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

Mine fog and dust image enhancement method based on dark channel prior and homomorphic filtering

A dark channel prior and homomorphic filtering technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of high fog and dust concentration, uneven illumination, etc.

Inactive Publication Date: 2020-03-10
CHINA UNIV OF MINING & TECH (BEIJING)
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method for image enhancement in coal mines, which is used to solve the problems of high fog and dust concentration and uneven illumination in mines

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
  • Mine fog and dust image enhancement method based on dark channel prior and homomorphic filtering
  • Mine fog and dust image enhancement method based on dark channel prior and homomorphic filtering
  • Mine fog and dust image enhancement method based on dark channel prior and homomorphic filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] In order to make the content and advantages of the technical solution of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0063] The present invention proposes a mine fog and dust image enhancement scheme based on the dark channel prior model and homomorphic filtering, and its execution process is as follows:

[0064] Step 1. The method to obtain the dark primary color map of the fog and dust image in the coal mine is as follows:

[0065] In computer vision and computer graphics, the formation model of fog and dust images can usually be described by the following equation, where I(x, y) is the image to be defogged, and J(x, y) is the fog-free image after defogging Image, A is the global atmospheric light component, t(x, y) is the transmittance:

[0066] I(x,y)=J(x,y)t(x,y)+A(1-t(x,y))

[0067] This empirical rule is obtained by observing a large number of outdoor fog-free...

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 mine fog and dust image enhancement method based on dark channel prior and homomorphic filtering. The mine fog and dust image enhancement method comprises the steps: 1,solving a dark channel image of a coal mine underground fog and dust image; 2, estimating atmospheric light by adopting a dark primary color value in an underground coal mine environment; 3, solving the rough transmissivity of the image according to the dark primary color graph; 4, obtaining a defogged image by using a defogged image restoration formula; and 5, processing the defogged and dedusted imageby adopting an improved homomorphic filtering scheme to obtain a final image. Compared with other existing underground coal mine fog and dust image enhancement methods, the definition of the fog anddust image can be effectively improved, the contrast ratio and details are enhanced, the influence of uneven illumination under a coal mine is reduced in a targeted mode, the image is close to original characteristics, the outline is clearer, and the enhancement effect is obvious when an area with a serious fog and dust phenomenon is processed.

Description

technical field [0001] The invention relates to the field of image enhancement, in particular to an image enhancement method for underground coal mines. Background technique [0002] Coal is the main energy source in my country. Coal mines are widely distributed in China. An important issue restricting the development of my country's coal industry is the safety of coal mine production. The development of coal mine automation and information technology is an inevitable choice for the coal mine safety production system. With the continuous popularization of intelligent video surveillance system and digital image acquisition equipment, using image technology to carry out safe production is a hot research direction in the development of coal mine industry. Although the use of image technology for safe production has incomparable advantages over traditional production technologies, the special environment in coal mines has brought severe challenges to the application of images in...

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
IPC IPC(8): G06T5/00
CPCG06T2207/10004G06T2207/20056G06T5/73
Inventor 刘晓阳吴迎旭
Owner CHINA UNIV OF MINING & TECH (BEIJING)
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