Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Image edge detection method and system facing electric power facilities

A technology of image edge and power facilities, which is applied in the field of image edge detection method and system, can solve the problems of time-consuming and low accuracy, and achieve the effect of improving accuracy, increasing speed, and ensuring the amount of processed data

Inactive Publication Date: 2016-06-22
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
View PDF5 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to fill the gaps in the existing abnormal event detection system for power facilities such as ice-covered edge detection, and solve the problem of long time-consuming and low accuracy in the image edge detection process, the present invention proposes an image edge detection for power facilities method and system

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
  • Image edge detection method and system facing electric power facilities
  • Image edge detection method and system facing electric power facilities
  • Image edge detection method and system facing electric power facilities

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The embodiments will be described in detail below in conjunction with the accompanying drawings.

[0040] figure 1 is a flowchart of a method for edge detection of a power facility image according to an embodiment of the present invention, such as figure 1 As shown, the method mainly includes steps 1 to 3.

[0041] Step 1. Obtain the image I(x,y) of the power facility.

[0042] Step 2: Perform image preprocessing on the above image, including image grayscale, image enhancement, histogram equalization, median filtering, and image segmentation using an improved threshold segmentation algorithm to obtain preprocessed grayscale image data J(x ,y).

[0043] Step 3, detect the edge of the image through the double-structured structure forest improved algorithm.

[0044] By applying the technical solution of the embodiment of the present invention, when detecting the edge of the electric facility image, the accuracy of image edge detection is improved, and the time for edge...

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 present invention belongs to the field of the computer image processing technology, and especially relates to an image edge detection method and system facing electric power facilities. The method comprises: obtaining image data of an electric power facility, obtaining an image to perform image preprocessing consisting of image graying, image enhancement, histogram equalization, median filtering and image segmentation through adoption a threshold segmentation improvement algorithm, and then performing edge detection through adoption of a dual-structured structure forest improvement algorithm; combining the threshold segmentation improvement algorithm and a traditional edge detection operator to rapidly and clearly detect the transmission line icing edge and neglect the texture condition in the transmission line; and employing structured learning input for picture information to ensure the reduced processing data volume and effectively distinguish whether the information in the picture is the edge information or not, so that the speed of image edge detection is enhanced, and more importantly, the accuracy of the edge detection algorithm is improved.

Description

technical field [0001] The invention belongs to the technical field of computer image processing, in particular to an image edge detection method and system for power facilities. Background technique [0002] Among the many adverse effects on power facilities, icing is the most serious one on electrical equipment. Electrical equipment such as transmission lines will cause many hazards in the case of severe icing, such as the toppling of towers, deformation of towers, broken wires, damage to insulators, and flashovers. [0003] The edge detection method in the related art needs to consume a lot of time when detecting the edge of the image, cannot meet the real-time requirement, and the accuracy of edge extraction is low. Contents of the invention [0004] In order to fill the gaps in the existing abnormal event detection system for power facilities such as ice-covered edge detection, and solve the problem of long time-consuming and low accuracy in the image edge detection ...

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): G06T7/00G06Q50/06
CPCG06Q50/06G06T5/40G06T2207/20032G06T2207/20081G06T5/00
Inventor 王震宇周辉于彬
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com