典型图像边缘检测算子的比较与分析  

Comparison and Analysis on Typical Image Edge Detection Operators

作　　者：曾建华[1] 黄时杰 ZENG Jianhua;HUANG Shijie(School of Physics and Electronic Information,Shangrao Normal University,Jiangxi Shangrao 334001,China)

机构地区：[1]上饶师范学院物理与电子信息学院,江西上饶334001

出　　处：《河北师范大学学报（自然科学版）》2020年第4期295-301,共7页Journal of Hebei Normal University：Natural Science

基　　金：江西省教育厅科学技术项目(GJJ170923);江西省上饶市工业科技项目(17A005);上饶师范学院博士科研启动基金(6000108)。

摘　　要：通过MATLAB编程,采用Roberts算子、Prewitt算子、Sobel算子、Kirsch算子、Log算子和Canny算子等对数字图像做了边缘检测.通过图像的直方图,直观展示了各算子检测图像之间及其与原图的差别.引入高斯噪声和椒盐噪声,并评价了每种算子抑制噪声的能力.这些研究结果对边缘检测算子的选择及改进具有一定的指导意义.Using MATLAB programming,six edge detection operators were used to detect digital images.The difference between the image detected by each operator and the original image was intuitively demonstrated from the histogram of the image.Gaussian noise and salt-and-pepper noise were introduced to evaluate the anti-noise ability of each operator detection method.These results will provide some reference for the selection and improvement of detection operators in image-edge detections.

关 键 词：图像处理 边缘检测 检测算子 噪声 直方图 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]