说明：  图像的边缘是指图像中邻域灰度有显著变化 的像素的集合。它是图像的基本特征, 因此边缘检 测方法在图像处理中成为一个十分重要的课题。经 典的边缘提取方法是考察图像的每个像素在某个邻 域内灰度的变化, 利用边缘邻近一阶或二阶方向导 数变化规律, 用简单的方法检测边缘。但是, 因为边 缘和噪声都是高频信号, 因此许多经典边缘检测算 法很难在边缘和噪声中做出取舍。在众多的边缘检 测算子中, 算子因为具有优良的边缘检测能 力, 因此在图像处理中得到广泛应用。
(The edge of the image refers to the neighborhood gray-scale images have seen a significant change A collection of pixels. It is the basic feature of image, so the edge of the seizure Measurement method in image processing has become a very important issue. By Code extraction method is to investigate the edge of each image pixel in a neighborhood Gray-scale changes in the region, using the edge of the neighboring first-order or second-order directional derivative Changes of a few simple ways to detect the edge. However, because the edge Edge and noise are high-frequency signals, so many of the classical edge detection operator Law at the edge and noise it is difficult to make trade-offs. At the edge of a large number of seized Son of measurement, because the operator has an excellent edge detection can Force, so image processing is widely used. )