一种基于小波提升变换的多尺度边缘提取算法

提出了一种基于小波提升变换的改进图像边缘的检测算法.本算法首先对源图像进行小波提升分解,然后分别对高、低频子图像进行边缘提取.对于低频信息使用Canny算子进行边缘检测,而高频信息先用相邻尺度小波系数相乘的方法去除噪声,消噪后再对高频分量进行边缘检测.最后通过一定的融合规则进行融合,得到最终的边缘图像.实验结果表明,该方法具有运算速度快,能有效地抑制噪声,边缘检测精度高等特点,是一种有效的图像边缘提取算法.

An Algorithm Based on Wavelet Lifting Transform for Extraction of Multi-scale Edge

An algorithm based on wavelet lifting transform is proposed for improving multi-scale edge detection.It should be carried out the way the source image is decomposed by wavelet lifting transform so as to extract the edges of high-frequency and low-frequency sub-images separately.Then,the Canny operator is used for low-frequency information during edge detection,while the high-frequency component is detected after noise removal through multiplying the wavelet coefficients on adjacent scales.The final edge images are obtained through a fusion in accordance to certain rules.Experimental results showed that the algorithm is effective to extract image edges and has advantages of quick operation,efficient suppression of noise and high detection accuracy.