一种改进型Canny算子边缘检测算法

Improved Edge Detection Algorithm Based on Canny Operator

在图像边缘检测领域,与传统边缘检测算法相比,Canny算法在解决抑制噪声与保留边缘上效果更好,但在保留边缘细节和减少伪边缘方面仍存在不足。提出了一种改进型Canny算子边缘检测算法,采用具有保边去噪特性的双边滤波器代替高斯滤波器进行去噪,并在非极大值抑制和阈值选取方面做出了改进。实验结果表明,该算法能比传统算法检测到更多的边缘细节。

In the field of image edge detection, Canny algorithm is better than the traditional edge detection algorithm in solving the problem of suppressing noise and preserving the edge, but it still lacks in preserving the edge details and reducing the false edge. In this paper, we proposed an improved edge detection algorithm based on Canny operator. This algorithm used the bilateral filter with preservative edge denoising instead of Gaussian filter to denoise, and improved the non-maximum rejection and threshold selection. The experimental result shows that the algorithm can detect more edge details than the traditional algorithm.