车牌检测中小波变换改进算法  

Improved Algorithm for Wavelet Transform in Vehicle License Plate Detection

作　　者：周玮[1] 宋启祥[1] 

机构地区：[1]宿州学院信息工程学院,安徽宿州234000

出　　处：《蚌埠学院学报》2017年第6期26-29,共4页Journal of Bengbu University

基　　金：宿州学院重点科研项目(2016YZD10);安徽省教育厅自然科学项目(KJ2016A769)

摘　　要：为了解决智能交通中的车牌监测问题,改进了基于小波变换和索贝尔算子的车牌检测系统,设计了车牌检测系统的总体架构,采用最大极值逼近的非正交多维小波变换的二维图片降噪方法预处理车牌,最后给出了基于图像边缘检测的车牌定位设计。实验仿真表明,小波变换和边缘检测的车牌检测系统精确度较好,有着一定的应用价值。In order to solve the problem of vehicle license plate monitoring in intelligent transportation,a vehicle license plate detection system was improved based on wavelet transform and Sobel operator.The overall architecture of the license plate detection system was designed and the method of two-dimensional image denoising using the maximum extremum approximation of the non orthogonal multidimensional wavelet transform was used to preprocess the license plate.A license plate location design based on image edge detection was given.The simulation results showed that the license plate detection system with wavelet transform and edge detection has good accuracy and has important application value.

关 键 词：边缘检测 小波变换 字符识别 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]