多灰度层次图像的的快速模糊边缘检测算法

模糊边缘检测算法一般是在某个灰度级附近的边缘得到增强的同时，其他一些边缘会受到抑制。为了同时增强图像中不同灰度层次的边缘信息，本文提出一种改进的快速模糊边缘检测算法。利用边缘的一般特征和图像中邻域像素的关联性，根据不同的灰度区域自适应地选取算法参数，用于对多灰度级边缘的图像进行边缘提取。本文算法简洁合理，可以检测到不同灰度层次的边缘，而且速度较快。

Fast Fuzzy Algorithm for Edge Detection of Multi-Level Image

Fuzzy technology is one of the most important methods for edge detection. By using most of current fuzzy algorithms, edges near some gray levels are enhanced, while others are restrained. In order to enhance image edges of different gray levels at the same time, this paper presents an improved fast fuzzy algorithm to process the images with multi-level edges. The algorithm uses the general property of the edges and the relationship between neighborhood pixels, and adaptively chooses parameters according to different gray areas. Results show that the algorithm is simple and accurate, and can rapidly detect multi-level edges.