Application of Mathematical Morphology to Edge Detection of Insulator Image

GE Yu-min1; LI Bao-shu1; LIANG Shuang2

doi:10.13296/j.1001-1609.hva.2012.01.002

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Application of Mathematical Morphology to Edge Detection of Insulator Image

更新时间：2025-04-26

- Application of Mathematical Morphology to Edge Detection of Insulator Image
- High VoltageApparatus Vol. 48, Issue 1, Pages: 101-104+109(2012)
- 作者机构：
  
  1. 华北电力大学电气工程学院
  2. 保定供电公司
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2012.01.002
  CLC： TP391.41
- Published：2012
- 稿件说明：
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[1]葛玉敏,李宝树,梁爽.数学形态学在绝缘子图像边缘检测中的应用[J].高压电器,2012,48(01):101-104+109.

GE Yu-min1, LI Bao-shu1, LIANG Shuang2. Application of Mathematical Morphology to Edge Detection of Insulator Image[J]. High voltageapparatus, 2012, 48(1): 101-104+109.
[1]葛玉敏,李宝树,梁爽.数学形态学在绝缘子图像边缘检测中的应用[J].高压电器,2012,48(01):101-104+109. DOI： 10.13296/j.1001-1609.hva.2012.01.002.

GE Yu-min1, LI Bao-shu1, LIANG Shuang2. Application of Mathematical Morphology to Edge Detection of Insulator Image[J]. High voltageapparatus, 2012, 48(1): 101-104+109. DOI： 10.13296/j.1001-1609.hva.2012.01.002.

摘要

在智能变电站系统的建设中

对远程监控提供的图像质量提出了更高的要求

需要有更清晰的图像及其边缘。笔者以绝缘子图像为例

提出了基于数学形态学的电力系统图像边缘检测方法

既能有效地滤除噪声

又可保留图像中的原有细节信息

并与其余几种常用的边缘检测算子的检测结果进行了比较

说明在电力系统中应用图像边缘检测时

要根据电力设备图像的特征合理地选择最适合的方法。

Abstract

An edge detection method based on mathematical morphology is proposed for the images from remote monitoring system of intelligent substation system.Taking insulator images for example

this method can filter out noise effectively and keep the original details.Comparison among the proposed method and other commonly used edge detection methods indicates that the most suitable method should be chosen in accordance with image features.

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