An insulator damage detection method based on elliptic feature fitting

A damage detection and insulator technology, which is applied in the field of image processing, can solve the problems of large influence of image segmentation and low efficiency of insulator segmentation, and achieve good results

Active Publication Date: 2019-05-21
XI'AN POLYTECHNIC UNIVERSITY
View PDF6 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide an insulator damage detection method based on ellipse feature fitting, which solves the problem that the existing insulator segmentation efficiency is low and the shadow and illumination in the insulator image have a great influence on the image segmentation

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • An insulator damage detection method based on elliptic feature fitting
  • An insulator damage detection method based on elliptic feature fitting
  • An insulator damage detection method based on elliptic feature fitting

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0068] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0069] After the insulator is accurately divided, it is necessary to perform fault diagnosis on the insulator. Damage to the surface of the insulator is the most frequent fault. Damage to the insulator will reduce the dielectric strength of the insulator porcelain body, and even cause the insulator to burn, break down and break, resulting in electrical accidents. Therefore, the damage detection of insulators is a very critical step. For the damage detection of insulators, the commonly used damage detection methods include direct observation method, electric field measurement method, image detection method, etc. Among them, the image detection method has higher accuracy than other detection methods. , safe and reliable, easy to implement and so on. The invention uses a slope model to detect damage, and the edge of each scale of the intact insu...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an insulator damage detection method based on elliptic feature fitting. The method includes; Firstly, collecting an original image of an insulator; performing image graying andimage filtering processing, removing interference noise of the image, performing two-dimensional OTSU threshold segmentation on the image, obtaining a global threshold, obtaining an insulator region,and performing'hole 'filling and pseudo target removal on the image subjected to two-dimensional OTSU threshold segmentation by combining morphological filtering and communication region marking; Carrying out edge detection on the processed image to obtain an edge contour of the insulator, solving a central coordinate point and a long-axis rotation angle through optimal ellipse fitting to obtaina fitting ellipse of each insulator in the insulator strings, and analyzing insulator pieces above and below the insulator strings to obtain optimal ellipse fitting of the whole insulator strings; Andfinally, carrying out damage detection by utilizing the slope model. According to the method, the problems that the existing insulator segmentation efficiency is low and shadow and illumination in the insulator image greatly influence image segmentation are solved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an insulator damage detection method based on ellipse feature fitting. Background technique [0002] As an important part of transmission lines, insulators play an important role in the mechanical support and electrical insulation of wires, and their performance directly affects the safe operation of the power grid. Since insulators are exposed to the field for a long time and work in harsh environments such as strong electric fields, sudden cooling and sudden heating, the surface of insulators will inevitably be damaged. Damage to the porcelain body will reduce the dielectric strength of the insulator, and even cause the insulator to burn, break down and break, resulting in serious electrical accidents. The key to fault diagnosis is how to accurately segment insulators. Commonly used image segmentation methods include edge detection, threshold segmentation,...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/13G06T7/136
Inventor 黄新波聂婷婷张烨杨璐雅
Owner XI'AN POLYTECHNIC UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap