图像畸变校正OPENCV

使用USB摄像头,采集一副图像,然后对图像畸变校正。摄像头事先标定好

#include "cv.h"
#include 
"highgui.h"
#include 
"cxcore.h"
#include 
"cvcam.h"

//图像的像素直接提取
#define        _I(img,x,y) ((unsigned char*)((img)->imageData + (img)->widthStep*(y)))[(x)]
//亚像素级灰度值
#define        _IF(image,x,y)    ( ((int)(x+1)-(x))*((int)(y+1)-(y))*_I((image),(int)(x),(int)(y)) + ((int)(x+1)-(x))*((y)-(int)(y))*_I((image),(int)(x),(int)(y+1)) + ((x)-(int)(x))*((int)(y+1)-(y))*_I((image),(int)(x+1),(int)(y)) + ((x)-(int)(x))*((y)-(int)(y))*_I((image),(int)(x+1),(int)(y+1)) )//插值后的像素值(IN表示interpolation),x、y可以为小数


void callback(IplImage* image);

void main()
{

    
int ncams = cvcamGetCamerasCount( );//返回可以访问的摄像头数目
    HWND mywin;
    cvcamSetProperty(
0, CVCAM_PROP_ENABLE, CVCAMTRUE);
    cvcamSetProperty(
0, CVCAM_PROP_RENDER, CVCAMTRUE);
    mywin 
= (HWND)cvGetWindowHandle("cvcam window");
    cvcamSetProperty(
0, CVCAM_PROP_WINDOW, &mywin);
    cvcamSetProperty(
0, CVCAM_PROP_CALLBACK, callback);

    
//cvcamGetProperty(0, CVCAM_VIDEOFORMAT,NULL);
    cvNamedWindow( "径向矫正1"1 );//创建窗口
    cvNamedWindow( "径向矫正2"1 );//创建窗口

    cvcamInit( );
    cvcamStart( );

    cvWaitKey(
0);

    cvcamStop( );
    cvcamExit( );
    cvDestroyWindow( 
"径向矫正1" );//销毁窗口
    cvDestroyWindow( "径向矫正2" );//销毁窗口

}


void callback(IplImage* image)
{

    IplImage
* Show1 = cvCreateImage( cvSize(320,240), IPL_DEPTH_8U, 1);
    IplImage
* Show2 = cvCreateImage( cvSize(420,340), IPL_DEPTH_8U, 1);
    IplImage
* ImageC1 = cvCreateImage( cvSize(320,240), IPL_DEPTH_8U, 1);

    
//转换为灰度图
    cvCvtColor( image, ImageC1, CV_RGB2GRAY);
    cvFlip( ImageC1, NULL, 
0);
    
    
double *mi;
    
double *md;

    mi 
= new double[3*3];
    md 
= new double[4];

    CvMat intrinsic_matrix,distortion_coeffs;

    
//摄像机内参数
    cvInitMatHeader(&intrinsic_matrix,3,3,CV_64FC1,mi);
    
    
//镜头畸变参数
    cvInitMatHeader(&distortion_coeffs,1,4,CV_64FC1,md);

    
/////////////////////////////////////////////////
    
////////////////////////////320*240 120度广角镜头

    //参数由matlab获得
    double fc1,fc2,cc1,cc2,kc1,kc2,kc3,kc4;
    fc1 
= 667.23923/2.5;
    fc2 
= 669.78156/2.5;
    cc1 
= 429.96933/2.5;
    cc2 
= 351.48350/2.5;
    kc1 
= -0.40100;
    kc2 
= 0.19463;
    kc3 
= 0.00508;
    kc4 
= -0.00051;

    cvmSet(
&intrinsic_matrix, 00, fc1);
    cvmSet(
&intrinsic_matrix, 010);
    cvmSet(
&intrinsic_matrix, 02, cc1);
    cvmSet(
&intrinsic_matrix, 100);
    cvmSet(
&intrinsic_matrix, 11, fc2);
    cvmSet(
&intrinsic_matrix, 12, cc2);
    cvmSet(
&intrinsic_matrix, 200);
    cvmSet(
&intrinsic_matrix, 210);
    cvmSet(
&intrinsic_matrix, 221);

    cvmSet(
&distortion_coeffs, 00, kc1);
    cvmSet(
&distortion_coeffs, 01, kc2);
    cvmSet(
&distortion_coeffs, 02, kc3);
    cvmSet(
&distortion_coeffs, 03, kc4);
    
////////////////////////////320*240 120度广角镜头
    
/////////////////////////////////////////////////


    
//矫正畸变(opencv)
    cvUndistort2( ImageC1, Show1, &intrinsic_matrix, &distortion_coeffs);

    
//矫正畸变
    for (int nx=0; nx<420; nx++)
    
{
        
for (int ny=0; ny<340; ny++)
        
{
            
double x=nx-50;
            
double y=ny-50;
            
double xx=(x-cc1)/fc1;
            
double yy=(y-cc2)/fc2;
            
double r2=pow(xx,2)+pow(yy,2);
            
double r4=pow(r2,2);
            
double xxx=xx*(1+kc1*r2+kc2*r4)+2*kc3*xx*yy+kc4*(r2+2*xx*xx);
            
double yyy=yy*(1+kc1*r2+kc2*r4)+2*kc4*xx*yy+kc3*(r2+2*yy*yy);
            
double xxxx = xxx*fc1+cc1;
            
double yyyy = yyy*fc2+cc2;
            
if (xxxx>0 && xxxx<320 && yyyy>0 && yyyy<240)
            
{
                _I(Show2,nx,ny) 
= (int)_IF(ImageC1,xxxx,yyyy);
            }

            
else
            
{
                _I(Show2,nx,ny) 
= 0;
            }


        }

    }





    
//画线
    cvLine( Show1, cvPoint(0,10), cvPoint(320,10), cvScalar(255,255,255),3 );
    cvLine( Show1, cvPoint(
0,230), cvPoint(320,230), cvScalar(255,255,255),3 );
    cvLine( Show1, cvPoint(
10,0), cvPoint(10,240), cvScalar(255,255,255),3 );
    cvLine( Show1, cvPoint(
310,0), cvPoint(310,240), cvScalar(255,255,255),3 );
    cvLine( Show1, cvPoint(
0,0), cvPoint(320,240), cvScalar(255,255,255),3 );
    cvLine( Show1, cvPoint(
0,240), cvPoint(320,0), cvScalar(255,255,255),3 );

    cvLine( Show1, cvPoint(
0,10), cvPoint(320,10), cvScalar(0,0,0) );
    cvLine( Show1, cvPoint(
0,230), cvPoint(320,230), cvScalar(0,0,0) );
    cvLine( Show1, cvPoint(
10,0), cvPoint(10,240), cvScalar(0,0,0) );
    cvLine( Show1, cvPoint(
310,0), cvPoint(310,240), cvScalar(0,0,0) );
    cvLine( Show1, cvPoint(
0,0), cvPoint(320,240), cvScalar(0,0,0) );
    cvLine( Show1, cvPoint(
0,240), cvPoint(320,0), cvScalar(0,0,0) );

    
//显示
    cvShowImage("径向矫正1", Show1);
    cvShowImage(
"径向矫正2", Show2);
    cvWaitKey(
1);
    cvReleaseImage( 
&Show1 );    
    cvReleaseImage( 
&Show2 );    
    cvReleaseImage( 
&ImageC1 );    

}

原文地址:https://www.cnblogs.com/wqj1212/p/1052875.html