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Method of license plate location based on edge detection and color information

机译:基于边缘检测和颜色信息的车牌定位方法

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摘要

A new method of license plate location is designed in the paper and it is divided into two steps, which are rough location step based on gray image processing and precise location step based on color image processing. Firstly, the color car image is converted to the gray one from which horizontal and vertical edge images are extracted using Haar wavelet and Gabor filter. The rough location is achieved based on the specific projection features of these edge images. Then the color plate image roughly located by the first step is converted to HSI space. The binary image is obtained through the threshold segmentation method according to the color information of license plate. The plate's precise position parameters are determined through making projection analysis of the binary image. The simulation result shows that the location method in this paper is efficient and effective.
机译:本文设计了一种新的车牌定位方法,分为两步,分别是基于灰度图像处理的粗定位步骤和基于彩色图像处理的精确定位步骤。首先,将彩色汽车图像转换为灰色图像,然后使用Haar小波和Gabor滤波器从中提取水平和垂直边缘图像。基于这些边缘图像的特定投影特征来实现粗略定位。然后,将第一步大致定位的色板图像转换为HSI空间。根据车牌的颜色信息,通过阈值分割方法得到二值图像。通过对二值图像进行投影分析来确定印版的精确位置参数。仿真结果表明,本文的定位方法是有效的。

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