[1]张大明 倪友聪.噪声图像形态边缘检测的改进算法[J].计算机技术与发展,2007,(09):68-70.
　ZHANG Da-ming,NI You-eong.Improved Algorithm of Mathematical Morphological Edge Detection for Noisy Image[J].,2007,(09):68-70.
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噪声图像形态边缘检测的改进算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2007年09期
页码:
68-70
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Improved Algorithm of Mathematical Morphological Edge Detection for Noisy Image
文章编号:
1673-629X（2007）09-0068-03
作者:
张大明 倪友聪
安徽建筑工业学院数理系
Author(s):
ZHANG Da-ming;  NI You-eong
Department of Mathematics ＆ Physics,Anhui Institute of Architecture ＆ Industry
关键词:
边缘检测; 数学形态学; 形态学结构元素
Keywords:
edge detection;  mathematical morphology;  morphological structuring elements
分类号:
TP391.4 TP301.6
文献标志码:
A
摘要:
研究了数学形态学在图像边缘检测中的具体应用，针对脉冲噪声污染的图像，深入分析了已有的抗噪型形态学差分算子的优缺点，结合对多方位形态学结构元素在边缘检测中应用的研究，提出了一种改进算法。实验表明，改进算法可以很好地去除噪声，同时较好地检测出图像边缘，改进效果明显
Abstract:
The application of mathematical morphology in edge detection is extensively studied in this paper. Aiming at the image corrupted by impules,based on existed anti-noises morphological differentiating operators,and combined by muhidireetion morphological structuring dements, an improved algorithm is developed. The experimental results show that the new algorithm can eliminate the influence of impulsive noises on edge detecting and the improved effect is very evident

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备注/Memo

备注/Memo:
安徽建筑工业学院硕博科研启动项目（20051101）张大明（1976-），男，河南人，讲师，硕士，研究方向为数字图像处理、计算机视觉
更新日期/Last Update: 1900-01-01