基于巴特沃斯滤波的改进型Sobel算子边缘检测  

Improved Sobel Edge Detection Operator Based on Butterworth Filter

作　　者：王壵壵 李竹[1] WANG Zhuang-zhuang;LI Zhu(Shanxi Normal University,Linfen 041004,Shanxi)

机构地区：[1]山西师范大学物理与信息工程学院,山西临汾041004

出　　处：《电脑与电信》2020年第8期19-22,共4页Computer & Telecommunication

基　　金：山西师范大学教学改革创新项目《电子信息专业实践教学体系改革的研究与实践》,项目编号:2017JGXM-06;山西省教学改革创新项目《电子信息专业实践教学体系改革的研究与实践》,项目编号:J2018094。

摘　　要：为解决传统Sobel算子图像边缘检测时计算方向单一、定位不准确、边缘连通性差的缺陷,提出了一种巴特沃斯高通滤波与改进型Sobel算子结合的图像边缘检测算法,利用二者结合的技术对图像进行边缘检测和特征提取。首先采用巴特沃斯高通滤波器进行图像预处理,然后利用在传统Sobel算子基础上增加45°和135°等六个方向模板的改进型Sobel算子进行边缘检测。通过实验仿真,与传统算法相比较,该算法具有边缘突出、连通性好、对噪声敏感度低、定位精度高等优点。In order to solve the defects of single calculation direction,inaccurate positioning and poor edge connectivity in traditional Sobel operator image edge detection,this paper proposes an image edge detection algorithm that combines Butterworth high-pass filtering and improved Sobel operator,and uses the combination of the two techniques to perform edge detection and feature extraction on images.Firstly,the image is pre-processed by the Butterworth high-pass filter,then the improved Sobel operator that adds sixdirection templates is used to the traditional Sobel operator for edge detection.Through experimental simulation,compared with the traditional algorithm,this algorithm has the following advantages:prominent edge,good connectivity,low sensitivity to noise,high positioning accuracy.

关 键 词：巴特沃斯 特征提取 边缘检测 SOBEL算子 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]