中文说明：为此提出了方法但他们大多有表现疲弱中噪声的图像，因为噪声像素决意作为边缘。在这个项目中，两种新方法表示基础上分层自适应神经模糊系统 （HANFIS）。每个方法包含 HANFIS 营办商，收到的一些邻近的像素的值，并决定所需数目中心像素的边缘与否。列车简单图像用于设置每个 HANFIS 运算符的内部参数。实验结果表明这些方法是对脉冲噪声鲁棒性，准确提取边缘像素。
English Description：
methods have been proposed for this end but most of them have weak performance in noisy images because noise pixels are determined as edge. In this Project, two new methods are represented based on Hierarchical Adaptive Neuro Fuzzy Systems (HANFIS).Each method consists of desired number of HANFIS operators that receive the value of some neighbouring pixels and decidecentral pixel is edge or not. Simple train images are used in order to set internal parameters of each HANFIS operator. The experimental results show that these methods are robust against impulse noise and extract edge pixels exactly.