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| IplImage * im;
IplImage* Kernel1=NULL;
IplImage * realInput;
IplImage * imaginaryInput;
IplImage * complexInput;
int dft_M, dft_N;
CvMat* dft_A, tmp;
IplImage * image_Re;
IplImage * image_Im;
double m, M;
double* G1_ptr = NULL;
double sigma1=0.45;
IplImage* Result1=NULL;
im = cvLoadImage("U:\\Workspace\\lena.bmp",CV_LOAD_IMAGE_GRAYSCALE);
if( !im )
return -1;
realInput = cvCreateImage( cvGetSize(im), IPL_DEPTH_64F, 1);
imaginaryInput = cvCreateImage( cvGetSize(im), IPL_DEPTH_64F, 1);
complexInput = cvCreateImage( cvGetSize(im), IPL_DEPTH_64F, 2);
Kernel1= cvCreateImage(cvSize(im->width,im->height), IPL_DEPTH_64F,1);
Result1= cvCreateImage(cvSize(im->width,im->height), IPL_DEPTH_64F,1);
cvScale(im, realInput, 1.0, 0.0);
cvZero(imaginaryInput);
cvMerge(realInput, imaginaryInput, NULL, NULL, complexInput);
dft_M = cvGetOptimalDFTSize( im->height - 1 );
dft_N = cvGetOptimalDFTSize( im->width - 1 );
dft_A = cvCreateMat( dft_M, dft_N, CV_64FC2 );
image_Re = cvCreateImage( cvSize(dft_N, dft_M), IPL_DEPTH_64F, 1);
image_Im = cvCreateImage( cvSize(dft_N, dft_M), IPL_DEPTH_64F, 1);
// copy A to dft_A and pad dft_A with zeros
cvGetSubRect( dft_A, &tmp, cvRect(0,0, im->width, im->height));
cvCopy( complexInput, &tmp, NULL );
if( dft_A->cols > im->width )
{
cvGetSubRect( dft_A, &tmp, cvRect(im->width,0, dft_A->cols - im->width, im->height));
cvZero( &tmp );
}
// no need to pad bottom part of dft_A with zeros because of
// use nonzero_rows parameter in cvDFT() call below
cvDFT( dft_A, dft_A, CV_DXT_FORWARD, complexInput->height );
cvNamedWindow("win", 0);
cvShowImage("win", im);
// Split Fourier in real and imaginary parts
cvSplit( dft_A, image_Re, image_Im, 0, 0 );
// Compute the magnitude of the spectrum Mag = sqrt(Re^2 + Im^2)
cvPow( image_Re, image_Re, 2.0);
cvPow( image_Im, image_Im, 2.0);
cvAdd( image_Re, image_Im, image_Re, NULL);
cvPow( image_Re, image_Re, 0.5 );
// Compute log(1 + Mag) : passage en décibel
cvAddS( image_Re, cvScalarAll(1.0), image_Re, NULL ); // 1 + Mag
cvLog(image_Re,image_Re); // log(1 + Mag)
/*// Rearrange the quadrants of Fourier image so that the origin is at
// the image center
cvShiftDFT( image_Re, image_Re );
cvMinMaxLoc(image_Re, &m, &M, NULL, NULL, NULL);
cvScale(image_Re, image_Re, 1.0/(M-m), 1.0*(-m)/(M-m));*/
float X=0.0;
float Y=0.0;
for (int y = 0; y < image_Re->height; y++)
{
G1_ptr = (double *) (Kernel1->imageData + (Kernel1->widthStep *y));
for (int x = 0; x < image_Re->width; x++)
{
X=x-image_Re->width/2;
Y=y-image_Re->height/2;
(*G1_ptr) =exp(-sigma1*sigma1*(X*X+Y*Y)/2);
G1_ptr++;
}
}
cvMul(Kernel1,image_Re,Result1,1); //j'effectue mon filtrage frequentiel
cvNamedWindow("magnitude", 0);
cvShowImage("magnitude", Result1);
cvWaitKey(0); |
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