[1]夏平 刘馨琼 向学军 万钧力.基于形态学梯度的图像边缘检测算法[J].计算机技术与发展,2007,(12):107-109.
 XIA Ping,LIU Xin-qiong,XIANG Xue-jun,et al.Algorithm of Image Edge Detection Based on Mathematical Morphology Gradient[J].,2007,(12):107-109.
点击复制

基于形态学梯度的图像边缘检测算法()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2007年12期
页码:
107-109
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Algorithm of Image Edge Detection Based on Mathematical Morphology Gradient
文章编号:
1673-629X(2007)12-0107-03
作者:
夏平12 刘馨琼12 向学军2 万钧力2
[1]三峡大学智能视觉与图像信息研究所[2]三峡大学电气信息学院
Author(s):
XIA Ping LIU Xin-qiong XIANG Xue-jun WAN Jun-li
[1]Institute of Intelligent Vision and Image Information, Three Gorges University[2]College of Electronic Engineering, Three Gorges University
关键词:
图像处理形态学梯度边缘检测算子
Keywords:
image processing morphology gradient image edge detection operator
分类号:
TN911.73 TP301.6
文献标志码:
A
摘要:
边缘检测是数字图像处理的一个重要内容,讨论了经典的边缘检测算子算法,该算法更多地采用Prewitt算子、LOG算子、Canny算子等在空域中进行。数学形态学在图像处理中有广泛的应用,其基本原理是基于利用结构元素去探测图像;在讨论常见数学形态学梯度的基础上,提出了一种基于形态学梯度的图像边缘检测算法,应用定义的形态学梯度结构检测出较理想的图像边缘信息。仿真结果表明,该算法在含噪图像中能得到较为理想的图像边缘信息,其抗噪声性能明显地优于经典的算子检测算法,在检测精度方面较经典的单一算子检测方法亦有一定的改善
Abstract:
Edge detection is one of the important roles in the digital image processing, the Prewitt operator, LOG operator and Canny operator are adopted in the classical edge detection operator arithmetic in space domain. Mathematic morphology is utilized in digital image processing, among which the basic method detects image based on structural elements. Address a kind of image edge detection arithmetic based on morphology gradient which is set on the morphologic eroding and dilating. Different kind of morphology gradient can detect image's edge information which will rebuild ideal image edge. The simulation results show that the arithmetic can get ideal image edge information in noise image, among which the performance of anti - noise is obviously better than the classical operator detection arithmetic, and this kind of arithmetic is improved which is better than classical single operator arithmetic in the aspect of detection precision as well

相似文献/References:

[1]李雷 张建民.一种改善的基于支持向量机的边缘检测算子[J].计算机技术与发展,2010,(03):125.
 LI Lei,ZHANG Jian-min.An Improved Edge Detector Using the Support Vector Machines[J].,2010,(12):125.
[2]张艳丽 保文星.粒子群优化算法在图像边缘检测中的研究应用[J].计算机技术与发展,2009,(05):26.
 ZHANG Yan-li,BAO Wen-xing.Research and Application of Image Edge Detection Based on PSO Algorithm[J].,2009,(12):26.
[3]詹金兰 李翠华.模拟实验系统的可视化研究[J].计算机技术与发展,2009,(05):228.
 ZHAN Jin-lan,LI Cui-hua.Visualization Research on Simulation Experiment System[J].,2009,(12):228.
[4]张家栋 张强 霍凯.图像处理在轴承荧光磁粉探伤中的应用研究[J].计算机技术与发展,2009,(08):216.
 ZHANG Jia-dong,ZHANG Qiang,HUO Kai.Study on Application of Image Processing in Bearing Fluorescent Magnetic Detection[J].,2009,(12):216.
[5]王文豪 张亚红 朱全银 单劲松.QR Code二维条形码的图像识别[J].计算机技术与发展,2009,(10):123.
 WANG Wen-hao,ZHANG Ya-hong,ZHU Quan-yin,et al.Image Recognition in 2 - D Bar Code Based on QR Code[J].,2009,(12):123.
[6]李孟歆 吴成东.粗糙集理论在图像处理中的应用[J].计算机技术与发展,2009,(03):208.
 LI Meng-xin,WU Cheng-dong.Rough Set Theory and Its Applications in Image Processing[J].,2009,(12):208.
[7]武彬.一种离焦模糊图像的复原方法[J].计算机技术与发展,2008,(01):74.
 WU Bin.A Method of Defocus Blurred Image Restoration[J].,2008,(12):74.
[8]蒋恩松 肖辉军 孙刘杰 熊清廉.基于机器视觉的套印误差自动检测系统设计[J].计算机技术与发展,2008,(07):173.
 JIANG En-song,XIAO Hui-jun,SUN Liu-jie,et al.Design of Automatic Detecting Printing Registration Deviation System Based on Machine Vision[J].,2008,(12):173.
[9]汪继文 林胜华 沈玉峰 邱剑锋.一种基于各向异性扩散的图像处理方法[J].计算机技术与发展,2008,(08):98.
 WANG Ji-wen,LIN Sheng-hua,SHEN Yu-feng,et al.An Approach for Image Restoration Based on Anisotropic Diffusion[J].,2008,(12):98.
[10]余志强 戎蒙恬 袁丹寿.一种用单端口SRAM构成的FIFO的ASIC设计[J].计算机技术与发展,2008,(09):159.
 YU Zhi-qiang,RONG Meng-tian,YUAN Dan-shou.ASIC Design of an FIFO Involving Single Port SRAM[J].,2008,(12):159.

备注/Memo

备注/Memo:
湖北省自然科研基金项目(D200513001)夏平(1967-),男,湖北麻城人,副教授,硕士,研究方向为信号与信息处理、图像处理、小波分析及其应用
更新日期/Last Update: 1900-01-01