车牌识别程序.docx

车牌识别程序
《数字图像与计算机视觉》
期末实验报告
专业名称：
学生姓名：

学 号：

=============
Plate=I_bai(PY1:PY2,PX1:PX2,:);%使用caitu_tiqu
hold on;
line1 = [1 PY1; V PY1];
plot(line1(:, 1), line1(:, 2), 'y-', 'LineWidth', 2);pause();
hold on;
line2 = [1 PY2; V PY2];
plot(line2(:, 1), line2(:, 2), 'r-', 'LineWidth', 2);pause();
hold on;
line3 = [PX1 1; PX1 U];
plot(line3(:, 1), line3(:, 2), 'g-', 'LineWidth', 2);pause();
hold on;
line4 = [PX2 1; PX2 U];
plot(line4(:, 1), line4(:, 2), 'b-', 'LineWidth', 2);
%==============考虑用腐蚀解决蓝色车问题=============
bw=Plate;figure,imshow(bw);title('车牌图像');%hsv彩图提取图像
%==============
bw=rgb2gray(bw);figure,imshow(bw);title('灰度图像');
%================倾斜校正======================
qingxiejiao=rando_bianhuan(bw)
bw=imrotate(bw,qingxiejiao,'bilinear','crop');figure,imshow(bw);title('倾斜校正');%取值为负值向右旋转
%==============================================
bw=im2bw(bw);%figure,imshow(bw);
bw=bwmorph(bw,'hbreak',inf);%figure,imshow(bw);
bw=bwmorph(bw,'spur',inf);%figure,imshow(bw);title('擦除之前');
bw=bwmorph(bw,'open',5);%figure,imshow(bw);title('闭合运算');
bw = bwareaopen(bw, threshold);figure,imshow(bw);title('擦除');
%==================加入进度条================================
% h=waitbar(0,'程序运行中，请稍等......')
% for i=1:10000
% waitbar(i/5000,h)
% end
% close(h);
%wavplay(wavread(''),22000);
%================================
==========================
bw=~bw;figure,imshow(bw);title('擦除反色');
%=============对图像进一步裁剪，保证边框贴近字体===========
bw=touying(bw);figure;imshow(bw);title('Y方向处理');
bw=~bw;
bw = bwareaopen(bw, threshold);
bw=~bw;%figure,imshow(bw);title('二次擦除');
[y,x]=size(bw);%对长宽重新赋值
%=================文字分割=================================
fenge=shuzifenge(bw,qingxiejiao)
[m,k]=size(fenge);
%=================显示分割图像结果================