基于小波变换的含噪图像边缘检测算法

摘要

Focusing on the problem of noise removal is not complete and edge position is not accurate, this paper presents an im-proved algorithm for detecting noisy image edge.The algorithm first improved the gradient algorithm at the time of detecting the edge used by the wavelet transform modulus maxima according to the norm’ s nature.Then we used the improved threshold meth-od which was proposed in this paper to the edge image, and after connecting the image, it obtained the final image edge.Through computer simulation to validate the algorithm, experimental results show that the algorithm can get the ideal edge image informa-tion in noise image, and achieve the bidirectional balance of de-noising and edge precise positioning.The detection algorithm is superior to the traditional method, and it also improves in the aspect of detection effect as well.%针对含噪图像边缘检测时出现的噪声去除不完全和边缘定位不精确的问题，本文提出一种改进的图像边缘检测算法，该算法首先根据范数性质改进对图像进行小波变换求模极大值边缘检测时的梯度模算法，然后对得到的边缘图像利用本文所提出的阈值算法处理，最后连接图像，得到最终的图像边缘。计算机仿真结果表明，对于含噪图像，改进的算法能得到较为理想的图像边缘信息，实现了去噪和目标边缘精确定位的双向平衡，与传统的检测算法相比，检测效果有一定的提高。