一种新的基于小波变换的边缘检测算法

A new wavelet transform-based edge detection algorithm

提出了一种新的基于小波变换的图像边缘检测算法。该算法首先按水平、垂直和对角方向对图像进行多尺度二进制小波变换,提取3个方向的小波系数。然后采用相邻尺度小波系数相乘的方法去除噪声,提取小波系数乘积的极大值点。最后将这3个方向上的极大点进行融合,形成图像的边缘。仿真实验表明,该算法具有较好的边缘检测和抑制噪声的能力,边缘检测效果明显优于传统的边缘检测方法。

A new wavelet transform-based edge detection algorithm for images is presented in the paper. The processes of the algorithm are as follows: the multiscale dyadic wavelet transforms are first performed on the image along horizontal, vertical and diagonal directions to obtain wavelet coefficients; the method of adjacent scales wavelet coefficients multiplication is then applied to remove noise and extract the maximum points of the wavelet coefficients product; the maximum points are finaly merged to conform the image edges. The result of emulation experiment indicates that the algorithm has the ability of controlling noise and detecting edges effectively. The detection results are superior to the traditional detection results.