Tunnel surface two-dimensional laser image enhancement processing method

A two-dimensional laser and image enhancement technology, which is applied in the field of image processing, can solve problems such as noise, image quality, and less tunnel images, and achieve the effect of improving coordination and enhancing the effect of detailed information

Active Publication Date: 2019-10-25
FUJIAN AGRI & FORESTRY UNIV +1
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The Laplace transform can get the outline of the image, so as to enhance the image. The disadvantage is that it will generate noise during the change process, which will affect the quality

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
  • Tunnel surface two-dimensional laser image enhancement processing method
  • Tunnel surface two-dimensional laser image enhancement processing method
  • Tunnel surface two-dimensional laser image enhancement processing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0071] In this embodiment, the road detection vehicle adopts a high-performance vehicle-mounted computer to cooperate with various sensors to collect data and store data, and adopts automatic data collection; the collection speed of the detection vehicle can reach 80km / h; each time the collection span is 1 / 2 of the tunnel wall, the detection The car is equipped with 16 cameras, and after the collection is completed, the images collected by the cameras are stitched according to the position;

[0072] The lighting in the tunnel will affect the quality of the image acquisition, causing the image to appear exposed. According to step S2, the process of eliminating partial exposure is carried out:

[0073] Step S21: sort the gray value of the two-dimensional laser image on the surface of the tunnel to be measured from small to large;

[0074] Step S22: the pixel is not adjusted under the 5th percentile, and the pixel points exceeding the 5th percentile adjust the gray value accordin...

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 tunnel surface two-dimensional laser image enhancement processing method. The method comprises the following steps of S1, collecting a to-be-detected tunnel surface two-dimensional laser image; S2, determining an exposure elimination algorithm threshold value according to the pixel value characteristics of the two-dimensional laser image on the surface of the tunnel to be detected; S3, performing histogram equalization processing on the two-dimensional laser image of the surface of the tunnel to be measured to obtain an equalized two-dimensional laser image; S4, enhancing the equalized two-dimensional laser image target features according to a Laplace enhancement algorithm, eliminating image noises through Gaussian filtering, and acquiring a processed two-dimensional laser image; S5, recognizing image splicing seam position information according to the processed two-dimensional laser image; S6, according to the image splicing seam position information, adopting a gray value processing algorithm to eliminate a splicing seam, and acquiring an enhanced two-dimensional laser image. According to the invention, the coordination of the high pixel domain and thelow pixel of the image can be effectively improved, and the detail information effect of the tunnel image is enhanced.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a two-dimensional laser image enhancement processing method on the surface of a tunnel. Background technique [0002] At present, image enhancement algorithms are divided into two categories: spatial domain method and frequency domain method. The spatial domain method adjusts the central pixel by analyzing the influence of local pixels on the central pixel. The representative algorithm has histogram equalization. The advantage of histogram equalization is that it can display better details in overexposed or underexposed photos. The disadvantage is that it does not select the processed data, which may increase the contrast of background noise. Thereby reducing the contrast of the useful signal, reducing the transformed gray level, and some information disappears. The frequency domain method is to modify the transformation coefficient of the image through certain rules, and then pe...

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): G06T5/00G06T5/20
CPCG06T5/002G06T5/20G06T2207/10004G06T2207/30132
Inventor 罗文婷李林胡辉
Owner FUJIAN AGRI & FORESTRY UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap