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

Edge vector line extraction algorithm of binary image of road surface

A binary image and vector line technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of intelligent extraction of multi-scale linear boundary feature points, unsolved boundary polygon problems, etc., and achieve fast calculation speed , strong regularity, and low memory overhead

Active Publication Date: 2016-04-06
四川正达检测技术有限责任公司
View PDF4 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The boundary vectorization extraction of the abnormal gray area of ​​the road surface binarization image that appears at present cannot carry out the intelligent extraction of multi-scale linear boundary feature points, because the pixel boundary generally presents a very complex arbitrary line shape, and it is difficult to find out The boundary polygon problem of a binary image with a higher approximation degree at a certain scale level has not been solved

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
  • Edge vector line extraction algorithm of binary image of road surface
  • Edge vector line extraction algorithm of binary image of road surface
  • Edge vector line extraction algorithm of binary image of road surface

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The present invention will be described in further detail below by means of specific embodiments:

[0035] Such as figure 1 Shown is the flow chart of the binary image edge vector line extraction of the present embodiment, the edge vector line extraction algorithm of the road surface binary image of the present embodiment, comprises the following steps:

[0036] Step 1: Obtain black and white digital images of the road surface through the road surface detection vehicle.

[0037] The second step: extract the binary image of the diseased area from the black and white digital image:

[0038] Image preprocessing, including grayscale transformation, image denoising;

[0039] The pixel selection is based on the setting of the discrimination condition of the pixel gray value;

[0040] 3) Initial binary image generation, image segmentation grayscale or spectral threshold, set the pixels that do not meet the conditions to 0, and set the pixels that meet the conditions to 1; ...

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 an edge vector line extraction algorithm of the binary image of a road surface disease gray scale abnormal area of the black and white image of a road surface. With the algorithm adopted, automatic extraction of multi-approximation level vectorized boundary polygons is performed on the boundary pixels of a binarized pattern spot which is generated after image processing. The algorithm has the advantages of controllability in boundary approximation, high regularity, suitability for computer calculation and the like; the polygon data of the boundaries of the binarized image, which are extracted by the algorithm, can be used for data conversion of a geographic information system, automatic map compilation, image automatic identification including identification and extraction of a CCD image disease area of a road surface, spectral feature range identification of remote sensing images, and the like.

Description

technical field [0001] The invention relates to a geographic information system and image processing and information extraction technology, in particular to an edge vector line extraction algorithm of a road surface binary image. Background technique [0002] Highway is an important infrastructure for the development of the national economy. With the development of the highway transportation industry, people put forward higher requirements for the quality of the road surface and its maintenance. Traditional manual inspection methods have disadvantages such as low efficiency, impact on traffic, time-consuming, labor-intensive, and imprecise, and can no longer meet the requirements of the rapid development of highways. The method of detecting road surface diseases (such as damage, cracks, etc.) through the extraction, processing and analysis of the surface image has gradually become an important means of road surface detection. [0003] We know that digital image data for obs...

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): G06K9/34G06K9/46G06T7/00
CPCG06T7/0002G06T2207/10004G06V10/267G06V10/44
Inventor 冯晓
Owner 四川正达检测技术有限责任公司
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