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Traffic sign detection method based on classification template matching

A traffic sign, template matching technology, applied in character and pattern recognition, instruments, computer parts and other directions, can solve the problems of high light and image quality requirements, complex operation process, poor real-time performance, etc., to achieve high real-time performance and accuracy , reduce interference information, good real-time effect

Inactive Publication Date: 2012-12-12
NO 8357 RES INST OF THE THIRD ACADEMY OF CHINA AEROSPACE SCI & IND
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AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is that the existing traffic sign recognition method has complex operation process, poor real-time performance and high requirements on light and image quality, and provides a traffic sign detection method based on classification template matching

Method used

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  • Traffic sign detection method based on classification template matching
  • Traffic sign detection method based on classification template matching
  • Traffic sign detection method based on classification template matching

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Embodiment Construction

[0039] A kind of traffic sign detection method based on classification template matching provided by the present invention is introduced below in conjunction with accompanying drawing and embodiment:

[0040] Such as figure 1 As shown, a traffic sign detection method based on classification template matching includes the following steps:

[0041] (1) Segment different color regions of the region of interest, and classify traffic signs by color.

[0042] Since the captured image usually contains not only traffic signs but also road scenery and other information, effective and recognizable traffic signs always appear in a certain area of ​​the captured image, so the region of interest is set for the image; and commonly used signs can be pressed The colors are divided into red prohibition signs, blue indication signs, yellow warning signs and black signs (such as lifting speed limit signs), etc., and the first step can be classified by color in turn.

[0043] When performing co...

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Abstract

The invention belongs to the technical field of machine vision and image processing and in particular relates to a traffic sign detection method based on classification template matching. The problems that the conventional traffic sign identification method is complex in operation process, low in real-time property and high in light and image quality requirements are solved. The method comprises the following steps of: segmenting areas containing traffic signs in a photographed image according to different color areas, namely classifying the traffic signs according to colors; (2) screening communicating areas in the image through the shape and area characteristics after the color classification, and positioning the sign area; and (3) identifying through a template matching method. The method has high operability and is insensitive to the light change, and when a source image is blurred, a high identification accuracy rate can be guaranteed, and the method is high in real-time property and can be used for an automatic traffic sign detection device on a vehicle.

Description

technical field [0001] The invention belongs to the technical field of machine vision and image processing, and in particular relates to a traffic sign detection method based on classification template matching. Background technique [0002] As urban traffic problems become more and more serious, intelligent transportation technology has become a current research hotspot and development trend. Intelligent transportation technology has provided great help for traffic congestion and safe driving of vehicles. The automatic detection and recognition technology for traffic signs is a key technology in the field of intelligent transportation. [0003] The current traffic sign detection methods mainly include recognition through classification and recognition through traditional template matching methods. Classification recognition method Color, shape and other features combined with neural network and other algorithms to subdivide step by step, and finally determine what kind of...

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Application Information

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IPC IPC(8): G06K9/00G06K9/34
Inventor 汤晓磊刘同林许朋飞张典国
Owner NO 8357 RES INST OF THE THIRD ACADEMY OF CHINA AEROSPACE SCI & IND
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