基于角点检测与颜色连贯性分析的车牌定位算法  

LOCATING VEHICLE LICENSE PLATE BASED ON CORNER DETECTION AND REGIONAL COLOUR COHERENCE

作　　者：胡振邦[1] 蔡之华[1] 

机构地区：[1]中国地质大学计算机学院,湖北武汉430074

出　　处：《计算机应用与软件》2012年第7期63-66,共4页Computer Applications and Software

基　　金：高等学校博士学科点基金项目(2009AA12Z117)

摘　　要：针对低分辨率视频图像,提出一种基于角点检测与颜色连贯性分析的快速车牌定位算法。考虑到车牌具备固定的颜色连贯性特点,首先由车牌背景颜色与车牌字体颜色得出分析掩膜;然后使用较小的阈值和最小角点间距计算得出掩膜内角点;最后对角点进行颜色加权,选择权值最大的分析区域。该方法对图像噪声具有极好的抗干扰性,适用于分辨率较低的视频图像数据。实验表明与其他方法相比,该方法的车牌定位准确率高,平均耗时短。Considering the problems with regard to low resolution video images, a vehicle license plate locating method based on comer detection and regional colour cohel^enee is put forward. First, taking into acount the characteristic of fixed colour coherence the vehicle license plate has,the analysis mask is obtained from background colour and fonts colour of the license plate, and then the smaller threshold and minimum comer points spacing are employed to calculate comer points within the mask. At last, the comer points are weighted with eolour, and the analysis region with largest weights is chosen. This method has excellent performance for image noise in anti-jamming and is suitable for low resolution video image data. Experimental results show that, comparing with other methods, this one locates the vehicle plates with higher accuracy and less time cost.

关 键 词：车牌定位角点检测 角点加权 字符角点 颜色连贯性 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]