Ejemplo n.º 1
0
	// Show a complex array ---------------------------------------------------
	std::ostream& operator<<(std::ostream& ostrm,
		const MultidimArray< Complex >& v)
	{
		if (v.xdim == 0)
			ostrm << "NULL MultidimArray\n";
		else
			ostrm << std::endl;

		for (int l = 0; l < NSIZE(v); l++)
		{
			if (NSIZE(v)>1) ostrm << "Image No. " << l << std::endl;
			for (int k = STARTINGZ(v); k <= FINISHINGZ(v); k++)
			{
				if (ZSIZE(v) > 1) ostrm << "Slice No. " << k << std::endl;
				for (int i = STARTINGY(v); i <= FINISHINGY(v); i++)
				{
					for (int j = STARTINGX(v); j <= FINISHINGX(v); j++)
						ostrm << "(" << A3D_ELEM(v, k, i, j).real << "," << A3D_ELEM(v, k, i, j).imag << ")" << ' ';
					ostrm << std::endl;
				}
			}
		}

		return ostrm;
	}
Ejemplo n.º 2
0
/* Footprint of a blob ----------------------------------------------------- */
void footprint_blob(
    ImageOver &blobprint,         // blob foot_print table
    const struct blobtype &blob,  // blob description
    int   istep,            // number of foot-print samples per one sample
    // on projection plane in u,v directions
    int   normalise)        // set to 1 if you want normalise. Usually
// you may omit it and no normalisation is performed
{
    // Resize output image and redefine the origin of it
    int footmax = CEIL(blob.radius);
    blobprint.init(-footmax, footmax, istep, -footmax, footmax, istep);

    // Run for Imge class indexes
    for (int i = STARTINGY(blobprint()); i <= FINISHINGY(blobprint()); i++)
        for (int j = STARTINGX(blobprint()); j <= FINISHINGX(blobprint()); j++)
        {
            // Compute oversampled index and blob value
            double vi, ui;
            IMG2OVER(blobprint, i, j, vi, ui);
            double r = sqrt(vi * vi + ui * ui);
            IMGPIXEL(blobprint, i, j) = blob_proj(r, blob);
        }

    // Adjust the footprint structure
    if (normalise)
        blobprint() /= blobprint().sum();
}
Ejemplo n.º 3
0
//#define DEBUG
void normalize_tomography(MultidimArray<double> &I, double tilt, double &mui,
                          double &sigmai, bool tiltMask, bool tomography0,
                          double mu0, double sigma0)
{
    // Tilt series are always 2D
    I.checkDimension(2);

    const int L=2;

    // Build a mask using the tilt angle
    I.setXmippOrigin();
    MultidimArray<int> mask;
    mask.initZeros(I);
    int Xdimtilt=(int)XMIPP_MIN(FLOOR(0.5*(XSIZE(I)*cos(DEG2RAD(tilt)))),
                           0.5*(XSIZE(I)-(2*L+1)));
    int N=0;
    for (int i=STARTINGY(I); i<=FINISHINGY(I); i++)
        for (int j=-Xdimtilt; j<=Xdimtilt;j++)
        {
            A2D_ELEM(mask,i,j)=1;
            N++;
        }

    // Estimate the local variance
    MultidimArray<double> localVariance;
    localVariance.initZeros(I);
    double meanVariance=0;
    FOR_ALL_ELEMENTS_IN_ARRAY2D(I)
    {
        // Center a mask of size 5x5 and estimate the variance within the mask
        double meanPiece=0, variancePiece=0;
        double Npiece=0;
        for (int ii=i-L; ii<=i+L; ii++)
        {
            if (INSIDEY(I,ii))
                for (int jj=j-L; jj<=j+L; jj++)
                {
                    if (INSIDEX(I,jj))
                    {
                        double pixval=A2D_ELEM(I,ii,jj);
                        meanPiece+=pixval;
                        variancePiece+=pixval*pixval;
                        ++Npiece;
                    }
                }
        }
        meanPiece/=Npiece;
        variancePiece=variancePiece/(Npiece-1)-
                      Npiece/(Npiece-1)*meanPiece*meanPiece;
        A2D_ELEM(localVariance,i,j)=variancePiece;
        meanVariance+=variancePiece;
    }
    meanVariance*=1.0/N;

    // Test the hypothesis that the variance in this piece is
    // the same as the variance in the whole image
    double iFu=1/icdf_FSnedecor(4*L*L+4*L,N-1,0.975);
    double iFl=1/icdf_FSnedecor(4*L*L+4*L,N-1,0.025);
    double iMeanVariance=1.0/meanVariance;
    FOR_ALL_ELEMENTS_IN_ARRAY2D(localVariance)
    {
        if (A2D_ELEM(localVariance,i,j)==0)
            A2D_ELEM(mask,i,j)=-2;
        if (A2D_ELEM(mask,i,j)==1)
        {
            double ratio=A2D_ELEM(localVariance,i,j)*iMeanVariance;
            double thl=ratio*iFu;
            double thu=ratio*iFl;
            if (thl>1 || thu<1)
                A2D_ELEM(mask,i,j)=-1;
        }
    }
#ifdef DEBUG
    Image<double> save;
    save()=I;
    save.write("PPP.xmp");
    save()=localVariance;
    save.write("PPPLocalVariance.xmp");
    Image<int> savemask;
    savemask()=mask;
    savemask.write("PPPmask.xmp");
#endif

    // Compute the statistics again in the reduced mask
    double avg, stddev, min, max;
    computeStats_within_binary_mask(mask, I, min, max, avg, stddev);
    double cosTilt=cos(DEG2RAD(tilt));
    double iCosTilt=1.0/cosTilt;
    if (tomography0)
    {
        double iadjustedStddev=1.0/(sigma0*cosTilt);
        FOR_ALL_ELEMENTS_IN_ARRAY2D(I)
        switch (A2D_ELEM(mask,i,j))
        {
        case -2:
            A2D_ELEM(I,i,j)=0;
            break;
        case 0:
            if (tiltMask)
                A2D_ELEM(I,i,j)=0;
            else
                A2D_ELEM(I,i,j)=(A2D_ELEM(I,i,j)*iCosTilt-mu0)*iadjustedStddev;
            break;
        case -1:
        case 1:
            A2D_ELEM(I,i,j)=(A2D_ELEM(I,i,j)*iCosTilt-mu0)*iadjustedStddev;
            break;
        }
    }
    else
    {
Ejemplo n.º 4
0
// Evaluate plane ----------------------------------------------------------
double evaluatePlane(double rot, double tilt,
                     const MultidimArray<double> *V, const MultidimArray<double> *Vmag,
                     double maxFreq, double planeWidth, int direction,
                     MultidimArray<double> *Vdraw=NULL,
                     bool setPos=false, double rotPos=0, double tiltPos=0)
{
    if (rot<0 || rot>360 || tilt<-90 || tilt>90)
        return 0;

    Matrix2D<double> E, Einv;
    Euler_angles2matrix(rot,tilt,0,E);
    Einv=E.transpose();

    if (setPos)
    {
        Matrix2D<double> Epos;
        Euler_angles2matrix(rotPos,tiltPos,0,Epos);
        double angle=acos(E(2,0)*Epos(2,0)+E(2,1)*Epos(2,1)+E(2,2)*Epos(2,2));
        angle=RAD2DEG(angle);
        if (fabs(angle)<20 || fabs(180-angle)<20)
            return 0;
    }

    size_t N=XMIPP_MAX(XSIZE(*Vmag),YSIZE(*Vmag)/2);
    N=XMIPP_MAX(N,ZSIZE(*Vmag)/2);
    double df=0.5/N;
    Matrix1D<double> freq(3), freqp(3);
    Matrix1D<int> idx(3);
    double sumNeg=0, sumPos=0;
    int Nneg=0, Npos=0;
    double maxFreq2=maxFreq*maxFreq;
    int iPlaneWidth=(int)ceil(planeWidth);
    for (double ix=0; ix<=N; ix++)
    {
        XX(freq)=ix*df;
        double fx2=XX(freq)*XX(freq);
        if (fx2>maxFreq2)
            continue;
        for (double iy=-(int)N; iy<=N; iy++)
        {
            YY(freq)=iy*df;
            double fx2fy2=fx2+YY(freq)*YY(freq);
            if (fx2fy2>maxFreq2)
                continue;
            for (int iz=-iPlaneWidth; iz<=iPlaneWidth; iz++)
            {
                if (iz==0 || ix==0 || iy==0)
                    continue;

                // Frequency in the coordinate system of the plane
                ZZ(freq)=iz*df;

                // Frequency in the coordinate system of the volume
                SPEED_UP_temps012;
                M3x3_BY_V3x1(freqp,Einv,freq);
                bool inverted=false;
                if (XX(freqp)<0)
                {
                    XX(freqp)=-XX(freqp);
                    YY(freqp)=-YY(freqp);
                    ZZ(freqp)=-ZZ(freqp);
                    inverted=true;
                }

                // Get the corresponding index
                DIGFREQ2FFT_IDX(ZZ(freqp), ZSIZE(*V), ZZ(idx));
                DIGFREQ2FFT_IDX(YY(freqp), YSIZE(*V), YY(idx));
                DIGFREQ2FFT_IDX(XX(freqp), XSIZE(*V), XX(idx));
                if (XX(idx) < STARTINGX(*Vmag) || XX(idx) > FINISHINGX(*Vmag) ||
                    YY(idx) < STARTINGY(*Vmag) || YY(idx) > FINISHINGY(*Vmag) ||
                    ZZ(idx) < STARTINGZ(*Vmag) || ZZ(idx) > FINISHINGZ(*Vmag))
                    continue;

                // Make the corresponding sums
                bool negativeSum;
                if (direction==1)
                    negativeSum=iz<0;
                else
                    negativeSum=iz>0;
                double val=A3D_ELEM(*Vmag,ZZ(idx),YY(idx),XX(idx));
                if ((negativeSum && !inverted) || (!negativeSum && inverted)) // XOR
                {
                    sumNeg+=val;
                    Nneg++;
                    if (Vdraw!=NULL)
                        (*Vdraw)(idx)=2*direction*val;
                }
                else
                {
                    sumPos+=val;
                    Npos++;
                    if (Vdraw!=NULL)
                        (*Vdraw)(idx)=1.0/2.0*direction*val;
                }
            }
        }
    }
    if (fabs(Nneg-Npos)/(0.5*(Nneg+Npos))>0.5)
        // If there is a difference of more than 50%
        return 1e38;
    if (Nneg!=0)
        sumNeg/=Nneg;
    else
        return 1e38;
    if (Npos!=0)
        sumPos/=Npos;
    else
        return 1e38;

    return -(sumPos-sumNeg);
}