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

An Adaptive Enhancement Method of Tunnel Surface Image Based on Histogram

An adaptive enhancement, surface image technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of subway tunnel image noise, poor image quality, etc., to enhance the original texture details, remove noise, The effect of avoiding the error of subway tunnel disease analysis

Active Publication Date: 2022-02-11
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a histogram-based tunnel surface image adaptive enhancement method to solve the problems in the prior art due to vibration during the movement of the mobile scanning device and electromagnetic interference between equipment and electrical appliances. Some noise or poor image quality are common in subway tunnel images

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 Adaptive Enhancement Method of Tunnel Surface Image Based on Histogram
  • An Adaptive Enhancement Method of Tunnel Surface Image Based on Histogram
  • An Adaptive Enhancement Method of Tunnel Surface Image Based on Histogram

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] In order to further clarify the working principle and working process of the present invention, the method of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0034] The present invention provides a histogram-based tunnel surface image self-adaptive enhancement method, the flow chart of which is as follows figure 1 As shown, it specifically includes the following steps:

[0035] S1. Acquire the image data of the surface of the subway tunnel: obtain the image of the surface of the subway tunnel through the image acquisition device, and the obtained initial image is as follows: figure 2 As shown in , the acquired tunnel surface images are preliminarily screened, and reflectance images with no missing and rich texture information are selected; among them, the conditions for preliminary screening of the acquired tunnel surface images are: after the image is acquired, the image Images with mis...

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 tunnel surface image self-adaptive enhancement method based on a histogram, comprising the following steps: S1. Acquiring subway tunnel surface image data; S2. Adaptive denoising correction of the image histogram; S3. Equalization of the image histogram; S4. Image detail enhancement. A histogram-based tunnel surface image adaptive enhancement method of the present invention can effectively remove the noise in the tunnel reflection image, greatly reduce the influence of external factors on the follow-up subway tunnel disease analysis and detection, and can also be more effective. It avoids errors in subway tunnel disease analysis caused by noise, improves the efficiency and accuracy of image analysis, and better enhances the original texture details of reflection images, making them rich in detail feature information.

Description

technical field [0001] The invention relates to the technical fields of computer vision, image processing and analysis, etc., and specifically relates to an image self-adaptive enhancement method for tunnel surface images. Background technique [0002] In recent years, with the progress of our society and the development of our economy, our country has built a large number of railway tunnels for people to travel. However, my country’s existing operating tunnels have different construction years, different construction standards, and low maintenance standards. Some tunnels have quality defects when they are completed. Therefore, the overall technical status of the tunnels is poor. Timely and accurate long-term deformation monitoring and disease investigation must be carried out In order to detect and forecast danger in time and ensure the safety of tunnel operation. [0003] The traditional tunnel quality inspection method is mainly based on manual inspection, and the results...

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): G06T5/00G06T5/40
CPCG06T5/002G06T5/40G06T2207/10004G06T2207/30108
Inventor 汪俊邓森李大伟谢以顺王飞球王浩
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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