A method for segmenting traffic guide sign images

A technology of guiding signs and images, which is applied in the field of image processing, and can solve the problems of difficult detection and recognition of guiding signs

Active Publication Date: 2019-03-08
ZHONGBEI UNIV
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  • Summary
  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is: how to solve the difficult problem of detection and identification in the guide signs

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] A method for segmenting images of traffic guide signs, carried out according to the following steps

[0019] Step 1, feature extraction, utilize digital camera to collect the guide sign image in the actual road, the guide sign image picture that gathers is grayscaled to form gray scale picture I, adopt MSER feature extraction method, after extracting MSER characteristic value, will The MSER area is marked;

[0020] 1. Think of the grayscale image I as a kind of mapping, I: D represents the area in the image, Z represents the matrix, S represents the pixel point value of the grayscale image, S is a total order, and S={0, 1,...,255}, the neighborhood relationship is satisfied, Using 8 neighborhoods, that is, if , then p, q∈D are adjacent, expressed as pAq, A is a certain area of ​​the image, p, q is the coordinate value of any pixel in A, i is a positive integer, p i ,q i is the coordinate value of any point within the value range of p and q in A, and d is the valu...

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Abstract

The invention relates to the technical field of image processing in machine vision. A method for segmenting a traffic guide sign image comprises the following steps of 1 extracting features;2 extracting that geometrical features and the character interval of the guide mark image from the MSER region, extracting the geometrical features on the basis of the MSER eigenvalue, and deleting the non-conforming features; 3 extracting blob features of the guide mark image, scanning the image line by line from the first line of the binary image, and counting non-zero clusters in the guide mark binary image. The method of the invention divides the guiding signs in the road, especially in the urban road, and lays a foundation for detecting and recognizing the traffic signs for the development of the intelligent traffic, especially for the auxiliary driving and even the unmanned driving.

Description

technical field [0001] The invention relates to the technical field of image processing in machine vision. Background technique [0002] As an important auxiliary facility for road safety, traffic signs play an important role in regulating traffic behavior, indicating road conditions, ensuring road efficacy, guiding pedestrians, and driving safely. Automatic recognition of traffic signs is an important part of intelligent transportation. The traffic signs on the road are pre-detected, automatically recognized, and the recognition result information is transmitted to the driver in time, which will make driving safer and easier, and play a role in safe driving. Positive effect, greatly reducing the accident rate. The traffic signs on the road are exposed to the outdoors for a long time. Due to the influence of bad weather or man-made damage, the color of the sign surface will be degraded and stained; In the outdoor environment, the lighting conditions are changing and uncont...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/187
CPCG06T2207/10004G06T7/11G06T7/187
Inventor 赵俊梅张利平任一峰
Owner ZHONGBEI UNIV
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