const QPixmap ribi::FilterOperationerMainDialog::DoFilterOperation(
const QPixmap& source,
const boost::numeric::ublas::matrix<double>& filter)
{
const std::vector<std::vector<int> > v {
PixmapToVector(source)
};
const std::vector<std::vector<double> > w {
MatrixToVector(filter)
};
const std::vector<std::vector<int> > x {
DoFilterOperation(
v, //y-x-ordered
w //y-x-ordered
)
};
const QImage image {
VectorToImage(x)
};
QPixmap result { QPixmap::fromImage(image) };
return result;
}
//---------------------------------------------------------------------------
void __fastcall TFormMain::ButtonDoClick(
TObject *Sender)
{
const std::vector<std::vector<int> > source_int = ImageToVector(ImageSource);
const std::vector<std::vector<double> > source = Convert<int,double>(source_int);
const std::vector<std::vector<double> > result_unscaled = DoFilterOperation(source,mFilter);
const std::vector<std::vector<double> > result_scaled = Rescale(result_unscaled,0.0,255.9);
const std::vector<std::vector<int> > result = Convert<double,int>(result_scaled);
VectorToImage(result,ImageTarget);
ImageTarget->Visible = true;
ImageTarget->Refresh();
ButtonSaveResult->Enabled = true;
++PageControl->ActivePageIndex;
}
/***************************************************************
[NAME]
SaveIteration
[SYNOPSIS]
void SaveIteration(Vector *MyVector,
int iteration,
char *filename)
[DESCRIPTION]
This function is used to save a series of images while iterating. The
function saves an image with the specified outputname + a number
indicating which iteration the picture represents.
[USAGE]
{\tt SaveIteration(TestVector, 123, "testImage");}
Saves the vector {\tt TestVector} as the image `{\tt testimage.123.pet}'.
[REVISION]
Dec. 94, JJJ
July 2006, Joern Schulz
***************************************************************/
void SaveIteration(Vector *MyVector, int iteration, char *filename)
{
char outfilename[100];
char itstr[10];
Image *NewImage;
strcpy(outfilename,filename);
sprintf(itstr,".%d",iteration);
strcat(outfilename,itstr);
NewImage=VectorToImage(MyVector,itINI.XSamples,itINI.YSamples);
RenameImage(NewImage,outfilename);
NewImage->DeltaX=itINI.DeltaX;
NewImage->DeltaY=itINI.DeltaY;
NewImage->Xmin=itINI.Xmin;
NewImage->Ymin=itINI.Ymin;
ScaleImage(NewImage);
WritePET(NewImage);
FreeImage(NewImage);
}
/****************************************************************************
[NAME]
SLOW\_ART
[SYNOPSIS]
Image *SLOW_ART(Vector *xvector,
Vector *bvector)
[DESCRIPTION]
This function will iterate towards a solution for the sparse system of
equations \mb{b}=\mb{A x}, where \mb{b} is the sinogram (Radon domain)
and \mb{x} is the reconstructed image to be found. The function uses a
slow version of ART (Algebraric Reconstruction Techniques) where the
transformation matrix is calculated on the fly.
[USAGE]
{\tt Image=ART(TestMatrix, TestSinogram);}
Reconstructs the sinogram {\tt TestSinogram}, returns it as an image.
[REVISION]
Jan. 95, JJJ and PT
July 06, J.Schulz, Modification of ReadRefImage and the condition to
SaveIterions
****************************************************************************/
Image *SLOW_ART(Vector *xvector, Vector *bvector)
{
int ARows,ACols,currentrow,currentiteration,TotalIterations,AntPrint,UseRefImage;
float denom,lambda,brk;
//refxdev=0.0;
float *tempXv,*tempBv;
char DiffFileName[200];
FILE *DiffFile=NULL;
Vector *refxvector=NULL,*AVector;
Image *Recon,*RefImage=NULL;
ARows=bvector->N;
ACols=xvector->N;
Print(_DNormal,"Using ART (slow) to solve %i equations with %i unknowns\n",
ARows,ACols);
UseRefImage=(strlen(itINI.RefFileName)!=0);
if (UseRefImage!=0) {
RefImage=ReadRefImage(itINI.RefFileName);
refxvector=ImageToVector(RefImage);
FreeImage(RefImage);
//refxdev=DeviationVector(refxvector);
strcpy(DiffFileName,itINI.RefFileName);
strcat(DiffFileName,".dif");
DiffFile=fopen(DiffFileName,"wt");
Print(_DNormal,"Logging differences in `%s' \n", DiffFileName);
}
tempXv=xvector->value;
tempBv=bvector->value;
//srand((int)clock());
lambda=itINI.Alpha/itINI.Beta;
TotalIterations=itINI.Iterations*ARows;
AntPrint=(int)(TotalIterations/93);
InitArrays();
for (currentiteration=0;currentiteration<TotalIterations;currentiteration++)
{
if (currentiteration%ARows==0) lambda*=itINI.Beta;
if (currentiteration%AntPrint==0)
Print(_DNormal,"Iterating %6.2f %% done\r",
(currentiteration+1)*100.0/TotalIterations);
if (itINI.IterationType==1)
currentrow=currentiteration%ARows;
else {
//currentrow=(int)(ARows*(float)rand()/(RAND_MAX+1.0));
GetRNGstate();
currentrow = (int)(ARows*runif(0, 1));
//currentrow = (int)(ARows*runif(0, RAND_MAX)/(RAND_MAX+1.0));
PutRNGstate();
}
AVector=GenerateAMatrixRow(currentrow);
denom=MultVectorVector(AVector,AVector);
if (fabs(denom)>1e-9)
{
brk=lambda*(tempBv[currentrow]-MultVectorVector(AVector,xvector))/denom;
ARTUpdateAddVector2(xvector, AVector, brk);
}
FreeVector(AVector);
if ( (itINI.SaveIterations) && (currentiteration != 0) && (!(currentiteration%(ARows*(itINI.SaveIterations)))) )
SaveIteration(xvector,(int)(currentiteration/ARows),itINI.SaveIterationsName);
if (UseRefImage==1)
if (currentiteration%AntPrint==0)
fprintf(DiffFile,"%f %f\n",(double)currentiteration/ARows,
(double)L2NormVector(refxvector,xvector));
/*fprintf(DiffFile,"%f %f\n",(double)currentiteration/ARows,
(double)L2NormVector(refxvector,xvector,refxdev));*/
}
Print(_DNormal," \r");
Recon=VectorToImage(xvector,itINI.XSamples,itINI.YSamples);
if (UseRefImage==1){
Print(_DNormal,"L2 = %9.6f \n",L2NormVector(refxvector,xvector));
//Print(_DNormal,"L2 = %9.6f \n",L2NormVector(refxvector,xvector,refxdev));
FreeVector(refxvector);
fclose(DiffFile);
}
RenameImage(Recon,"ReconstructedImage");
Recon->DeltaX=itINI.DeltaX;
Recon->DeltaY=itINI.DeltaY;
Recon->Xmin=itINI.Xmin;
Recon->Ymin=itINI.Ymin;
return Recon;
}
