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Traffic sign detection method based on orthogonal Gauss-Hermite moment

A detection method and technology for traffic signs, which are applied in image data processing, instruments, calculations, etc., can solve problems such as less research on road traffic sign recognition.

Inactive Publication Date: 2017-02-22
ZUNYI NORMAL COLLEGE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Research on road recognition and collision recognition is earlier, and many good results have been achieved, but less research on road traffic sign recognition

Method used

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  • Traffic sign detection method based on orthogonal Gauss-Hermite moment
  • Traffic sign detection method based on orthogonal Gauss-Hermite moment
  • Traffic sign detection method based on orthogonal Gauss-Hermite moment

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Embodiment Construction

[0019] A traffic sign detection method based on orthogonal Gauss-Hermit moments, comprising the following steps:

[0020] Step 1: Obtain the image I(x,y) of the region of interest;

[0021] Step 2: Convert the obtained color image into a grayscale (256-level) image f(x,y).

[0022] Let the three color components of (x,y) point be (R, G, B), then

[0023] f(x,y)=0.3R(x,y)+0.59G(x,y)+0.11B(x,y), this method directly calls the library function

[0024] I(x,y)=rgb2gray(I);

[0025] Step 3: Calculate the OGHM along the X direction and the Y direction, that is, first calculate the moment in the horizontal direction Where n=2k+1, k=0,1,2,..., then calculate the moment in the vertical direction, that is a 2i+1 is a constant; in our algorithm, σ is taken as 5; in the specific implementation, we replace the first-order moment with the first-order difference of the filtered image, and the third-order moment with the linearity of the first-order difference and third-order differenc...

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Abstract

The invention discloses a traffic sign detection method based on an orthogonal Gauss-Hermite moment. The method comprises the following steps of: obtaining a first image of an area of interest; converting an obtained colorful image into a gray level, wherein the method directly calls a library function; independently carrying out calculation along an X direction and a Y direction, and subsequently, calculating the moment in a vertical direction, wherein in specific implementation, a first-order moment is replaced with the first-order difference of a filtered image, a third-order moment is replaced with the linear group of the first-order difference and the third-order difference of the filtered image, and an experiment only uses the third-order moment; applying an Otus method to segment the image; and citing morphological filtering to remove noise. By use of the method, an image in a traffic scene is selected to do an experiment, and an experiment result indicates that the traffic sign detection method is effective. Meanwhile, the traffic sign detection method is compared with other methods, the difference of the effects of first-order moment detection is small, the third-order moment can be further used, and the advantages of the traffic sign detection method are embodied.

Description

technical field [0001] The invention relates to a traffic sign detection method based on orthogonal Gauss-Hermite moment. Background technique [0002] With the progress of urbanization and the popularity of automobiles, the number of motor vehicles has increased significantly, traffic congestion has intensified, traffic accidents have occurred frequently, and the problems of road traffic safety and transportation efficiency have become increasingly prominent. The driver assistance system based on computer vision is one of the important measures to solve the problems of traffic safety and transportation efficiency, which makes it gradually applied in the intelligent transportation system. Its research is roughly carried out in three aspects: road recognition, collision recognition, and traffic sign recognition. The research on road recognition and collision recognition is earlier, and many good results have been obtained, but there is less research on road traffic sign reco...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/00
CPCG06T2207/20036G06T2207/20024G06T2207/10024G06T5/70
Inventor 吴有富
Owner ZUNYI NORMAL COLLEGE