuzzy entropy thresholding method is presented.The proposed method segments an image with the pixel intensity and with the pixel′s local average gray value,which considered more image information.In order to improve the speed and select suitable parameter,a nesting optimal searching process is designed with particle swarm optimization for two-dimensional generalized fuzzy entropy thresholding algorithm.Experiment results show that two-dimensional generalized fuzzy entropy thresholding method has good adaptability with noised images.