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

Road detection method based on edge feature

A road detection and edge feature technology, applied in the field of image processing, can solve the problems of poor environmental adaptability, poor real-time performance, and no road detection method, etc., and achieve the effect of high detection accuracy and strong anti-interference

Active Publication Date: 2014-02-12
中科极限元(杭州)智能科技股份有限公司
View PDF5 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods generally have the defects of poor environmental adaptability or poor real-time performance, and there is still no very effective road detection method

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
  • Road detection method based on edge feature
  • Road detection method based on edge feature
  • Road detection method based on edge feature

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0027] figure 1 is a flowchart of the road detection method based on edge features of the present invention, such as figure 1 Shown, described road detection method based on edge feature comprises the following steps:

[0028] Step 1, for the target image, use edge gradient operators in multiple directions to calculate multiple gradient images, calculate an automatic threshold based on the multiple gradient images, and perform binary calculation on the multiple gradient images according to the automatic threshold. value processing to obtain multiple preliminary road edge images;

[0029] figure 2 Is the flow chart of the steps to obtain the gradient image, such as figure 2 As shown, the step 1 further includes the f...

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 road detection method based on an edge feature. The method comprises steps as follows: as for a target image, edge gradient operators are adopted for calculation to obtain multiple gradient images, binarization processing is performed on the multiple gradient images, and multiple preliminary road edge images are obtained; a connected region with the number of pixels smaller than a threshold value in the multiple preliminary road edge images is removed on the basis of the automatically acquired threshold value, and road edge images in multiple directions are obtained; road edge information of the road edge images in the multiple directions is integrated into the same image, a road pixel area is squeezed in the principle that two sides of the road have similar edges, and a preliminary road image is obtained; and road regions are connected through a growing algorithm based on line fitting, some non-road regions are removed according to the ratio of the length and the width of each road region, and finally, a detected road is obtained. The method is suitable for automatic road detection of aerial photo images and has the advantages of high detection accuracy, good real-time performance, good anti-interference performance and the like.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a road detection method based on edge features. Background technique [0002] For decades, researchers at home and abroad have done a lot of research work on road detection and proposed many effective algorithms for road detection. These methods can be divided into semi-automatic methods and automatic methods from the processing strategy. The semi-automatic method requires the user to provide some information interactively to control the extraction of roads. Since the semi-automatic method makes full use of the user's interactive information, the result of road extraction is generally more stable, but it is difficult for real-time requirements or people to participate. The occasion is not competent; the automatic method usually first obtains road segments through straight line and edge detection, and then establishes connections between these road segments t...

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): G06K9/46
Inventor 陶建华杨明浩巢林林时荔蕙马传焱
Owner 中科极限元(杭州)智能科技股份有限公司
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