An improved Canny image edge detection method with noise immunity

The invention discloses an improved Canny image edge detection method with noise immunity. On the basis of a Canny algorithm, the improved algorithm combines adaptive median filter to replace Gaussianfilter to denoise the image, so as to filter salt and pepper noise interference better. Then combined with the maximum inter-class variance method and the maximum entropy method, the double thresholdselection method is improved to get the high and low thresholds, so as to achieve the edge detection of the image, so that the target image retains the edge information as much as possible, while filtering out the unnecessary interference edges. The invention realizes the edge detection of an image under the condition of salt and pepper noise pollution and a double threshold selection method withstrong adaptability, and has high application reference value. 本发明公开了种可抗噪声的改进Canny图像边缘检测方法，改进算法在Canny算法的基础上，首先结合自适应中值滤波替代高斯滤波对图像降噪，从而较好地滤除椒盐噪声干扰；然后结合最大类间方差法和最大熵法，改进了双阈值选取方法，得到高低阈值，实现对图像的边缘检测，使目标图像在尽可能地保留边缘信息的同时，又过滤掉不必要的干扰边缘。本发