opencv车牌识别（超详细注释）

2.         if(flag) break;  
3.     }  
4.     cout<<"the start col:"<<col_start<<endl;  
5.     cvLine(pImg8u,cvPoint(col_start,row_start),cvPoint(col_start,row_end),cvScalar(255,0,0),1,8,0);  
6.     cvNamedWindow("划线_左",1);  
7.     cvShowImage("划线_左",pImg8u);  
8.   
9.     flag=false;  
10.     for(i=src_son_col->width-10;i>col_start;i--)           //找到右列开始  
11.     {  
12.         int count=0;  
13.         for(j=row_start;j<row_end;j++)  
14.         {  
15.             if(S(src_son_col,i,j)==255)  
16.                 count++;  
17.             if(count>T1)  
18.             {  
19.                 col_end=i;  
20.                 flag=true;  
21.                 break;  
22.             }  
23.         }  
24.         if(flag) break;  
25.     }  
26.     cout<<"the end col:"<<col_end<<endl;  
27.     cvLine(pImg8u,cvPoint(col_end,row_start),cvPoint(col_end,row_end),cvScalar(255,0,0),1,8,0);  
28.     cvNamedWindow("划线_左右",1);  
29.     cvShowImage("划线_左右",pImg8u);  
30. }  
31. /******************************************************************************************\  
32.               定义一个子函数find_ROI，找到图片中只含有目标区域的部分  
33. \******************************************************************************************/  
34. void find_ROI(IplImage *before_ROI,IplImage *after_ROI){  
35.     CvRect ROI_rect;                 //获得图片感兴趣区域  
36.     ROI_rect.x=col_start;  
37.     ROI_rect.y=row_start;  
38.     ROI_rect.width=col_end-col_start;  
39.     ROI_rect.height=row_end-row_start;  
40.     cvSetImageROI(pImg8u,ROI_rect);  
41.     pImg8uROI=cvCreateImage(cvSize(ROI_rect.width,ROI_rect.height),IPL_DEPTH_8U,1);  
42.     cvCopy(pImg8u,pImg8uROI);  
43.     cvResetImageROI(pImg8u);  
44.     }  
45.  /******************************************************************************************\  
46.       定义一个子函数cut_and_drawLine，对含有车牌有效信息的图片分割出字符，并画出分割线  
47. \******************************************************************************************/  
48.  void cut_and_drawLine(IplImage *befour_cut_image ){  
49. ///////////////////////////////////////////////////////////////得到每个字符的双边界  
50.     //七个字符的间距坐标间距，只看水平方向。分别为：0（0,45），1（57,102）,2（136,181），3（193,238）  
51.     //                                              4(250，295),5(307，352),6(364，409)  
52. //////////////////////////////////////////////////////////////并存放在col[]里面  
53.      for(i=0;i<7;i++)            
54.     {  
55.         switch(i){  
56.             case 0:                                          //0是省份名占45个像素  
57.             case 1:                                          //1是市名的字母占45个像素  
58.                 col[i*2]=i*nCharWidth+i*nSpace;  
59.                 cout<<col[i*2]<<endl;  
60.                 col[i*2+1]=(i+1)*nCharWidth+i*nSpace;  
61.                 cout<<col[i*2+1]<<endl;  
62.                 break;                                       //1与2之间有个点宽度是34个像素  
63.             case 2:                                          //2---6是剩余的字母和数字各自占45个像素  
64.             case 3:  
65.             case 4:  
66.             case 5:  
67.             case 6:  
68.                 col[i*2]=i*nCharWidth+i*nSpace+22;  
69.                 cout<<col[i*2]<<endl;  
70.                 col[i*2+1]=(i+1)*nCharWidth+i*nSpace+22;  
71.                 cout<<col[i*2+1]<<endl;  
72.                 break;  
73.         }  
74.   
75.     }  
76.     for(i=0;i<14;i++)        //画出每个字符的区域  
77.     {  
78.         cvLine(befour_cut_image,cvPoint(col[i],0),cvPoint(col[i],nHeight),cvScalar(255,0,0),1,8,0);  
79.         //cout<<col[i*2]<<" "<<col[2*i+1]<<" ";  
80.     }  
81.     //cvNamedWindow("画出每个字符的区域",1);  
82.     //cvShowImage("画出每个字符的区域",befour_cut_image);  
83.   
84.  }  
85. /******************************************************************************************\  
86.               定义一个子函数show_every_char，显示出所有分割出来的字符  
87. \******************************************************************************************/  
88. void show_every_char(IplImage *showChar){  
89.       
90.     pImgCharOne=cvCreateImage(cvSize(nCharWidth,nHeight),IPL_DEPTH_8U,1);  
91.     pImgCharTwo=cvCreateImage(cvSize(nCharWidth,nHeight),IPL_DEPTH_8U,1);  
92.     pImgCharThree=cvCreateImage(cvSize(nCharWidth,nHeight),IPL_DEPTH_8U,1);  
93.     pImgCharFour=cvCreateImage(cvSize(nCharWidth,nHeight),IPL_DEPTH_8U,1);  
94.     pImgCharFive=cvCreateImage(cvSize(nCharWidth,nHeight),IPL_DEPTH_8U,1);  
95.     pImgCharSix=cvCreateImage(cvSize(nCharWidth,nHeight),IPL_DEPTH_8U,1);  
96.     pImgCharSeven=cvCreateImage(cvSize(nCharWidth,nHeight),IPL_DEPTH_8U,1);  
97.   
98.     CvRect ROI_rect1;  
99.     ROI_rect1.x=col[0];  
100.     ROI_rect1.y=0;  
101.     ROI_rect1.width=nCharWidth;  
102.     ROI_rect1.height=nHeight;  
103.     cvSetImageROI(showChar,ROI_rect1);  
104.     cvCopy(showChar,pImgCharOne,NULL); //获取第1个字符  
105.     cvResetImageROI(showChar);  
106.   
107.     ROI_rect1.x=col[2];  
108.     ROI_rect1.y=0;  
109.     ROI_rect1.width=nCharWidth;  
110.     ROI_rect1.height=nHeight;  
111.     cvSetImageROI(showChar,ROI_rect1);  
112.     cvCopy(showChar,pImgCharTwo,NULL); //获取第2个字符  
113.     cvResetImageROI(showChar);  
114.   
115.     ROI_rect1.x=col[4];  
116.     ROI_rect1.y=0;  
117.     ROI_rect1.width=nCharWidth;  
118.     ROI_rect1.height=nHeight;  
119.     cvSetImageROI(showChar,ROI_rect1);  
120.     cvCopy(showChar,pImgCharThree,NULL); //获取第3个字符  
121.     cvResetImageROI(showChar);  
122.   
123.     ROI_rect1.x=col[6];  
124.     ROI_rect1.y=0;  
125.     ROI_rect1.width=nCharWidth;  
126.     ROI_rect1.height=nHeight;  
127.     cvSetImageROI(showChar,ROI_rect1);  
128.     cvCopy(showChar,pImgCharFour,NULL); //获取第4个字符  
129.     cvResetImageROI(showChar);  
130.   
131.     ROI_rect1.x=col[8];  
132.     ROI_rect1.y=0;  
133.     ROI_rect1.width=nCharWidth;  
134.     ROI_rect1.height=nHeight;  
135.     cvSetImageROI(showChar,ROI_rect1);  
136.     cvCopy(showChar,pImgCharFive,NULL); //获取第5个字符  
137.     cvResetImageROI(showChar);  
138.   
139.     ROI_rect1.x=col[10];  
140.     ROI_rect1.y=0;  
141.     ROI_rect1.width=nCharWidth;  
142.     ROI_rect1.height=nHeight;  
143.     cvSetImageROI(showChar,ROI_rect1);  
144.     cvCopy(showChar,pImgCharSix,NULL); //获取第6个字符  
145.     cvResetImageROI(showChar);  
146.   
147.     ROI_rect1.x=col[12];  
148.     ROI_rect1.y=0;  
149.     ROI_rect1.width=nCharWidth;  
150.     ROI_rect1.height=nHeight;  
151.     cvSetImageROI(showChar,ROI_rect1);  
152.     cvCopy(showChar,pImgCharSeven,NULL); //获取第7个字符  
153.     cvResetImageROI(showChar);  
154.       
155.     cvNamedWindow("分割后的车牌",1);  
156.     cvShowImage("分割后的车牌",showChar);  
157.     cvNamedWindow("one",CV_WINDOW_AUTOSIZE);  
158.     cvShowImage("one",pImgCharOne);  
159.     cvNamedWindow("two",1);  
160.     cvShowImage("two",pImgCharTwo);  
161.     cvNamedWindow("three",1);  
162.     cvShowImage("three",pImgCharThree);  
163.     cvNamedWindow("four",1);  
164.     cvShowImage("four",pImgCharFour);  
165.     cvNamedWindow("five",1);  
166.     cvShowImage("five",pImgCharFive);  
167.     cvNamedWindow("six",1);  
168.     cvShowImage("six",pImgCharSix);  
169.     cvNamedWindow("seven",1);  
170.     cvShowImage("seven",pImgCharSeven);  
171.     }