基于Canny边缘检测的图像预处理优化算法

Image preprocessing optimoization algorithm based on Canny edge detection

在图像的边缘检测算法中,Canny算法虽然可以大概勾勒出图片内图像的具体轮廓,但是一些不够清晰的轮廓可能会出现断开的现象,导致局部失真。文中对Canny算法进行进一步优化,采用抑制孤立的弱边缘方法实现边缘检测,图像内一些不太清晰的轮廓可以得以保存,相互连接,使得获得的图像边缘轮廓更加清晰,整体的感观效果更佳。文中给出优化方法并进行仿真验证了结果的有效性。

In the image edge detection algorithm, although Canny algorithm can roughly outline the specific contour of the image in the picture, some unclear contours may not be connected, resulting in the phenomenon of disconnection, which lead to some local distortion. In this paper, Canny algorithm is further optimized by using the suppressing isolated weak edge method to realize edge detection, thus, some unclear contours in the image can be saved and connected with each other, which makes the edge contour of the image clearer and the overall sensory effect better. In this paper, the optimization method is given and simulation is carried out to verify the effectiveness of the results.