摘要
为了对图像信息进行有效提取,利用数字图像边缘检测技术可以对图像进行信息的分离,这是一种基础的图像分割技术。目前研究的经典边缘检测算子有Roberts算子、Prewitt算子、Sobel算子、Laplace算子、Log算子、Canny算子等。文章通过开发的基于Matlab/GUI的系统实现这些算法,并通过大量的实验得到关于边缘检测算子对特定阈值和标准差的实验结论,在横向和纵向上对实验结果进行对比分析,并在此基础上对一些改进算子进行了实验研究。
In order to obtain valuable image information,the edge detection technology of digital image can separate the information of the image,which is the basis of image segmentation technology.At present,the classical edge detection operators are Roberts operator,Prewitt operator,Sobel operator,Laplace operator,Log operator,Canny operator and so on.In this paper,these algorithms are realized by the developed system based on Matlab/GUI,and the experimental conclusions about the threshold and standard deviation of the edge detection operator are obtained through a large number of experiments,this paper will do the analysis of experimental results in the horizontal and vertical comparative,and on this basis,some improved methods of operator will be proposed and researched.
作者
魏林
华康民
Wei Lin;Hua Kangmin(Zhengzhou University of Aeronautics,Laboratory&Equipment Management Department,Zhengzhou 450000,China)
出处
《无线互联科技》
2022年第9期140-142,共3页
Wireless Internet Technology
关键词
数字图像
边缘检测
算子研究
算子改进
digital image
edge detection
algorithms research
algorithms improvement
