[FileName,PathName] = uigetfile('*.jpg','Select an image');
if PathName~=0str = [PathName,FileName];T=imread(str);axes(handles.axes1);imshow(T);
end
预处理
[m,n,r]=size(I);%图像的像素为width*height
%%%%%蓝色字体变黑
myI=double(I);for i=1:mfor j=1:nif((myI(i,j,1)>=15)&&(myI(i,j,1)<=130)&&((myI(i,j,2)<=165)&&(myI(i,j,2)>=90))&&((myI(i,j,3)<=220)&&(myI(i,j,3)>=135))) % 蓝色RGB的灰度范围I(i,j,1)=40; %红色分量I(i,j,2)=40; %绿色分量I(i,j,3)=40; %蓝色分量end  end
end
%figure, imshow(I);title('变色后的图像');width=round(0.9*n);height=round(0.87*m);
rx=round(0.05*n);cy=round(0.075*m);
I=subim(I,height,width,rx,cy);
%figure,imshow(I);if sum(size(I)>0)==3 %倘若是彩色图--2维*3，先转换成灰度图
I=rgb2gray(I);
end
%figure,imhist(I);
x=3;%行数分为x部分
y=1;%列数分为y部分
BW=erzhihua(I,x,y);[n m l]=size(BW);%图像的像素为m*n
c = [0.65*m 0.65*m m m];
r = [0 0.85*n 0.85*n 0];
BW = roifill(BW,c,r);BW=imadjust(BW);%使用imadjust函数对图像进行增强对比度
% Convert to BW
threshold = graythresh(BW);
BW =~im2bw(BW,0.6*threshold);[image_h image_w]=size(BW);
% Remove all object containing fewer than (imagen/80) pixels
BW = bwareaopen(BW,floor(image_w/80));
% 滤波
imshow(BW);

[image_h image_w]=size(imagen);
%figure;imshow(imagen);title('INPUT IMAGE')% Convert to gray scale
if size(imagen,3)==3 %RGB imageimagen=rgb2gray(imagen);
end%Storage matrix word from image
word=[ ];
re=imagen;
% Compute the number of letters in template file
num_letras=size(templates,2);% Label and count connected components[L Ne] = bwlabel(imgn);    n=1;%记录循环次数
while(n<=Ne)char_flag=0;%为0时，是第一次判断这个连通域flag=1;%初始化两个连通域属于同个字符while(flag==1)       if char_flag==0[r,c] = find(L==n);Width0=max(r)-min(r);%连通域宽度Height0=max(c)-min(c);%连通域高度Radio0=Width0/Height0;%连通域宽高比Square0=Width0*Height0;%连通域面积maxr=max(r);maxc=max(c);minr=min(r);minc=min(c);endif n<Ne[r1,c1] = find(L==(n+1));%寻找下一个连通域Width1=max(r)-min(r);%连通域宽度Height1=max(c)-min(c);%连通域高度Radio1=Width1/Height1;%连通域宽高比Square1=Width1*Height1;%连通域面积Uheight=max(maxc,max(c1))-min(minc,min(c1));%合并后高度Uwidth=max(maxr,max(r1))-min(minr,min(r1));%合并后宽度Uradio=Uwidth/Uheight;%合并后的宽高比Oheigth=Height0+Height1-Uheight;%重叠高度Owidth=Width0+Width1-Uwidth;%重叠宽度Osquare=Oheigth*Owidth;%重叠面积elseflag=0;%这是这一行最后一个连通域endph=5;%边界因子pw=7;if(flag==1)&&((Owidth>=-(image_w/pw)&&Owidth<=0)||(Oheigth>=-(line_h*0.3)&&Oheigth<=0))%两个连通域较近，但不重叠if((Uradio>=0.8)&&(Uradio<=1.2))%认为两个连通域属于同一个字符elseif Uheight<line_h*0.4;%连通域的合并之后高度过小的，认为是一个字符的一部分，很可能是边旁部首else flag=0;%否则这两个连通域属于不同字符  endelseif(flag==1)&&(Owidth<-(image_w/pw))%两个连通域里相距较远flag=0;%两个连通域属于不同字符% elseif(flag==1)&&((Owidth>0)||(Oheigth>0))%两连通域重叠elseif(flag==1)&&((Owidth>0))%两连通域重叠if(((Uradio>=0.78)&&(Uradio<=1.3)))%认为两个连通域属于同一个字符elseif(Osquare>=0.4*min(Square0,Square1)&&(Uwidth<image_w/45))elseflag=0;%两个连通域属于不同字符endelse flag=0;%两个连通域属于不同字符endif flag==1%经过上面判断，两个连通域属于同一个字符，进行连通域合并Width0=Uwidth;%连通域宽度Height0=Uheight;%连通域高度Radio0=Width0/Height0;%连通域宽高比Square0=Width0*Height0;%连通域面积maxr=max(maxr,max(r1));maxc=max(maxc,max(c1));minr=min(minr,min(r1));minc=min(minc,min(c1));n=n+1;%指向下一个连通域char_flag=1;endend  %while(flag==1)的end% Extract lettern1=imgn(minr:maxr,minc:maxc);  % Resize letter (same size of template)img_r=imresize(n1,[36 23]);plot_flag=plot_flag+1;%Uncomment line below to see letters one by one% imshow(img_r);title(n);pause(0.5)%-------------------------------------------------------------------% Call fcn to convert image to textletter=read_letter(img_r,num_letras);% Letter concatenationword=[word letter];n=n+1;end % while(n<=Ne)的end%fprintf(fid,'%s\n',lower(word));%Write 'word' in text file (lower)set(handles.edit1,'string',word);word=[ ];