计算机应用与软件
計算機應用與軟件
계산궤응용여연건
COMPUTER APPLICATIONS AND SOFTWARE
2014年
5期
163-167
,共5页
车标定位%纹理方向特征%边缘密度
車標定位%紋理方嚮特徵%邊緣密度
차표정위%문리방향특정%변연밀도
Vehicle-logo location%Texture directional feature%Edge density
基于先验知识,根据车牌与车标的相对位置关系,首先对车标进行粗定位,得到包含车标图案的矩形粗定位区域。为了利用车标背景散热片的纹理方向特征,引入纹理方向测度的概念。根据纹理测度将散热片纹理分为两大类:类水平纹理和垂直纹理。在精定位阶段,对于不同的纹理类型采用不同的定位方法:对于类水平纹理,采用动态模板定位边界,对复杂水平纹理和复杂网状纹理具有良好的定位效果;对于垂直纹理,引入边缘颗粒度的概念,既有效地消除非车标区域的噪声点,又完整地保留车标本身的信息。实验结果表明,该方法鲁棒性好,能够快速、准确地定位车标位置,平均成功定位率为97%,在测试环境下平均定位时间为22 ms,定位效率和定位成功率能满足实时系统的需要。
基于先驗知識,根據車牌與車標的相對位置關繫,首先對車標進行粗定位,得到包含車標圖案的矩形粗定位區域。為瞭利用車標揹景散熱片的紋理方嚮特徵,引入紋理方嚮測度的概唸。根據紋理測度將散熱片紋理分為兩大類:類水平紋理和垂直紋理。在精定位階段,對于不同的紋理類型採用不同的定位方法:對于類水平紋理,採用動態模闆定位邊界,對複雜水平紋理和複雜網狀紋理具有良好的定位效果;對于垂直紋理,引入邊緣顆粒度的概唸,既有效地消除非車標區域的譟聲點,又完整地保留車標本身的信息。實驗結果錶明,該方法魯棒性好,能夠快速、準確地定位車標位置,平均成功定位率為97%,在測試環境下平均定位時間為22 ms,定位效率和定位成功率能滿足實時繫統的需要。
기우선험지식,근거차패여차표적상대위치관계,수선대차표진행조정위,득도포함차표도안적구형조정위구역。위료이용차표배경산열편적문리방향특정,인입문리방향측도적개념。근거문리측도장산열편문리분위량대류:류수평문리화수직문리。재정정위계단,대우불동적문리류형채용불동적정위방법:대우류수평문리,채용동태모판정위변계,대복잡수평문리화복잡망상문리구유량호적정위효과;대우수직문리,인입변연과립도적개념,기유효지소제비차표구역적조성점,우완정지보류차표본신적신식。실험결과표명,해방법로봉성호,능구쾌속、준학지정위차표위치,평균성공정위솔위97%,재측시배경하평균정위시간위22 ms,정위효솔화정위성공솔능만족실시계통적수요。
Based on the prior knowledge and according to the relative position relationship of vehicle licence plate and vehicle-logo,first we make rough positioning of the vehicle logo and get a rectangular rough location region containing the vehicle-logo image.In order to utilise the texture directional feature of the vehicle-logo background cooling grills,we introduce the concept of texture direction measure.According to the texture measure,the textures of the grille are grouped into two categories:the horizontal-like texture and the vertical texture.In the stage of accurate location,we adopt different location algorithms in light of different texture categories respectively.For horizontal-like texture,we use dynamic templates to locate the boundary,this achieves sound location effects for sophisticated horizontal texture and complicated mesh texture;For vertical texture,we introduce the concept of edge granularity,it effectively removes the noises points outside the vehicle logo region and preserves entire information of the vehicle-logo its own.Experimental results show that the method in this paper has good robustness,it can fast and accurately locate the position of vehicle-logo,the average successful locating rate reaches 97%,and the average locating time is 22 ms in testing environment.This location efficiency and accuracy can meet the demand of real-time system.