A method of light reflection detection based on monocular vision

A monocular vision and lighting technology, applied in the fields of instruments, character and pattern recognition, computer parts, etc., can solve the problems of lighting and reflection interference, and achieve the effect of small detection impact, few false alarms, and low running time complexity.

Active Publication Date: 2017-05-10
CETHIK GRP
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the above disadvantages, the present invention aims to provide a method for detecting light reflections based on monocular vision, so as to solve the problem of light and reflection interference in traffic images in the prior art

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
  • A method of light reflection detection based on monocular vision
  • A method of light reflection detection based on monocular vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0023] Embodiment 1: as figure 1 As shown, a method of light reflection detection based on monocular vision includes the following steps:

[0024] S101. Setting the detection area through camera calibration:

[0025] Specifically, the camera is installed on the windshield behind the rearview mirror, and the size of the obtained image is W in width and H in height. After the calibration is completed, the position of the vanishing point VanishPoint is obtained, and the area of ​​interest is defined as the road area in front of the camera. From the front to the vanishing point, the lateral direction is 4 meters on both sides of the central axis, a triangular region of interest formed by the vanishing point and the boundary points 4 meters on both sides.

[0026] S102. Perform edge detection on the grayscale image;

[0027] For the acquired grayscale image, the Canny algorithm is used to detect the edge of the image. The optimal segmentation threshold SegThresh is calculated by...

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 the field of intelligent traffic and image processing, in particular to a lamplight inverted image detection method based on monocular vision. The lamplight inverted image detection method based on monocular vision includes the steps that (1) a gray level image of an image frame shot by a camera is extracted, and an area of interest is determined; (2) edge detection is carried out on the grey level image within the area of interest to obtain an edge binary image; (3) the edge binary image is searched for target points in a traversal mode to obtain a target point pair, and the area between the target point pair is filled to obtain an enhanced image; (4) a search area is marked out within the enhanced image, and projection is carried out within the search area to obtain a division area; (5) gradual change analysis is carried out on mutation areas within the division area; (6) lamplight inverted image verification and judgment are carried out on the mutation areas not meeting the gradual change, and a result is output. The lamplight inverted image detection method based on monocular vision has the advantages of being capable of rapidly determining most lamplight and lamplight inverted image interference areas, low in false alarm rate, low in complexity of operating time, free of daylight and night limitation and small in influence on lane line detection.

Description

technical field [0001] The invention relates to the fields of intelligent transportation and image processing, in particular to a method for detecting light reflections based on monocular vision. Background technique [0002] In recent years, intelligent transportation has become a hot field, among which lane line detection is an important part of the lane departure warning system and an important link in the realization of intelligent transportation. Lane line recognition is to obtain video images from the camera, separate the lane line from the background according to the color, shape and texture of the lane line, and obtain the direction of the lane line. Lane line detection will be subject to a lot of interference, especially when the weather conditions and road conditions are complex, the light reflections in the image will interfere with the detection of other targets, and these lights and their reflections must be removed. The current research on lighting mainly focu...

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): G06K9/60
Inventor 严江江赵彦隽沈燕李玲陈群
Owner CETHIK GRP
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