基于matlab-模板匹配-角度修正的铭牌识别.zip

%运行界面部分 warning('off'); close all; chos=0;%初始界面按钮参数 possibility=3;%退出界面按钮参数 while chos~=possibility chos=menu('身份牌信息识别系统','选择身份牌建立模板',' 选择身份牌开始进行识别 ','》》结束《《');%各个按钮名称，第一个为该图形化窗口的名称 if chos==1 %如果获取的按键为'选择身份牌建立模板'按键 clc; clear all; close all; warning off [fn,pn,fi]=uigetfile('*.*','选择图片');%选择图片 bmp=imread([pn fn]);%显示原始图像 figure(1) imshow(bmp);title('原始名牌图像'); %%%%%%%%%%图像HSV处理%%%%%%%%%% mysize=size(bmp);%判断图像色度 if numel(mysize)>2 %判断是否是rgb图像 myhsv=rgb2hsv(bmp);%对图像进行HSV处理 h=myhsv(:,:,1); s=myhsv(:,:,2); v=myhsv(:,:,3); %%%%%%%%%%图像中值滤波%%%%%%%%%% bmp=medfilt2(v,[3,3]); %%%%%%%%%%图像二值处理%%%%%%%%%% A=im2bw(v,0.3);%对图像进行二值化处理 else A=bmp; end %%%%%%%%图像做形态学处理%%%%%%%%% zfwz=[100 320 150 100]; B=bwmorph(A,'spur',inf);%对图像进行形态学处理 B=im2bw(B,0.5); rectangle('position',zfwz,'edgecolor','r');%字符画框 C=imcrop(B,zfwz);%画框部分图像截取 C=imcomplement(C);%对图像进行黑白反转 figure(2) imshow(C); pics=dir('*.bmp');MBS=length(pics); [pathstr,name,ext]= fileparts(mfilename('fullpath')); imwrite(C,[pathstr,'\',num2str(MBS),'.bmp'],'bmp') chos=0; possibility=3; end if chos==2 %如果获取的按键为'选择身份牌开始进行识别'按键 clc; clear all; close all; warning off [fn,pn,fi]=uigetfile('*.*','选择图片');%选择图片 bmp=imread([pn fn]);%显示原始图像 figure(1) imshow(bmp);title('原始名牌图像'); %%%%%%%%%%图像HSV处理%%%%%%%%%% myhsv=rgb2hsv(bmp);%对图像进行HSV处理 h=myhsv(:,:,1); s=myhsv(:,:,2); v=myhsv(:,:,3); figure(2) subplot(131);imshow(h);title('HSV转化后的H分量'); subplot(132);imshow(s);title('HSV转化后的S分量'); subplot(133);imshow(v);title('HSV转化后的V分量'); %%%%%%%%%%图像中值滤波%%%%%%%%%% bmp=medfilt2(v,[3,3]); % figure(2);subplot(221);imshow(bmp);title('中值滤波图像'); %%%%%%%%%%图像二值处理%%%%%%%%%% A=im2bw(v,0.5);%对图像进行二值化处理 %%%%%%%%%%%%%%%%%%%%%倾斜校正%%%%%%%%%%%%%%%%%%%%%% qingxiejiao=rando_bianhuan(A); A=imrotate(A,qingxiejiao,'bilinear','crop'); figure,imshow(A);title('倾斜校正');%取值为负值向右旋转 [pathstr,name,ext]= fileparts(mfilename('fullpath')); imwrite(A,[pathstr,'\xxx.bmp'],'bmp') %%%%%%%%%%%%%%%%%%%%%裁去黑边%%%%%%%%%%%%%%%%%%%%%% a = imread([pathstr,'\xxx.bmp']); %读取图片 delete([pathstr,'\xxx.bmp']); A=caiquhei(a); figure(3),imshow(A); %%%%%%%%图像做形态学处理%%%%%%%%% zfwz=[100 320 150 100]; B=bwmorph(A,'spur',inf);%figure,imshow(bw);title('擦除之前'); B=im2bw(B,0.5); figure(4) imshow(B); rectangle('position',zfwz,'edgecolor','r');%字符画框 C=imcrop(B,zfwz);%画框部分图像截取 C=imcomplement(C);%对图像进行黑白反转 figure(5) imshow(C); mobanpun=maopaopp(imread('0.bmp'),imread('1.bmp'),imread('2.bmp'),imread('3.bmp')); jieguohanzi = mobanpp(mobanpun,C); hs=msgbox(['名牌信息识别结果为识别结果为：',jieguohanzi],'result'); pause(1); close(hs); %disp(jieguohanzi) chos=0; possibility=3; end end