c++ 车牌识别 实例源码下载

【核心代码】

#include <cstdio>
#include <cstring>
#include <iostream>
#include<cv.h>
#include<highgui.h>
#include <cmath>
#include "image.h"
using namespace std;
int main(){
    char imageName[12] = "1.jpg";
    char imageDstName[12] = "1_dst.jpg";
    char imageBwName[12]  = "1_bw.jpg";
    IplImage* srcImage = NULL,*image = NULL,*bwImage = NULL;
    
    cvNamedWindow("srcImage",1);
    cvNamedWindow("bwImage",1);
    //cvShowImage("srcImage",srcImage);
    int imageWidth,imageHeight;  
    int maxDif = 50; 
    //找到蓝色区域
    int i= 0,j = 0;
    unsigned char * pPixel = NULL;
    unsigned char   pixelR = 0,pixelG = 0,pixelB = 0;
    unsigned char R = 28,G = 63, B = 138; 

    double length,area,rectArea;
    double rectDegree = 0.0; //矩形度
    double long2Short = 1.0; //体态比
    //计算边界序列的参数 长度 面积 矩形 最小矩形 
    //并输出每个边界的参数
    CvRect rect;
    CvBox2D box;
    int imageCnt = 1;
    double axisLong = 0.0, axisShort = 0.0;
    double temp;

    while ((srcImage = cvLoadImage(imageName,1)) != NULL)
    {
        cvShowImage("srcImage",srcImage); 
        cout<<imageName<<": "<<endl;
        imageWidth = srcImage->width;
        imageHeight = srcImage->height;

        
        image = cvCreateImage(cvSize(imageWidth,imageHeight),8,3);
        //image = cvCloneImage(srcImage);
        Image::cloneImage(srcImage,image);

        bwImage = cvCreateImage(cvGetSize(srcImage),srcImage->depth,1);
        //cvZero(bwImage);
        Image::ZerosImage(bwImage);


        for (i = 0; i< imageHeight;i  )
        {
            for (j = 0;j<imageWidth;j  )
            {
                pPixel = (unsigned char*)srcImage->imageData   i*srcImage->widthStep   j*3;
                pixelB = pPixel[0];
                pixelG = pPixel[1];
                pixelR = pPixel[2];

                if (abs(pixelB - B) < maxDif && abs(pixelG - G)< maxDif && abs(pixelR - R)< maxDif)
                {
                    *((unsigned char*)bwImage->imageData   i*bwImage->widthStep   j) = 255;
                }else {
                    *((unsigned char*)bwImage->imageData   i*bwImage->widthStep   j) = 0;
                }
            }
        }
        cvShowImage("bwImage",bwImage);
        cvSaveImage(imageBwName,bwImage);
         //cvWaitKey(0);
        //膨胀
        //cvDilate(bwImage,bwImage,0,3);
        Image::dilateImage(bwImage,bwImage);
        Image::dilateImage(bwImage,bwImage);
        Image::dilateImage(bwImage,bwImage);

        //cvErode (bwImage,bwImage,0,3);
        Image::erodeImage(bwImage,bwImage);
        Image::erodeImage(bwImage,bwImage);
        Image::erodeImage(bwImage,bwImage);

        cvShowImage("bwImage",bwImage);
        //cvWaitKey(0);

        //新图，将轮廓绘制到dst
        IplImage *dst = cvCreateImage(cvGetSize(srcImage),8,3); 
        //dst = cvCloneImage(srcImage);//赋值为0
        Image::cloneImage(srcImage,dst);
        //寻找轮廓
        CvMemStorage *storage = cvCreateMemStorage(0);
        CvSeq * seq = cvCreateSeq(CV_SEQ_ELTYPE_POINT, sizeof(CvSeq), sizeof(CvPoint), storage);
        CvSeq * tempSeq = cvCreateSeq(CV_SEQ_ELTYPE_POINT, sizeof(CvSeq), sizeof(CvPoint), storage);
        int cnt = cvFindContours(bwImage,storage,&seq);//返回轮廓的数目
        cout<<"number of contours   "<<cnt<<endl;
        cvShowImage("bwImage",bwImage);    //难道使用cvFindContours会改变源图像？需要实现保存一下

        for (tempSeq = seq;tempSeq != NULL; tempSeq = tempSeq->h_next)
	    {
		    
		    length = cvArcLength(tempSeq);
		    area =  cvContourArea(tempSeq);
            //筛选面积比较大的区域
            if (area > 1000 && area < 50000)
            {
                
                //cout<<"Points:  "<<tempSeq->total<<endl;
                //外接矩形
                rect = cvBoundingRect(tempSeq,1);
                //绘制轮廓和外接矩形
                //cvDrawContours(dst,tempSeq,CV_RGB(255,0,0),CV_RGB(255,0,0),0);
                //cvRectangleR(dst,rect,CV_RGB(0,255,0));
                //cvShowImage("dst",dst);

                //绘制外接最小矩形
                CvPoint2D32f pt[4];
                box = cvMinAreaRect2(tempSeq,0);
                cvBoxPoints(box,pt);
                //下面开始分析图形的形状特征 
                //长轴 短轴
                axisLong = sqrt(pow(pt[1].x -pt[0].x,2)   pow(pt[1].y -pt[0].y,2));
                axisShort = sqrt(pow(pt[2].x -pt[1].x,2)   pow(pt[2].y -pt[1].y,2));

                if (axisShort > axisLong)
                {  
                    temp = axisLong;
                    axisLong = axisShort;
                    axisShort= temp;
                }  
                rectArea = axisLong*axisShort; 
                rectDegree =  area/rectArea;  
                //体态比or长宽比 最下外接矩形的长轴和短轴的比值
                long2Short = axisLong/axisShort;
             
                if (long2Short> 2.2 && long2Short < 3.8 && rectDegree > 0.63 && rectArea > 3000 && rectArea <50000)
                {
                    cout<<"Length:  "<<length<<endl;
                    cout<<"Area  :  "<<area<<endl;
                    cout<<"long axis ："<<axisLong<<endl;
                    cout<<"short axis: "<<axisShort<<endl;
                    cout<<"long2Short: "<<long2Short<<endl;
                    cout<<"rectArea:  "<<rectArea<<endl;
                    cout<<"rectDegree:  "<<rectDegree<<endl;

                    for(int i = 0;i<4;  i){
                        cvLine(dst,cvPointFrom32f(pt[i]),cvPointFrom32f(pt[((i 1)%4)?(i 1):0]),CV_RGB(255,0,0));
                    }
                }
                //cvShowImage("dst",dst);
                //cvWaitKey();
            }
	    }
        cvShowImage("dst",dst);
        cvSaveImage(imageDstName,dst);
        //cvWaitKey(0);

        imageCnt  ;
        sprintf(imageName,"%d.jpg",imageCnt);
        sprintf(imageBwName,"%d_bw.jpg",imageCnt);
        sprintf(imageDstName,"%d_dst.jpg",imageCnt);
        cout<<"\n\n";
    }

    return 0;
}