matlab车牌识别毕设论文,MATLAB小白一个，毕设做一个基于MATLAB的车牌识别系统，出现索引超出矩阵维度的错误。主函数和自定义函数都写出来了（书上找的），希望大神帮助...

[fn,pn,fi]=uigetfile('AD.jpg','选择图片');

I=imread([pn fn]);

figure,

imshow(I);

title('原始图像');

Im1=rgb2gray(I);

figure(2),

subplot(1,2,1),

imshow(Im1);

title('灰度图');

figure(2),

subplot(1,2,2),

imhist(Im1);

title('灰度图的直方图');

Tiao=imadjust(Im1,[0.19,0.78],[0,1]);

figure(3),

subplot(1,2,1),

imshow(Tiao);

title('增强灰度图');

figure(3),

subplot(1,2,2),

imhist(Tiao);

title('增强灰度图的直方图');

Im2=edge(Im1,'sobel',0.15,'both');

figure(4),

imshow(Im2);

title('sobel算子实现边缘检测')

se=[1;1;1;];

Im3=imerode(Im2,se);

figure(5),

imshow(Im3);

title('腐蚀效果图');

se=strel('rectangle',[25,25]);

Im4=imclose(Im3,se);

figure(6),

imshow(Im4);

title('平滑图像的轮廓');

Im5=bwareaopen(Im4,2000);

figure(7),

imshow(Im5);

title('移除小对象');

[y,x,z]=size(Im5);

Im6=double(Im5);

Blue_y=zeros(y,1);

for i=1:y

for j=1:x

if(Im6(i,j,1)==1)

Blue_y(i,1)=Blue_y(i,1)+1;

end

end

end

[temp MaxY]=max(Blue_y);

PY1=MaxY;

while((Blue_y(PY1,1)>=5)&&(PY1>1))

PY1=PY1-1;

end

PY2=MaxY;

while((Blue_y(PY2,1)>=5)&&(PY2

PY2=PY2+1;

end

IY=I(PY1:PY2,:,:);

Blue_x=zeros(1,x);

for j=1:x

for i=PY1:PY2

if(Im6(i,j,1)==1)

Blue_x(1,j)=Blue_x(1,j)+1;

end

end

end

PX1=1;

while((Blue_x(1,PX1)<3)&&(PX1

PX1=PX1+1;

end

PX2=x;

while((Blue_x(1,PX2)<3)&&(PX2>PX1))

PX2=PX2-1;

end

PX1=PX1-1;

PX2=PX2+1;

dw=I(PY1:PY2-6,PX1:PX2,:);

figure(8),

subplot(1,2,1),

imshow(IY),

title('垂直方向合理区域');

figure(8),

subplot(1,2,2),

imshow(dw),

title('定位剪切后的彩色车牌图像')

imwrite(dw,'dw.jpg');

a=imread('dw.jpg');

b=rgb2gray(a);

imwrite(b,'车牌灰度图像.jpg');

figure(9);

subplot(3,2,1),

imshow(b),

title('1.车牌灰度图像')

g_max=double(max(max(b)));

g_min=double(min(min(b)));

T=round(g_max-(g_max-g_min)/3);

[m,n]=size(b);

d=(double(b)>=T);

imwrite(d,'车牌二值图像.jpg');

figure(9)

subplot(3,2,2),

imshow(d),

title('2.车牌二值图像')

figure(9)

subplot(3,2,3),

imshow(d),

title('3.均值滤波前')

h=fspecial('average',3);

d=im2bw(round(filter2(h,d)));

imwrite(d,'均值滤波后.jpg');

figure(9)

subplot(3,2,4),

imshow(d),

title('4.均值滤波后')

se=eye(2);

[m,n]=size(d);

if bwarea(d)/m/n>=0.365

d=imerode(d,se);

elseif bwarea(d)/m/n<=0.235

d=imdilate(d,se);

end

imwrite(d,'膨胀或腐蚀后处理后.jpg');

figure(9)

subplot(3,2,5),

imshow(d),

title('5.膨胀或腐蚀后处理后')

d=QieGe(d);

[m,n]=size(d);

k1=1;k2=1;s=sum(d);j=1;

while j~=n

while s(j)==0;

j=j+1;

end

k1=j;

while s(j)~=0&&j<=n-1

j=j+1;

end

k2=j-1;

if k2-k1>=round(n/6.5)

[val,num]=min(sum(d(:,[k1+5:k2-5])));

d(:,k1+num+5)=0;

end

end

d=QieGe(d);

y1=10;y2=0.25;flag=0;word1=[];

while flag==0

[m,n]=size(d);

left=1;wide=0;

while sum(d(:,wide+1))~=0

wide=wide+1;

end

if wide

d(:,[1:wide])=0;

d=QieGe(d);

else

temp=QieGe(imcrop(d,[1 1 wide m]));

[m,n]=size(temp);

all=sum(sum(temp));

two_thirds=sum(sum(temp(round(m/3):2*round(m/3),:)));

if two_thirds/all>2

flag=1;word1=temp;

end

d(:,1:wide)=0;d=QieGe(d);

end

end

[word2,d]=FenGe(d);

[word3,d]=FenGe(d);

[word4,d]=FenGe(d);

[word5,d]=FenGe(d);

[word6,d]=FenGe(d);

[word7,d]=FenGe(d);

word1=imresize(word1,[40 20]);

word2=imresize(word2,[40 20]);

word3=imresize(word3,[40 20]);

word4=imresize(word4,[40 20]);

word5=imresize(word5,[40 20]);

word6=imresize(word6,[40 20]);

word7=imresize(word7,[40 20]);

figure

subplot(2,7,1),

imshow(word1),

title('1');

subplot(2,7,2),

imshow(word2),

title('2');

subplot(2,7,3),

imshow(word3),

title('3');

subplot(2,7,4),

imshow(word4),

title('4');

subplot(2,7,5),

imshow(word5),

title('5');

subplot(2,7,6),

imshow(word6),

title('6');

subplot(2,7,7),

imshow(word7),

title('7');

imwrite(word,'1.jpg');

imwrite(word,'2.jpg');

imwrite(word,'3.jpg');

imwrite(word,'4.jpg');

imwrite(word,'5.jpg');

imwrite(word,'6.jpg');

imwrite(word,'7.jpg');

liccode=char('0':'9''A':'Z''京津冀晋蒙辽吉黑沪苏浙皖闽赣鲁豫鄂湘粤桂琼渝川贵云藏陕甘青宁新');

l=1;

for I=1:7

ii=int2str(I);

t=imread([ii,'.jpg']);

SegBw2=imresize(t,[40,20],'nearest');

if 1==1

kmin=37;

kmax=40;

elseif 1>=2&&1<=3

kmin=11;

kmax=36;

elseif 1>=4&1<=7

kmin=1;

kmax=10;

end

for k2=kmin:kmax

fname=stract('字符模板|',liccode(k2),'.jpg');

SamBw2=imread(fname);

Dm=0;

for k1=1:40

for11=1:20;

if SegBw2(k1,11)==SamBw2(k1,11)

Dm=Dm+1;

end

end

end

Error(k2)=Dm;

end

Error1=Error(kmin:kmax);

MinError=max(Error1);

findc=find(Error1==MinError);

Resault(1*2-1)=liccode(find(1)+kmin-1);

Resault(1*2)='';

l=1+1;

t=toc;

Resault;

mesgbox(Resault,'识别结果')

fid=fopen('Data.xls','a+');

fprintf(fid,'%s|r|n',Resault,datestr(now));

fclose(fid);

索引超出矩阵维度。

出错 main (line 152)

while sum(d(:,wide+1))~=0

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自定义函数

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自定义函数2

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主函数