车牌识别的完整代码.zip_OPENCV 车牌_potj9f_车牌mfc_车牌识别_车牌识别 代码

int CMyDialog::PlateAreaSearch(IplImage *pImg_Image) { // 检测是否有值 if (pImg_Image==NULL) { return 0; } IplImage* imgTest =0; int i=0, j=0,k=0,m=0; bool flag=0; int plate_n=0; //上边界 int plate_s=0; //下边界 int plate_e=0; //右边界 int plate_w=0; //左边界 int *num_h=new int[MAX(pImg_Image->width,pImg_Image->height)]; if ( num_h==NULL ) { MessageBox("memory exhausted!"); return 0; } //初始化分配的空间 for(i=0;i<pImg_Image->width;i++) { num_h[i]=0; } imgTest = cvCreateImage(cvSize(pImg_Image->width,pImg_Image->height),IPL_DEPTH_8U,1); cvCopy(pImg_Image, imgTest); //--水平轮廓细化 for(j=0; j<imgTest->height; j++) { for(i=0;i<imgTest->width-1;i++) { CV_IMAGE_ELEM(imgTest,uchar,j,i)=CV_IMAGE_ELEM(imgTest,uchar,j,i+1)-CV_IMAGE_ELEM(imgTest,uchar,j,i); //记录每一行的像素值 num_h[j]+=CV_IMAGE_ELEM(imgTest,uchar,j,i)/250; } } int temp_1 = 0; //统计20行中最大的每行数据量 int temp_max = 0; //20行最大的数据量 int temp_i = 0; //最大数据量的行 for(j=0; j<imgTest->height-20; j++) { temp_1=0; for(i=0;i<20;i++) temp_1 += num_h[i+j]; if(temp_1>=temp_max) { temp_max=temp_1; temp_i = j; } } //找出上行边界行 k=temp_i; while ( ((num_h[k +1]>POINT_X )||(num_h[k +2]>POINT_X )||(num_h[k]>POINT_X )) && k ) k--; plate_n=k+1; //找出下边界行 k=temp_i+10; while (((num_h[k -1]>POINT_X )||(num_h[k-2]>POINT_X )||(num_h[k]>POINT_X ))&&(k<imgTest->height)) k++; plate_s=k; //没找到水平分割线，设置为默认值 if ( !(plate_n && plate_s && (plate_n<plate_s) && ((plate_s-plate_n)*HIGH_WITH_CAR<imgTest->width*(1-WITH_X)))) { MessageBox("水平分割失败!"); return 0; } //找到水平线 else { int max_count = 0; int plate_length = (imgTest->width-(plate_s-plate_n)*HIGH_WITH_CAR); plate_w=imgTest->width*WITH_X-1;//车牌宽度 默认 //--垂直方向 轮廓细化 for(i=0;i<imgTest->width;i++) for(j=0;j<imgTest->height-1;j++) { CV_IMAGE_ELEM(imgTest,uchar,j,i)=CV_IMAGE_ELEM(imgTest,uchar,j+1,i)-CV_IMAGE_ELEM(imgTest,uchar,j,i); } for(k=0;k<plate_length;k++) { for(i=0; i<(int)((plate_s-plate_n)*HIGH_WITH_CAR); i++) for (j=plate_n;j<plate_s;j++)//两水平线之间 { num_h[k] =num_h[k]+ CV_IMAGE_ELEM(imgTest,uchar,j,(i+k))/250; } if (num_h[k]>max_count) { max_count = num_h[k]; plate_w = k; } } CvRect ROI_rect; //获得图片感兴趣区域 ROI_rect.x=plate_w; ROI_rect.y=plate_n; ROI_rect.width=(plate_s-plate_n)*HIGH_WITH_CAR; ROI_rect.height=plate_s-plate_n; if ((ROI_rect.width+ROI_rect.x)> pImg_Image->width) { ROI_rect.width=pImg_Image->width-ROI_rect.x; MessageBox("垂直方向分割失败!"); return 0; } else { IplImage *pImg8uROI=NULL; //感兴趣的图片 pImg8uROI=cvCreateImage(cvSize(ROI_rect.width,ROI_rect.height), src->depth,src->nChannels); IplImage *pImg8u11=NULL; //车牌区域灰度图 pImg8u11=cvCreateImage(cvSize(40*HIGH_WITH_CAR,40),pImg8uROI->depth,pImg8uROI->nChannels); cvSetImageROI(src,ROI_rect); cvCopy(src,pImg8uROI,NULL); cvResetImageROI(src); pImgResize=cvCreateImage(cvSize(40*HIGH_WITH_CAR,40),IPL_DEPTH_8U,1); cvResize(pImg8uROI,pImg8u11,CV_INTER_LINEAR); //线性插值 cvCvtColor(pImg8u11,pImgResize,CV_RGB2GRAY); Threshold(pImgResize,pImgResize); cvReleaseImage(&pImg8uROI); cvReleaseImage(&pImg8u11); cvReleaseImage(&imgTest); } } // 释放内存 delete []num_h; num_h=NULL; return 1; }