License plate positioning method based on edge detection and mathematical morphology

Abstract

The invention relates to a license plate positioning method based on edge detection and mathematical morphology, which belongs to the technical field of image processing and comprises the following steps of: S1, graying a vehicle image by adopting a weighted average method; S2, carrying out binarization on the vehicle image; and S3, carrying out edge detection on the binarized vehicle image by adopting a Sobel edge detection operator, wherein the Sobel edge detection operator is used for obtaining a coarsely positioned license plate area, and introducing a local area into the Sobel edge detection operator to carry out mean value operation, and S4, carrying out accurate positioning on the coarsely positioned license plate area by adopting related operation of mathematical morphology; s5, labeling the accurately positioned connected region, and displaying a license plate region. According to the method, the limitation on the size of the license plate and the position of the license platein the image is little, so that the method does not depend on an accurate license plate frame shape, so that higher positioning effectiveness is ensured.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to the field of license plate positioning image processing, and specifically refers to a method for realizing license plate positioning processing based on image processing technology. Background technique [0002] License plate location is to segment the license plate area from the vehicle image. The relatively mature license plate location methods at this stage include: methods based on texture analysis, methods based on edge detection, color information methods based on images, methods based on mathematical morphology, methods based on neural networks, and methods based on genetic algorithms. The analysis method needs to preprocess the image before positioning to increase the contrast of the image. Due to the variety of license plate colors in our country and the influence of light, it is necessary to convert the color image into a grayscale image first, and then use the two-dime...

AI Technical Summary

Problems solved by technology

However, this method has a poor positioning effect when there are fake license plates in the image.

[0006] In order to overcome the currently commonly used license plate location method, which is easily affected by color, lighting conditions, and interference under complex backgrounds, a license plate location method based on edge detection and mathematical morphology is proposed in this paper.

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