Supercharge Your Innovation With Domain-Expert AI Agents!

Power line detection method based on line element geometric space relation connection

A technology of geometric space and relational connection, applied in image data processing, instrument, character and pattern recognition, etc., can solve problems such as difficult to observe power lines, confusion, limited human eye observation ability, etc.

Pending Publication Date: 2020-11-27
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The limited observation ability of the human eye makes it difficult for pilots to observe power lines that are prone to accidents when flying helicopters at low altitudes
Power lines are easily confused with other linear targets due to their slender shape. Linear targets are easy to capture, but it is challenging to identify them as power lines and extract them completely.

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
  • Power line detection method based on line element geometric space relation connection
  • Power line detection method based on line element geometric space relation connection
  • Power line detection method based on line element geometric space relation connection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] Such as figure 1 and figure 2 As shown, a power line detection method based on the geometric spatial relationship of line primitives, including the following steps:

[0048] (1) Based on the outdoor image, the sky region is segmented to obtain the power lines under the sky background;

[0049] (2) Process the power lines obtained in step (1) with a line segment detection algorithm;

[0050] (3) Geometric and spatial relationship of line primitives Combine line segments according to collinear judgment conditions, and completely extract power lines.

[0051] Because the line segment detection algorithm itself has the defect that it is easy to split the straight line, it is necessary to further use the morphological characteristics of the power line to remove the false linear target and combine the line segments according to their spatial relationship to improve the algorithm. In this method, the power line is composed of sections of local line primitives, and the line...

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 a power line detection method based on line element geometric space relation connection, and the method comprises the following steps: (1), carrying out the region segmentationof a sky region based on an outdoor image, and obtaining a power line under a sky background; (2) processing the power line obtained in the step (1) by using a line segment detection algorithm; and (3) carrying out line segment combination on the geometric space relationship of the line elements according to collinear judgment conditions, and completely extracting the power line. According to themethod, the advantages of rapid detection of the line segment detectors are combined, the characteristics of the power lines are considered, the line elements are connected according to the line segment collinearity criterion, combined connection is conducted according to the spatial relation, and therefore, the algorithm is improved, and the complete power lines can be extracted.

Description

technical field [0001] The invention relates to the technical field of outdoor image processing, in particular to a power line detection method based on geometric space relationship connection of line primitives. Background technique [0002] The limited ability of the human eye to observe makes it difficult for pilots to observe power lines that are prone to accidents when flying helicopters at low altitudes. Power lines are easily confused with other linear targets due to their slender shape. Linear targets are easy to capture, but it is challenging to identify them as power lines and extract them completely. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a power line detection method based on the connection of the geometric space relationship of line primitives, which can extract complete power lines. [0004] In order to solve the above-mentioned technical problems, the present invention provides a power li...

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): G06T7/11G06K9/62
CPCG06T7/11G06T2207/10004G06F18/23G06F18/2411
Inventor 许沁怡张弓
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com