首页 | 官方网站   微博 | 高级检索  
     

一种改进的基于Canny算子的图像边缘提取算法
引用本文:黄剑玲,郑雪梅.一种改进的基于Canny算子的图像边缘提取算法[J].计算机工程与应用,2008,44(25):170-172.
作者姓名:黄剑玲  郑雪梅
作者单位:1. 上饶师范学院数学与计算机系,江西,上饶,334000
2. 上饶师范学院物理系,江西,上饶,334000
基金项目:江西省教育厅科研项目 
摘    要:针对Canny边缘检测算子用高斯函数作为滤波器会造成缓变边缘丢失及假边缘现象,提出用GCV阈值的小波滤波方法代替高斯滤波器来平滑图像,以有效地去除图像中的噪声,然后计算梯度算子的幅值和方向,最后用极大值抑制和高低阈值的方法检测及连接图像的边缘。实验结果表明,改进的算法提高了边缘检测准确性,获得比较理想的边缘检测效果。

关 键 词:广义交叉确认  Canny  边缘检测  非极大值抑制
收稿时间:2008-4-1
修稿时间:2008-6-25  

Improved image edge detection algorithm based on Canny operator
HUANG Jian-ling,ZHENG Xue-mei.Improved image edge detection algorithm based on Canny operator[J].Computer Engineering and Applications,2008,44(25):170-172.
Authors:HUANG Jian-ling  ZHENG Xue-mei
Affiliation:1.Mathematics and Computer Department,Shangrao Teacher’s College,Shangrao,Jiangxi 334000,China 2.Physics Department,Shangrao Teacher’s College,Shangrao,Jiangxi 334000,China
Abstract:In order to solve the problem of missing edge and feigned edge using Gauss filter with the canny operator,an improved edge detection algorithm is proposed.It replaces Gauss filter with the wavelet threshold filter whose threshold obtained by the GCV theory to wipe off the image noise effectively,computes the magnitude and the direction,and detects and connects edges of the image in use of non-maxima suppression and hysteresis threshold.The experiment shows that the improved algorithm can increase veracity effectively and obtain better edge detection result.
Keywords:Generalized Cross-Validation(GCV)  Canny  edge detection  non-maxima suppression
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号