Method for positioning circular traffic signs in natural scene

Abstract

The invention discloses a method for positioning circular traffic signs in a natural scene. The method comprises the steps of A, transforming an original image into an HSV color model, and determining a candidate region which possibly contains the circular traffic signs; B, performing binarization processing and median filtering; C, determining candidate pixel points located at the edge of the candidate region by using a Susan operator; D, respectively calculating the gradient direction of each edge point by using a Sobel operator; E, searching a set of all edge point groups meeting pole and polar line properties of an ellipse; F, solving all elliptic equations by using a general equation of the ellipse, and adding corresponding ellipses to an ellipse candidate set; and G, removing ellipses which do not actually exist from the ellipse candidate set, and regarding the finally reserved ellipses to be positions at which the finally positioned circular traffic signs are located. Sub-regions corresponding to circular traffic signs in an image can be accurately positioned in a complicated natural scene according to the method disclosed by the invention, and the positioning efficiency and he positioning precision are greatly improved.

Description

technical field [0001] The invention relates to a positioning method of a traffic sign, in particular to a positioning method of a circular traffic sign in a natural scene. Background technique [0002] Cars are one of the indispensable means of transportation in modern society. The large-scale popularization of automobiles has also brought a series of traffic problems, especially traffic jams. The intelligent transportation system applies advanced technologies such as intelligent control technology, communication technology, sensor technology, artificial intelligence and pattern recognition to transportation and intelligent dispatching, thus forming an automatic, intelligent, efficient and convenient transportation dispatching and management system. [0003] Traffic sign recognition is a scientific problem that intelligent transportation systems must solve. Traffic sign recognition consists of two subtasks: localization of traffic signs in images and identification of the...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a circular traffic sign positioning method in a natural scene, which can accurately locate the sub-region corresponding to a circular traffic sign in an image in a relatively complex natural scene, effectively overcoming the limitations of existing positioning methods. The defects of low positioning success rate caused by image deformation greatly improve the positioning efficiency and positioning accuracy

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