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

Gas infrared image enhancing method based on anisotropic diffusion

An anisotropic, infrared image technology, used in image enhancement, image data processing, instruments, etc., can solve the problem of few enhancement algorithms for gas infrared images, and achieve the effect of enhancing signal strength

Inactive Publication Date: 2012-07-25
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF2 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are still relatively few enhancement algorithms for gas infrared images, and even fewer enhancement algorithms that can fully consider the characteristics of gas movement

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
  • Gas infrared image enhancing method based on anisotropic diffusion
  • Gas infrared image enhancing method based on anisotropic diffusion
  • Gas infrared image enhancing method based on anisotropic diffusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] In order to further illustrate the purpose and advantages of the present invention, the present invention will be further described below with reference to the accompanying drawings and specific embodiments. The present invention realizes a specific gas infrared image enhancement method by using two mechanisms, such as anisotropic diffusion, frame-by-frame difference, and K-means clustering. In the following embodiment, N=frame difference step d+accumulation times n, and the accumulation times and frame difference step are set by the user as required. In this embodiment, d is set to 2, and n is set to 5.

[0026] In this example, CO captured by a medium-wave gas imager equipped with a narrow-band filter is captured by an infrared image enhancement method based on anisotropic diffused gas. 2 Gas video is enhanced. Its specific implementation process includes figure 1 The following steps are shown:

[0027] Step 1. Use a cooled medium wave gas imager to detect the leak...

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 relates to a gas infrared image enhancing method based on anisotropic diffusion and belongs to the field of gas detection. The method comprises the following steps of: firstly, preprocessing a gas infrared video sequence image, and respectively processing by two ways, wherein one way uses a forward anisotropic diffusion algorithm so as to spread a gas cloud cluster region, and the other way uses a bidirectional anisotropic diffusion algorithm so as to reduce the noise, and protect and enhance the detail and edge of an image background; then, carrying out discontinuous frame difference on a first processing result, and accumulating difference results; and marking the gas cloud cluster region by the means that a K mean value is clustered in the accumulated result, confirming the position coordinate of the gas cloud cluster, and finally rendering the gas cloud cluster in a colorizing way according to the corresponding position of the coordinate in a second processing result, so that the interpretation property of the gas cloud cluster can be observably improved, the quality of the gas infrared image can be improved, and human eyes can quickly detect the formed gas cloud cluster when the gas leaks. The method can be used for detecting the leakage of the invisible hazardous gas.

Description

technical field [0001] The invention belongs to the field of gas detection, and relates to a post-signal processing technology of a passive gas leakage infrared imaging detection system, in particular to a gas infrared image enhancement method based on anisotropic diffusion, Background technique [0002] In the 1980s, Strachan et al. used the black body of 353K (80°C) as the background, and used infrared thermal imaging technology to observe the butane ejected from the pipeline. At this time, infrared thermal imaging technology began to be used in the field of gas detection. At present, with the improvement of the performance of infrared detector arrays, the passive infrared imaging technology and products of gas leakage in developed countries in Europe and the United States have developed rapidly, and have been widely used in gas leakage detection and pollutant emission monitoring in petrochemical, oil refining, electric power and other industries. . However, passive gas l...

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): G06T5/00
Inventor 王岭雪李家琨高岳金伟其
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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