车牌检测程序及报告实验报告.doc

车 牌 检 测班级： 姓名： 学号：一、实验目的车牌检测的数字识别二、实验过程1、先将车辆图片读入。2、将图片进行预处理，手动输入车牌位置坐标。3、提取车牌图像，进行自动阈值和二值化处理。4、图像按字符分割，并且写入到固定的文件夹中。5、将车牌中的数字信息重新读入，进行模版匹配。6、利用最小距离法，识别车牌的数字信息并输出。三、具体程序clear;clc; im=imread(c:usersccjdesktop1.jpg);im_gray=rgb2gray(im);imagesc(im_gray);colormap(gray); m0=input(请输入左顶角车牌x坐标：);n0=input(请输入左顶角车牌y坐标：);m1=input(请输入右下角车牌x坐标：);n1=input(请输入左顶角车牌y坐标：); im_plate=im_gray;top=m0;bottom=m1;left=n0;right=n1;im_plate=im_gray(top:bottom,left:right);figure;imshow(im_plate); %imwrite(im_plate,d:program files图像/plateplate3.bmp,bmp); %i=imread(d:program files图像plateplate3.bmp);%i=rgb2gray(i);i=im_plate;x y=size(i);s=sum(sum(i);s=s/(x*y);im_bi=is;for k=1:5; im1=double(im_bi).*double(i); im2=double(abs(1-im_bi).*double(i); s1=sum(sum(im1)/sum(sum(im_bi); s2=sum(sum(im2)/sum(sum(abs(1-im_bi); s=(s1+s2)/2 endi=is;figure;imshow(i); mask=ones(1,3);p=imclose(i,mask);%标记l,num=bwlabel(p);t=100;%设定面积阈值参数for i=1:num r,c=find(l=i); if length(r)t p(r,c)=0; endendfigure(2);imshow(p)title(size filtering,fontsize,18) for y=1:y s(y)=sum(i(1:x,y);endy=1:y;figureplot(y,s(y); figure(3);title(character segmentation,fontsize,18)j=1;%分割的字符个数索引t=100;%设定面积阈值参数for i=1:num r,c=find(l=i); if length(r)t%阈值t取100 continue; else top=min(r);bottom=max(r); left=min(c);right=max(c); tempj=p(top:bottom,left:right); subplot(1,num,j) imshow(tempj) j=j+1; endend imwrite(temp1,d:program files图像/data1.bmp,bmp);imwrite(temp2,d:program files图像/data2.bmp,bmp);imwrite(temp3,d:program files图像/data3.bmp,bmp);imwrite(temp4,d:program files图像/data4.bmp,bmp);imwrite(temp5,d:program files图像/data5.bmp,bmp);imwrite(temp6,d:program files图像/data6.bmp,bmp);imwrite(temp7,d:program files图像/data7.bmp,bmp); %模版匹配识别（最小距离法） ibm1=imread(d:program files图像/data3.bmp); ibm2=imread(d:program files图像/data4.bmp); ibm3=imread(d:program files图像/data5.bmp); ibm4=imread(d:program files图像/data6.bmp); ibm5=imread(d:program files图像/data7.bmp); %归一化 row=40; col=30; for j=1:5 digitj=imresize(ibmj,row col,bilinear); d=zeros(1,10); for num=1:10 str=c:usersniudesktoptemplate,num2str(num),.bmp; i=imread(str); temp=imresize(i,row col,bilinear);