一种改进的Canny边缘检测算法

An Improved Algorithm for Edge Detection Based on Canny

图像在获取和传输过程中容易受到噪声污染,提取图像边缘之前通常要进行滤波去噪。传统的Canny边缘检测算子基于最优化思想,具有较高的检测精度,可以达到单像素级。但是传统Canny算子采用高斯滤波器,使用中需要预先人为设定高斯滤波方差值,能够滤除的噪声类型单一。本文通过分析,提出一种改进的Canny自适应滤波算法,该算法基于自适应中值滤波和自适应维纳滤波的结合。试验结果表明,改进后的Canny算子对于被脉冲噪声和高斯噪声混合污染的图像有较好的去噪和边缘提取效果。

The images are vulnerable to get noise pollution in the process of acquisition and transmission.Because the variance of gaussian filter should be determined artificially and in order to improve the filter.An improved adaptive edge detection algorithm was put forward based on Canny.This algorithm combining adaptive median filter with adaptive wiener filter.The experimental results show that the algorithm is obviously much better than traditional Canny algorithm when filtering mixed noise of Gaussian and impulse in images.