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

An indoor smoke environment image matching method suitable for fire fighting robots

A technology for fire-fighting robots and environmental images, which is applied in the field of computer vision and can solve problems such as unstable image matching algorithms and matching failures.

Active Publication Date: 2022-04-12
HEBEI UNIV OF TECH +1
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the interference of indoor smoke and fire, the traditional image matching algorithm is extremely unstable and prone to matching failures, which needs to be improved urgently

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 indoor smoke environment image matching method suitable for fire fighting robots
  • An indoor smoke environment image matching method suitable for fire fighting robots
  • An indoor smoke environment image matching method suitable for fire fighting robots

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] Please refer to figure 1 The shown application provides an indoor smoky environment image matching method suitable for fire extinguishing robots, including the following steps:

[0068] S1. Obtain a frame of real-time image information; collect real-time video images of the indoor smog environment through the camera on the platform, and extract any frame of real-time image information. Here, in order to ensure the processing speed, the resolution of the image should not be too high, for example, choose 640 *480 resolution;

[0069] Because the indoor smoke environment has the characteristics of multiple light sources and different smoke concentrations, the traditional image defogging algorithm is no longer applicable. This scheme divides the real-time image information to obtain n*n image units with a rectangular structure, which reduces the burden of multiple light sources. influences.

[0070] Construct the first eigenvector of each image unit, the first eigenvector...

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 application discloses an indoor smoke environment image matching method suitable for a fire-fighting robot. The method includes the following steps: obtaining a frame of real-time image information; dividing the real-time image information to obtain image units; constructing the first feature vector of each image unit; calculating the local density of any image unit; The maximum value in the relative distance between other image units of the image unit; construct the second eigenvector of each image unit; superimpose the first local atmospheric light intensity and the second local atmospheric light intensity to obtain the global atmospheric light intensity; calculate the global Transmittance; build a defogging model, input real-time image information into the defogging model, and obtain two first adjacent frames of fog-free images; use the pyramid LK optical flow algorithm to track feature points, obtain matching point pairs, and eliminate incorrect matching points; update Transmittance and atmospheric light intensity parameters. Guarantee the quality of defogging, reduce the time complexity of the algorithm, and realize the real-time operation of the algorithm.

Description

technical field [0001] The present disclosure generally relates to the technical field of computer vision, and in particular relates to an image matching method for an indoor smoky environment suitable for a fire-fighting robot. Background technique [0002] With the continuous development of computer and image processing technology, more and more machine vision technologies are applied to various fields, including video surveillance, intelligent transportation, industrial production, special rescue and other fields. However, in scenes of environmental degradation, such as smog, water fog, etc., the application of vision technology is limited. As a key step in machine vision, image matching can establish a geometric correspondence between two or more images of the same target or scene, and is an important link in target recognition, target tracking, visual positioning, and 3D reconstruction. However, due to the interference of indoor smoke and fire, the traditional image ma...

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 Patents(China)
IPC IPC(8): G06V10/56G06V20/40G06K9/62G06T5/50
CPCG06T5/50G06T2207/10016G06T2207/20081G06F18/23213
Inventor 韩旭陶友瑞裴文良陆文涛梁博文段书用
Owner HEBEI UNIV OF TECH
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