一种改进的Canny算子边缘检测算法

边缘是图像的基本特征之一,因此在图像处理中图像边缘检测是图像处理的一个重要部分。由于传统的Can-ny边缘检测算法是通过在2×2领域内求有限差分来计算梯度幅值的,易受噪声的影响,容易检测出孤立点和伪边缘。在基于传统的Canny边缘检测算法的基础上,采用3×3领域的梯度幅值计算方法,提高了边缘的定位精度,改善了对噪声的敏感性。实验结果表明,该算法在保证实时性的同时,具有更好的检测精度和准确度。

An Improved Edge Detection Algorithm Based on Canny Operator

Edge is one of the basic characteristics of the image, so image edge detection is an important part of image processing. The traditional Canny edge detection algorithm found finite difference in 2 × 2 field to calculate gradient amplitude, so it can be easily affected by the noise, and the outlier and untrue edge can be easily detected. A 3 × 3 field gradient magnitude calculation method is used based on the traditional Canny edge detection algorithm. This method proves that it can improve the image＇s edge positioning accuracy and the sensitivity to noise. Experimental results indicate that this algorithm has better examination precision and accuracy during guarantee its real-time performance.