car.zip_matlab颜色识别_车牌识别 模板_颜色识别

%程序功能：实现车牌自动定位 %作者：重庆大学 田建国 QQ:363966533 %编写时间:2007.04.10 %修改时间:2007.07.06;修改内容:增加合并区域操作，第88行开始 clear;clc;close all filename='2.jpg'; I=im2gray(filename);%调用自编函数读取图像，并转化为灰度图象； tic %计时开始 [height,width]=size(I); %预处理 I_edge=zeros(height,width); for i=1:width-1 I_edge(:,i)=abs(I(:,i+1)-I(:,i)); end I_edge=(255/(max(max(I_edge))-min(min(I_edge))))*(I_edge-min(min(I_edge))); [I_edge,y1]=select(I_edge,height,width); %%%%%%调用select函数 BW2 = I_edge;% %%%%%%%%%%%%%%%%一些形态学处理 SE=strel('rectangle',[10,10]); IM2=imerode(BW2,SE); IM2=bwareaopen(IM2,20); IM3=imdilate(IM2,SE); %%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%投影以粗略估计车牌位置 p_h=projection(double(IM3),'h'); %调用projection函数 if(p_h(1)>0) p_h=[0,p_h]; end p_v=projection(double(IM3),'v'); %调用projection函数 if(p_v(1)>0) p_v=[0,p_v]; end %%%%%% p_h=double((p_h>5)); p_h=find(((p_h(1:end-1)-p_h(2:end))~=0)); len_h=length(p_h)/2; %%%%% p_v=double((p_v>5)); p_v=find(((p_v(1:end-1)-p_v(2:end))~=0)); len_v=length(p_v)/2; %%%%%%%%%%% %%%%%%%%%%%%%%%%%粗略计算车牌候选区 k=1; for i=1:len_h for j=1:len_v s=IM3(p_h(2*i-1):p_h(2*i),p_v(2*j-1):p_v(2*j)); if(mean(mean(s))>0.1) p{k}=[p_h(2*i-1),p_h(2*i)+1,p_v(2*j-1),p_v(2*j)+1]; k=k+1; end end end k=k-1; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%进一步缩小车牌候选区 for i=1:k edge_IM3=double(edge(double(IM3(p{i}(1):p{i}(2),p{i}(3):p{i}(4))),'canny')); [x,y]=find(edge_IM3==1); p{i}=[p{i}(1)+min(x),p{i}(2)-(p{i}(2)-p{i}(1)+1-max(x)),... p{i}(3)+min(y),p{i}(4)-(p{i}(4)-p{i}(3)+1-max(y))]; p_center{i}=[fix((p{i}(1)+p{i}(2))/2),fix((p{i}(3)+p{i}(4))/2)]; p_ratio(i)=(p{i}(4)-p{i}(3))/(p{i}(2)-p{i}(1)); end %%%%%%%%%%%%%%%%%%%%%%%%%%%%% %对上面参数和变量的说明：p为一胞元，用于存放每个图像块的左上和右下两个点的坐标； %存放格式为：p{k}=[x1,x2,y1,y2]；x1,x2分别为行坐标，y1,y2为列坐标 %p_center为一胞元,用于存放每个图像块的中心坐标,p_center{k}=[x,y];x,y分别为行,列坐标 %p_ratio为一矩阵，用来存放图像块的长宽比例 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%合并临近区域%%%%%%% %如果有多个区域则执行合并 if k>1 n=0; ncount=zeros(1,k); for i=1:k-1 %%%需要调整if条件中的比例 %%%需要调整 %检查是否满足合并条件 if(abs(p{i}(1)+p{i}(2)-p{i+1}(1)-p{i+1}(2))<=height/30&&abs(p{i+1}(3)-p{i}(4))<=width/15) p{i+1}(1)=min(p{i}(1),p{i+1}(1)); p{i+1}(2)=max(p{i}(2),p{i+1}(2)); p{i+1}(3)=min(p{i}(3),p{i+1}(3)); p{i+1}(4)=max(p{i}(4),p{i+1}(4)); %向后合并 n=n+1; ncount(n)=i+1; end end %如果有合并，求出合并后最终区域 if(n>0) d_ncount=ncount(2:n+1)-ncount(1:n);%避免重复记录临近的多个区域。 index=find(d_ncount~=1); m=length(index); for i=1:m pp{i}=p{ncount(index(i))}; %pp_center{i}=p_center{ncount(i)}; %重新记录合并区域的比例 pp_ratio(i)=(pp{i}(4)-pp{i}(3))/(pp{i}(2)-pp{i}(1)); end p=pp;%更新区域记录 p_ratio=pp_ratio; %更新区域比例记录 clear pp;clear pp_ratio; %清除部分变量 end end k=length(p); %更新区域个数 %%%%%%%%%%%%%%合并结束%%%%%%%%%%%%%%%%%%%%% %%%%%%%%根据区域比例判断是否为车牌区域%%%%%%%%%%%% m=1;T=0.6*max(p_ratio);%0.8参数需要调整 for i=1:k if(p_ratio(i)>=T&p_ratio(i)<20) p1{m}=p{i}; m=m+1; end end p=p1;clear p1; k=m-1; %更新区域数 %%%%%%%%%%%判定结束%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %d=zeros(k+1,k+1); %for i=1:k+1 % for j=i+1:k+1 %d(i,j)=sqrt((p_center{i}(1)-p_center{j}(1))^2+(p_center{i}(2)-p_center{j}(2))^2); % end %end %说明:d用于存放第i,j个图像块中心点的距离; %T=sqrt(height^2+width^2)/10;%阈值 %[x,y]=find(d>0&d<T); %for i=1:length(x) % p{x(i)}(1)=min(p{x(i)}(1),p{y(i)}(1)); % p{x(i)}(2)=max(p{x(i)}(2),p{y(i)}(2)); % p{x(i)}(3)=min(p{x(i)}(3),p{y(i)}(3)); % p{x(i)}(4)=max(p{x(i)}(4),p{y(i)}(4)); %end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% toc %计时结束 clear edge_IM3;clear x; clear y; % 清空部分变量 %%%%%%%%%%%%%%%%显示 figure; subplot(221);imshow(I); subplot(222);imshow(BW2); subplot(223);imshow(IM2); subplot(224);imshow(IM3); %%%%%%%%%%%%%%%%%显示 figure; for i=1:k subplot(1,k,i); index=p{i}; imshow(I(index(1)-2:index(2),index(3):index(4))); end if(k==1) imwrite(I(index(1)-2:index(2),index(3):index(4)),'cp.jpg'); end %存储车牌图像 %%%%%%%%%%%%%%%% %figure; %I1=I.*uint8(IM3);imshow(I1)