Traffic sign intelligent identification method and system

A traffic sign and intelligent recognition technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of traffic sign image distortion, inaccurate processing results, and reduce the accuracy of traffic sign recognition, so as to improve the accuracy , the effect of reducing the chance of image distortion

Pending Publication Date: 2020-12-18
SHENZHEN TECH UNIV
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to provide a traffic sign intelligent recognition method and system, which aims to solve the problem that the collected traffic sign images in the prior art will be distorted, thus making the subsequent processing results inaccurate and reducing the traffic sign recognition. technical issues with the accuracy of

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
  • Traffic sign intelligent identification method and system
  • Traffic sign intelligent identification method and system
  • Traffic sign intelligent identification method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described The embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0018] see figure 1 , is a traffic sign intelligent recognition method, comprising: S1, performing noise reduction preprocessing on the collected image to obtain a preprocessed image; S2, performing traffic sign detection and segmentation on the preprocessed image, and obtaining the traffic sign image to be processed Recognize the image; S3....

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 traffic sign intelligent identification method, which is used for identifying a traffic sign, and solves the technical problems that a subsequent processing result is inaccurate and the accuracy of traffic sign identification is reduced due to distortion of an acquired traffic sign image in the prior art. The method comprises the following steps: carrying out noise reduction preprocessing on an acquired image to obtain a preprocessed image; performing traffic sign detection and segmentation on the preprocessed image to obtain a to-be-identified image of the traffic sign image; and identifying the image to be identified. According to the traffic sign identification method and device, the collected images are subjected to noise reduction processing, so that the distortion probability of the collected images is reduced, the accuracy of subsequent processing results is improved, and the accuracy of traffic sign identification is improved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a traffic sign intelligent recognition method and system. Background technique [0002] Traffic sign recognition technology is an important part of intelligent transportation systems, and has broad application prospects in driver assistance systems, driverless cars and other fields. [0003] Traffic sign recognition technology requires the use of image processing methods to eliminate useless information in the collected traffic sign images. [0004] However, because the traffic signs in the natural scene are affected by many outdoor complex natural environments, motion blur and the geometric structure of the signs themselves, the collected traffic sign images will be distorted, which makes the subsequent processing results inaccurate and reduces the accuracy of traffic signs. Accuracy of recognition. Contents of the invention [0005] The main purpose of the p...

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): G06K9/00G06K9/40G06K9/42G06K9/46G06K9/62
CPCG06V20/582G06V10/32G06V10/30G06V10/44G06V10/56G06F18/22
Inventor 黄北贵赵汇诗张锦鑫
Owner SHENZHEN TECH 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