一种基于小波变换和Canny算子相结合的边缘检测方法

An Edge Detection Method Based on the Combination of Wavelet Transform and Canny Operator

提出了一种利用小波变换手段和Canny检测算子相结合的边缘检测处理方法。在提取图像边缘之前,利用小波变换能够检测局部突变的能力以及多尺度聚焦的功能,充分抑制图像噪声干扰的同时适当调整图像中目标与背景的对比度,最后利用最优阈值下的Canny算子提取图像边缘。此方法可以很好的消除因噪声干扰带来的虚假边缘,强化弱边缘,使之能够更理想的被检测出来。

This paper presents an edge detection method by using the combination of wavelet transform and Canny detection operator, which suppresses the interference of image noise, at the same time, adjusts the contrast ratio of target and background by using the fea- tures that wavelet transform can detect local signal mutation and function of multi-scale focusing before the extraction of image edges, and then it extracts image edges by using Canny operator under the optimal threshold. This method can eliminate the false edges and strengthened weak edges caused by noise interference, so that edges can be detected accurately.