摘要
针对传统Canny算法对椒盐噪声敏感,在计算梯度幅值时只考虑了水平与垂直方向、在非极大值抑制过程中仅依据梯度方向的梯度幅值,从而导致梯度计算不准确、滤波后图像边缘模糊等问题,提出一种改进的Canny边缘检测算法。首先,结合自适应中值滤波与引导滤波的混合滤波器不仅能有效去除图像中的椒盐噪声,还能更好地保存图像边缘;然后,利用4个方向Sobel算子模板计算图像梯度;最后,在非极大值抑制过程中,采用自适应线性插值方法提升边缘检测精度。仿真实验表明,所提算法不仅能有效滤除椒盐噪声,并且相较于传统Canny算法能检测出更多边缘细节。
Aiming at the problem that the traditional Canny algorithm is sensitive to salt-and-pepper noise,only vertical and horizontal direc⁃tions are considered when calculating the gradient amplitude,and only the gradient amplitude in the gradient direction is used in the process of non maximum suppression,which leads to inaccurate gradient calculation and blurred image edges after filtering,an improved Canny edge detection algorithm is proposed.First,the hybrid filter combining adaptive median filter and guided filter can not only effectively remove salt-and-pepper noise in the image,but also better preserve the image edges;Then,use the Sobel operator template in four directions to calculate the image gradient;Finally,in the process of non maximum suppression,the adaptive linear interpolation method is used to improve the edge detection accuracy.Simulation results show that the proposed algorithm can not only effectively filter salt-and-pepper noise,but also detect more edge details than the traditional Canny algorithm.
作者
窦蕾萍
吴君钦
DOU Leiping;WU Junqin(School of Information Engineering,Jiangxi University of Technology,Ganzhou 341000,China)
出处
《软件导刊》
2023年第8期216-220,共5页
Software Guide
