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智能车牌识别系统中消除图像干扰的方法
引用本文:刘兴 蒋天发. 智能车牌识别系统中消除图像干扰的方法[J]. 武汉理工大学学报(交通科学与工程版), 2005, 29(5): 805-806
作者姓名:刘兴 蒋天发
作者单位:[1]武汉邮电科学研究院,武汉 430074 [2]中南民族大学,武汉 430073
基金项目:国家民委重点科研项目资助(批准号:Mzy02004)
摘    要:在智能车牌识别系统中,经过汽车图像的初分割,可从复杂的汽车及背景图像中分割出汽车图像,但复杂灰度图像经二值化处理后存在许多干扰白点.提出一种"高斯滤波"的方法去除这些白点,使二值化图像变得平滑、少毛刺,并具有较好的连通性.

关 键 词:图像分割 二值化图像 高斯滤波
收稿时间:2005-07-03
修稿时间:2005-07-03

Method of Eliminating Noise of Image in Intelligent Vehicle Plate Recognization System
Liu Xing, Jiang Tianfa. Method of Eliminating Noise of Image in Intelligent Vehicle Plate Recognization System[J]. journal of wuhan university of technology(transportation science&engineering), 2005, 29(5): 805-806
Authors:Liu Xing   Jiang Tianfa
Affiliation:1.Wuhan Research Institute of Posts and Telecommunication, Wuhan 430074;2.South-Central College for Nationalities, Wuhan 430073
Abstract:In the intelligent recognition system of car license plate, car image can be separated from complex car background image by preliminary separation of car image ,but in these threshold images, the complex gray image elements are translated into some white noise. This paper presents a Gauss filter method to eliminate noise of threshold images, the threshold image is changed into smooth one which has smaller burr and has better connectedness.
Keywords:image segment   threshold image    Gauss filter
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