Study on multi-structuring element edge detection operator of mathematical morphology

FU Qi-feng1; GE Xing-wei1; LIU Hao2

doi:10.13873/j.1000-97872007.06.007

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Study on multi-structuring element edge detection operator of mathematical morphology

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- Study on multi-structuring element edge detection operator of mathematical morphology
- Issue 6, Pages: 65-66+69(2007)
- 作者机构：
  
  1. 河北科技大学机械电子工程学院
  2. 北京邮电大学国际学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872007.06.007
  CLC： TP391.41
- Published：2007
- 稿件说明：
移动端阅览
[1]傅其凤,葛杏卫,刘浩.基于形态学多结构元边缘提取方法的研究[J].传感器与微系统,2007(06):65-66+69.

FU Qi-feng1, GE Xing-wei1, LIU Hao2. Study on multi-structuring element edge detection operator of mathematical morphology[J]. 2007, (6): 65-66+69.
[1]傅其凤,葛杏卫,刘浩.基于形态学多结构元边缘提取方法的研究[J].传感器与微系统,2007(06):65-66+69. DOI： 10.13873/j.1000-97872007.06.007.

FU Qi-feng1, GE Xing-wei1, LIU Hao2. Study on multi-structuring element edge detection operator of mathematical morphology[J]. 2007, (6): 65-66+69. DOI： 10.13873/j.1000-97872007.06.007.

摘要

通过对传统形态学边缘提取方法的分析

提出了基于形态学多结构元边缘提取算子

该算子既有良好的边缘提取特性

又可很好地解决了噪声抑制和保持图像边缘细节之间的矛盾

通过灰度加权平均值作为阈值进行二值化

更加突出了边缘效果。实验表明:基于形态学的多结构元边缘提取算子

具有较高的噪声抑制能力

能够完成复杂背景下的边缘提取。

Abstract

Based on the analysis of traditional edge detection operator of mathematical morphology

a multi-structuring element edge detection operator of mathematical morphology is proposed

which can suppress noise as much as possible while preserving fine details.Threshold acquired by weighted average of gray levels is used to binarize the image

which has a better effect for improving image edge.Experiment results show that the multi-structuring element edge detection operator of mathematical morphology which suppresses noise effectively can detect the edges from the complex background.

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references

基于传感器参数和目标轮廓中心的自动配准算法研究 [J]. 刘松涛,王学伟,周晓东,王成刚. 光学精密工程 . 2005(03)

万能工具显微目镜视场字符识别的预处理算法 [J]. 陈智君,林玉池,赵美蓉,周文斌,黄银国,王帅. 光电子·激光 . 2005(01)

噪声污染图象中的广义形态边缘检测器 [J]. 杨述斌,彭复员. 计算机工程与应用 . 2002(17)

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