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Violation line pressing discrimination method based on improved Canny edge detection algorithm

An edge detection algorithm and discrimination method technology, applied in computing, computer parts, character and pattern recognition, etc., can solve the problems of missing edges, difficult to determine high and low thresholds, increase the amount of experimental training, and achieve precise edge positioning and positioning. accurate effect

Active Publication Date: 2021-03-19
XUZHOU NORMAL UNIVERSITY
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  • Application Information

AI Technical Summary

Problems solved by technology

However, the traditional Canny edge detection algorithm has 1) Gaussian filtering is not self-adaptive, and it is easy to lose the edge due to excessive smoothing; 2) The positioning accuracy of the Sobel template in the horizontal and vertical directions is not high; 3) It is difficult to determine the high and low thresholds, which increases the amount of experimental training. place

Method used

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  • Violation line pressing discrimination method based on improved Canny edge detection algorithm
  • Violation line pressing discrimination method based on improved Canny edge detection algorithm
  • Violation line pressing discrimination method based on improved Canny edge detection algorithm

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Experimental program
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Embodiment 1

[0050] The specific implementation steps are as follows:

[0051] Step 1: Image preprocessing, grayscale processing is performed on the obtained experimental original image, which can improve the edge extraction speed of the system and reduce hardware resource occupation. This step is processed to obtain a grayscale image.

[0052] Step 2: Adaptive Gaussian filter to process grayscale images

[0053] (1) Obtain the best Gaussian standard deviation σ through the suppression intelligence of different difference ε, in order to satisfy the energy function requirements, where the Gaussian standard deviation σ should be as large as possible, and ε=F 0 -Q NF The difference ε between the grayscale image and the smooth image should be as small as possible, and the value of the Gaussian standard deviation σ is also smaller at this moment. The Gaussian standard deviation σ finally obtained through the above two conditions is the best value. However, because the image pixels are disc...

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Abstract

The invention discloses a violation line pressing discrimination method based on an improved Canny edge detection algorithm. The method is suitable for the automatic recognition of traffic violation.Firstly, real-time collection of road conditions is performed through an electronic eye, edge detection processing is performed on the collected road condition information through an improved Canny edge detection algorithm, and an recognized edge contour is used as a standard for judging whether line pressing is performed or not. Once the current image does not meet the standard, whether the vehicle in the image presses the line or not can be judged. The high-precision and low-cost vehicle violation judgment is realized. The method is high in detection precision, short in detection time, highin automation degree and capable of effectively reducing the occurrence rate of traffic accidents.

Description

technical field [0001] The invention relates to a method for judging illegal marking lines, in particular to a method for distinguishing illegal marking lines based on an improved Canny edge detection algorithm, which is suitable for automatic identification of traffic violations Background technique [0002] In recent years, a series of factors such as the rapid economic development, the continuous growth of the population, and the in-depth research on artificial intelligence-related fields have made the production and usage of mobility tools and vehicles reach a record high to a certain extent, which will inevitably increase. The incidence of traffic accidents has increased, and it has brought certain threats to personal life and property safety and social traffic security. Among them, the illegal marking of vehicles is the first major cause of traffic accidents, and the incidence rate is very high. Therefore, the identification system of illegal marking has high research ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T7/13
CPCG06T7/13G06T2207/30256G06V20/588
Inventor 高莉肖雅萍尹娜陈志鹏
Owner XUZHOU NORMAL UNIVERSITY