dLine
Conv::line_bck(const dLine & l, double acc, int max) const {
dLine ret;
if (l.size()==0) return ret;
dPoint P1 = l[0], P1a =P1; bck(P1a); ret.push_back(P1a);
dPoint P2, P2a;
for (int i=1; i<l.size(); i++){
P1 = l[i-1];
P2 = l[i];
double d = pdist(P1-P2)/(max+1)*1.5;
do {
P1a = P1; bck(P1a);
P2a = P2; bck(P2a);
dPoint C1 = (P1+P2)/2.;
dPoint C1a = C1; bck(C1a);
if ((pdist(C1a, (P1a+P2a)/2.) < acc) ||
(pdist(P1-P2) < d)){
ret.push_back(P2a);
P1 = P2;
P2 = l[i];
}
else {
P2 = C1;
}
} while (P1!=P2);
}
return ret;
}
dPoint
Conv::units_bck(dPoint p) const{
dPoint p1 = p + dPoint(1,0);
dPoint p2 = p + dPoint(0,1);
bck(p), bck(p1), bck(p2);
return dPoint(pdist(p1-p), pdist(p2-p));
}
static void consolidate (EXTREMUM *plst, int nlst) {
float x[3], t, dmin;
int i, j, imin, jmin, k;
int npair;
do { printf ("peak pairs closer than %.4f mm\n", dthresh);
dmin = 1.e6;
npair = 0;
for (i = 0; i < ntop && i < nlst; i++) {if (plst[i].killed) continue;
for (j = i + 1; j < ntop && j < nlst; j++) {if (plst[j].killed) continue;
t = (float) pdist (plst + i, plst + j);
if (t < dthresh) {
printf ("%5d%5d%10.4f\n", i + 1, j + 1, t);
if (t < dmin) {
imin = i;
jmin = j;
dmin = t;
}
npair++;
}
}}
printf ("npair = %d\n", npair);
if (npair) {
for (k = 0; k < 3; k++) {
x[k] = plst[imin].weight*plst[imin].x[k] + plst[jmin].weight*plst[jmin].x[k];
}
plst[imin].weight += plst[jmin].weight;
for (k = 0; k < 3; k++) plst[imin].x[k] = x[k] / plst[imin].weight;
plst[jmin].killed++;
npair--;
}
} while (npair);
}
double dist(const std::valarray<double>& a, const std::valarray<double>& b) const
{
#ifdef DEBUG
if (a.size()!=b.size()) ERROR("Vector size mismatch in distance.");
#endif
return pdist(&a[0],&b[0],a.size());
}
void lmoutr(double* v1, double* v2, double* v3, double* r, double *la, double *mu, double *ze)
{
double a[3], b[3], c[3], d[3];
double a_l=0, b_l=0, c_l=0, d_l=0;
double det, det_la, det_mu, det_ze;
int k;
for (k=0; k<3; k++)
{
a[k] = r[k]-v1[k];
b[k] = v2[k]-v1[k];
c[k] = v3[k]-v1[k];
a_l += a[k]*a[k];
b_l += b[k]*b[k];
c_l += c[k]*c[k];
}
a_l = sqrt(a_l);
b_l = sqrt(b_l);
c_l = sqrt(c_l);
if (a_l==0)
{
/* point lies exactly on the first vertex */
*la = 0;
*mu = 0;
*ze = 0;
return;
}
else if (b_l==0 || c_l==0)
{
/* this is a degenerate triangle, not possible to compute la/mu */
*la = mxGetNaN();
*mu = mxGetNaN();
*ze = mxGetNaN();
return;
}
else
{
/* compute vector d orthogonal to the triangle */
cross(b, c, d);
d_l = pdist(d);
/* normalize vector d */
d[0] = d[0]/d_l;
d[1] = d[1]/d_l;
d[2] = d[2]/d_l;
/* solve the system of equations using Cramer's method (method of determinants) */
/* c = la*a + mu*b + ze*o */
det = determinant(b, c, d);
det_la = determinant(a, c, d);
det_mu = determinant(b, a, d);
det_ze = determinant(b, c, a);
*la = det_la/det;
*mu = det_mu/det;
*ze = det_ze/det;
/* since d is an orthonormal vector to the plane, the distance of r */
/* to the plane equals the absolume value of parameter ze */
*ze = ((*ze)<0 ? -(*ze) : +(*ze));
}
return;
}
void CumulativeDtwRunner::calcBeta() {
// After filling the table score_(i, j) (which is also known as alpha(i, j) in the Forward-Backward Algorithm)
// , we also need to fill the table beta(i, j), which can be done by reversing the for-loop
beta_.Resize(qL_, dL_);
beta_.Memfill(float_inf);
int q = qL_ - 1, d = dL_ - 1;
#ifndef NO_HHTT
beta_(qL_ - 1, dL_ -1) = 0;
q = qL_ -1;
for (d = dL_ - 2; d >= 0; --d)
beta_(q, d) = beta_(q, d + 1) + pdist(q, d + 1);
#else
q = qL_ -1;
for (d = 0; d < dL_; ++d)
beta_(q, d) = 0;
#endif
d = dL_ - 1;
for (q = qL_ - 2; q >= 0; --q)
beta_(q, d) = beta_(q + 1, d) + pdist(q + 1, d);
// interior points
for (int d = dL_ - 2; d >= 0; --d) {
for (int q = qL_ - 2; q >= 0; --q) {
#ifndef NO_HHTT
#ifdef DTW_SLOPE_CONSTRAINT
if ( abs(q - d) > wndSize_ )
continue;
#endif
#endif
double s1 = beta_(q , d+1) + pdist(q , d+1),
s2 = beta_(q+1, d ) + pdist(q+1, d ),
s3 = beta_(q+1, d+1) + pdist(q+1, d+1);
double s = SMIN::eval(s1, s2, s3);
beta_(q, d) = s;
}
}
}
dLine
Conv::line_frw(const dLine & l, double acc, int max) const {
dLine ret;
if (l.size()==0) return ret;
dPoint P1 = l[0], P1a =P1;
frw(P1a); ret.push_back(P1a); // add first point
dPoint P2, P2a;
for (int i=1; i<l.size(); i++){
P1 = l[i-1];
P2 = l[i];
double d = pdist(P1-P2)/(max+1)*1.5;
do {
P1a = P1; frw(P1a);
P2a = P2; frw(P2a);
// C1 - is a center of (P1-P2)
// C2-C1 is a perpendicular to (P1-P2) with acc length
dPoint C1 = (P1+P2)/2.;
dPoint C2 = C1 + acc*pnorm(dPoint(P1.y-P2.y, -P1.x+P2.x));
dPoint C1a = C1; frw(C1a);
dPoint C2a = C2; frw(C2a);
if ((pdist(C1a, (P1a+P2a)/2.) < pdist(C1a,C2a)) ||
(pdist(P1-P2) < d)){
// go to the rest of line (P2-l[i])
ret.push_back(P2a);
P1 = P2;
P2 = l[i];
}
else {
// go to the first half (P1-C1) of current line
P2 = C1;
}
} while (P1!=P2);
}
return ret;
}
void CumulativeDtwRunner::CalScoreTable() {
// q == 0, d == 0
score_(0, 0) = pdist(0, 0);
// q == 0
for (int d = 1; d < dL_; ++d)
#ifndef NO_HHTT
score_(0, d) = score_(0, d - 1) + pdist(0, d);
#else
score_(0, d) = pdist(0, d);
#endif
// d == 0
for (int q = 1; q < qL_; ++q)
score_(q, 0) = score_(q - 1, 0) + pdist(q, 0);
// interior points
for (int d = 1; d < dL_; ++d) {
for (int q = 1; q < qL_; ++q) {
#ifdef DTW_SLOPE_CONSTRAINT
if ( abs(q - d) > wndSize_ )
continue;
#endif
double s1 = score_(q , d-1),
s2 = score_(q-1, d ),
s3 = score_(q-1, d-1);
double s = SMIN::eval(s1, s2, s3) + pdist(q, d);
score_(q, d) = s;
}
}
}
//
// R_PolysegCompare
//
// Callback for qsort to sort the segs of a polyobject. Returns such that the
// closer one is sorted first. I sure hope this doesn't break anything. -Red
//
static int R_PolysegCompare(const void *p1, const void *p2)
{
const seg_t *seg1 = *(const seg_t * const *)p1;
const seg_t *seg2 = *(const seg_t * const *)p2;
fixed_t dist1v1, dist1v2, dist2v1, dist2v2;
// TODO might be a better way to get distance?
#define pdist(x, y) (FixedMul(R_PointToDist(x, y), FINECOSINE((R_PointToAngle(x, y)-viewangle)>>ANGLETOFINESHIFT))+0xFFFFFFF)
#define vxdist(v) pdist(v->x, v->y)
dist1v1 = vxdist(seg1->v1);
dist1v2 = vxdist(seg1->v2);
dist2v1 = vxdist(seg2->v1);
dist2v2 = vxdist(seg2->v2);
if (min(dist1v1, dist1v2) != min(dist2v1, dist2v2))
return min(dist1v1, dist1v2) - min(dist2v1, dist2v2);
{ // That didn't work, so now let's try this.......
fixed_t delta1, delta2, x1, y1, x2, y2;
vertex_t *near1, *near2, *far1, *far2; // wherever you are~
delta1 = R_PointToDist2(seg1->v1->x, seg1->v1->y, seg1->v2->x, seg1->v2->y);
delta2 = R_PointToDist2(seg2->v1->x, seg2->v1->y, seg2->v2->x, seg2->v2->y);
delta1 = FixedDiv(128<<FRACBITS, delta1);
delta2 = FixedDiv(128<<FRACBITS, delta2);
if (dist1v1 < dist1v2)
{
near1 = seg1->v1;
far1 = seg1->v2;
}
else
{
near1 = seg1->v2;
far1 = seg1->v1;
}
if (dist2v1 < dist2v2)
{
near2 = seg2->v1;
far2 = seg2->v2;
}
else
{
near2 = seg2->v2;
far2 = seg2->v1;
}
x1 = near1->x + FixedMul(far1->x-near1->x, delta1);
y1 = near1->y + FixedMul(far1->y-near1->y, delta1);
x2 = near2->x + FixedMul(far2->x-near2->x, delta2);
y2 = near2->y + FixedMul(far2->y-near2->y, delta2);
return pdist(x1, y1)-pdist(x2, y2);
}
#undef vxdist
#undef pdist
}
at::real GLineSegment2D::length() const {
return pdist(p1, p2);
}
at::real pdist(const at::Point& p, int x, int y) {
return pdist(p, at::Point(x,y));
}
inline double dist(const double* a, const double* b, unsigned long n)
{
return pdist(a,b,n);
}
int main (int argc, char *argv[]) {
FILE *imgfp; /* input file */
FILE *outfp; /* output file */
/*************/
/* image i/o */
/*************/
char *ptr, string[MAXL], program[MAXL], command[MAXL];
char imgroot[MAXL], imgfile[MAXL], ifhfile[MAXL];
char mskroot[MAXL], mskfile[MAXL];
char tmproot[MAXL], tmpfile[MAXL];
char trailer[MAXL] = "", outroot[MAXL], outfile[MAXL], recfile[MAXL];
/***************/
/* computation */
/***************/
float *imgv, *imgr, *imgm;
float v, frac, t, del2v, dmin;
float fndex[3], x[3], w[3], dvdx[3], d2vdx2[3];
float ctneg = 0.0, ctpos = 0.0;
float vtneg = 0.0, vtpos = 0.0;
float srad = 0.0, orad = 0;
int ix, iy, iz, dim, nx, ny, nz;
int c, i, j, k, l, jmin;
int isbig, isbigm;
char control = '\0';
/**************/
/* peak lists */
/**************/
EXTREMUM *ppos, *pneg, *pall, *pallN, ptmp[1];
int mpos = 0, mneg = 0, npos = 0, nneg = 0, nall, nallN, Nvoxcrit = 1;
int npos0, npos1, npos2;
int nneg0, nneg1, nneg2;
/*********/
/* flags */
/*********/
int mask = 0;
int status = 0;
int debug = 0;
int quiet = 0;
int forceblur = 0;
printf ("%s\n", rcsid);
if (!(ptr = strrchr (argv[0], '/'))) ptr = argv[0]; else ptr++;
strcpy (program, ptr);
/******************************/
/* get command line arguments */
/******************************/
for (k = 0, i = 1; i < argc; i++) {
if (*argv[i] == '-') {
strcpy (command, argv[i]); ptr = command;
while (c = *ptr++) switch (c) {
case 'q': quiet++; break;
case 'F': forceblur++; break;
case 's': srad = atof (ptr); *ptr = '\0'; break;
case 'd': dthresh = atof (ptr); *ptr = '\0'; break;
case 'n': ntop = atoi (ptr); *ptr = '\0'; break;
case 'N': Nvoxcrit = atoi (ptr); *ptr = '\0'; break;
case 'o': orad = atof (ptr); *ptr = '\0'; break;
case '@': control = *ptr++; *ptr = '\0'; break;
case 'c': getrange (ptr, &ctneg, &ctpos); *ptr = '\0'; break;
case 'v': getrange (ptr, &vtneg, &vtpos); *ptr = '\0'; break;
case 'm': getroot (ptr, mskroot); mask++; *ptr = '\0'; break;
case 'a': strncpy (trailer, ptr, MAXL - 1); *ptr = '\0'; break;
}
} else switch (k) {
case 0: getroot (argv[i], imgroot); k++; break;
}
}
if (k < 1) {
printf ("Usage: %s <file_4dfp>\n", program);
printf (" e.g., %s grand_average_222[.4dfp.img] -s10\n", program);
printf ("\toption\n");
printf ("\t-s<flt>\tpreblur with hard sphere kernel of specified radius\n");
printf ("\t-n<int>\tlimit initial pos and neg peak list lengths (default=%d)\n", NTOP);
printf ("\t-c<flt>[to<flt>] specify sign inverted curvature thresholds (default none)\n");
printf ("\t-v<flt>[to<flt>] specify peak value thresholds (default none)\n");
printf ("\t-d<flt>\tconsolidate extremum pairs closer than specified distance\n");
printf ("\t-o<flt>\toutput a fidl compatible 4dfp format ROI file with regions of specified radius\n");
printf ("\t-m<str>\tapply named mask file to output ROIs\n");
printf ("\t-N<int>\tspecify output ROI minimum voxel count (default = 1)\n");
printf ("\t-a<str>\tappend specified string to ROI output filename\n");
printf ("\t-q\tquiet mode (suppress rec file listing)\n");
printf ("\t-F\tforce preblur image creation even if hsphere_4dfp result exists\n");
printf ("\t-@<b|l>\toutput big or little endian (default input endian)\n");
printf ("N.B.:\toperations controlled by options -s, -n, -c, -v, -d, -o, -m, -N are applied serially in listed order\n");
printf ("N.B.:\tall distances are in mm\n");
printf ("N.B.:\toption -s<flt> creates a blurred image by invoking hsphere_4dfp\n");
printf ("N.B.:\toption -F is intended for use in iterative scripts and has no effect absent -s<flt>\n");
exit (1);
}
/************/
/* read ifh */
/************/
sprintf (imgfile, "%s.4dfp.img", imgroot);
if (srad > 0.0) {
sprintf (tmproot, "%s_%.0fmm", imgroot, srad);
} else {
strcpy (tmproot, imgroot);
}
sprintf (tmpfile, "%s.4dfp.img", tmproot);
sprintf (ifhfile, "%s.4dfp.ifh", imgroot);
fprintf (stdout, "Reading: %s\n", ifhfile);
if (Getifh (ifhfile, &imgifh)) errr (program, ifhfile);
isbig = strcmp (imgifh.imagedata_byte_order, "littleendian");
if (!control) control = (isbig) ? 'b' : 'l';
printf ("image dimensions \t%10d%10d%10d%10d\n",
imgifh.matrix_size[0], imgifh.matrix_size[1], imgifh.matrix_size[2], imgifh.matrix_size[3]);
printf ("image mmppix \t%10.6f%10.6f%10.6f\n",
imgifh.mmppix[0], imgifh.mmppix[1], imgifh.mmppix[2]);
printf ("image center \t%10.4f%10.4f%10.4f\n",
imgifh.center[0], imgifh.center[1], imgifh.center[2]);
printf ("image orientation\t%10d\n", imgifh.orientation);
/********************************************************************/
/* check that optionally specified mask is dimensionally consistent */
/********************************************************************/
if (mask) {
sprintf (mskfile, "%s.4dfp.img", mskroot);
sprintf (ifhfile, "%s.4dfp.ifh", mskroot);
fprintf (stdout, "Reading: %s\n", ifhfile);
if (Getifh (ifhfile, &mskifh)) errr (program, ifhfile);
isbigm = strcmp (mskifh.imagedata_byte_order, "littleendian");
status = imgifh.orientation - mskifh.orientation;
for (k = 0; k < 3; k++) {
status |= imgifh.matrix_size[k] - mskifh.matrix_size[k];
status |= (fabs ((double) (imgifh.mmppix[k] - mskifh.mmppix[k])) > 0.0001);
}
if (status) {
fprintf (stderr, "%s: %s %s dimension mismatch\n", program, imgroot, mskroot);
exit (-1);
}
}
dim = 1; for (k = 0; k < 3; k++) dim *= imgifh.matrix_size[k];
if (!(imgv = (float *) malloc (dim * sizeof (float)))) errm (program);
if (!(imgr = (float *) malloc (dim * sizeof (float)))) errm (program);
if (!(imgm = (float *) malloc (dim * sizeof (float)))) errm (program);
nx = imgifh.matrix_size[0];
ny = imgifh.matrix_size[1];
nz = imgifh.matrix_size[2];
/*****************************************/
/* virtual flip instead of x4dfp2ecat () */
/*****************************************/
vrtflip_ (&imgifh.orientation, imgifh.matrix_size, imgifh.center, imgifh.mmppix, centerr, mmppixr);
printf ("atlas mmppix \t%10.6f%10.6f%10.6f\n", mmppixr[0], mmppixr[1], mmppixr[2]);
printf ("atlas center \t%10.4f%10.4f%10.4f\n", centerr[0], centerr[1], centerr[2]);
/****************************************************/
/* read filtered image or create using hpshere_4dfp */
/****************************************************/
if (forceblur || access (tmpfile, R_OK)) {
sprintf (command, "hsphere_4dfp %s %.4f", imgfile, srad);
printf ("%s\n", command);
if (system (command)) errw (program, tmpfile);
}
printf ("Reading: %s\n", tmpfile);
if (!(imgfp = fopen (tmpfile, "rb")) || eread (imgv, dim, isbig, imgfp)
|| fclose (imgfp)) errr (program, tmpfile);
/************************************************************************************************/
/* intial extremum memory allocation (realloc on unassigned pointer => unpredictable core dump) */
/************************************************************************************************/
if (!(ppos = (EXTREMUM *) malloc ((mpos = MSIZE) * sizeof (EXTREMUM)))) errm (program);
if (!(pneg = (EXTREMUM *) malloc ((mneg = MSIZE) * sizeof (EXTREMUM)))) errm (program);
/*******************/
/* compile extrema */
/*******************/
printf ("peak value thresholds %10.4f to %10.4f\n", vtneg, vtpos);
printf ("peak curvature thresholds %10.4f to %10.4f\n", ctneg, ctpos);
printf ("compiling extrema slice");
for (iz = 1; iz < imgifh.matrix_size[2] - 1; iz++) {printf (" %d", iz + 1); fflush (stdout);
for (iy = 1; iy < imgifh.matrix_size[1] - 1; iy++) {
for (ix = 1; ix < imgifh.matrix_size[0] - 1; ix++) {
i = ix + nx*(iy + ny*iz);
dvdx[0] = 0.5*(-imgv[i - 1] + imgv[i + 1]);
dvdx[1] = 0.5*(-imgv[i - nx] + imgv[i + nx]);
dvdx[2] = 0.5*(-imgv[i - nx*ny] + imgv[i + nx*ny]);
d2vdx2[0] = -2.0*imgv[i] + imgv[i - 1] + imgv[i + 1];
d2vdx2[1] = -2.0*imgv[i] + imgv[i - nx] + imgv[i + nx];
d2vdx2[2] = -2.0*imgv[i] + imgv[i - nx*ny] + imgv[i + nx*ny];
for (k = 0; k < 3; k++) w[k] = -dvdx[k] / d2vdx2[k];
for (del2v = k = 0; k < 3; k++) del2v += d2vdx2[k] / (mmppixr[k] * mmppixr[k]);
fndex[0] = (float) (ix + 1) + w[0];
fndex[1] = (float) (iy + 1) + w[1];
fndex[2] = (float) (iz + 1) + w[2];
for (k = 0; k < 3; k++) x[k] = fndex[k] * mmppixr[k] - centerr[k];
if (imgv[i] > 0.0
&& del2v <= -ctpos
&& imgv[i] > imgv[i - 1] && imgv[i] > imgv[i + 1]
&& imgv[i] > imgv[i - nx] && imgv[i] > imgv[i + nx]
&& imgv[i] > imgv[i - nx*ny] && imgv[i] > imgv[i + nx*ny]) {
imgvalx_ (imgv, &nx, &ny, &nz, centerr, mmppixr, x, &t, &l);
if (l < 1) {printf ("undefined imgvalx point\n"); continue;}
if (t < vtpos) continue;
if (mpos <= npos) {
mpos += MSIZE;
if (!(ppos = (EXTREMUM *) realloc (ppos, mpos * sizeof (EXTREMUM)))) errm (program);
}
for (k = 0; k < 3; k++) ppos[npos].x[k] = x[k];
ppos[npos].v = t;
ppos[npos].del2v = del2v;
ppos[npos].weight = 1.0;
ppos[npos].nvox = ppos[npos].killed = 0;
npos++;
}
if (imgv[i] < 0.0
&& del2v >= -ctneg
&& imgv[i] < imgv[i - 1] && imgv[i] < imgv[i + 1]
&& imgv[i] < imgv[i - nx] && imgv[i] < imgv[i + nx]
&& imgv[i] < imgv[i - nx*ny] && imgv[i] < imgv[i + nx*ny]) {
imgvalx_ (imgv, &nx, &ny, &nz, centerr, mmppixr, x, &t, &l);
if (l < 1) {printf ("undefined imgvalx point\n"); continue;}
if (t > vtneg) continue;
if (mneg <= nneg) {
mneg += MSIZE;
if (!(pneg = (EXTREMUM *) realloc (pneg, mneg * sizeof (EXTREMUM)))) errm (program);
}
for (k = 0; k < 3; k++) pneg[nneg].x[k] = x[k];
pneg[nneg].v = t;
pneg[nneg].del2v = del2v;
pneg[nneg].weight = 1.0;
pneg[nneg].nvox = pneg[nneg].killed = 0;
nneg++;
}
}}}
printf ("\n"); fflush (stdout);
printf ("before sorting npos=%d nneg=%d\n", npos, nneg); npos0 = npos; nneg0 = nneg;
qsort ((void *) ppos, npos, sizeof (EXTREMUM), pcompare);
qsort ((void *) pneg, nneg, sizeof (EXTREMUM), pcompare);
printf ("positive peaks\n");
ntot = 0;
peaklist (stdout, ppos, npos, 0); npos1 = ntot;
if (dthresh > 0.0) consolidate (ppos, npos);
printf ("negative peaks\n");
ntot = 0;
peaklist (stdout, pneg, nneg, 0); nneg1 = ntot;
if (dthresh > 0.0) consolidate (pneg, nneg);
printf ("final peak list\n");
ntot = 0;
peaklist (stdout, ppos, npos, 0);
peaklist (stdout, pneg, nneg, 0);
/********************************************/
/* combine positive and negative peak lists */
/********************************************/
if (!(pall = (EXTREMUM *) malloc (ntot * sizeof (EXTREMUM)))) errm (program);
nall = 0;
for (npos2 = i = 0; i < ntop && i < npos; i++) if (!ppos[i].killed) {pall[nall++] = ppos[i]; npos2++;}
for (nneg2 = i = 0; i < ntop && i < nneg; i++) if (!pneg[i].killed) {pall[nall++] = pneg[i]; nneg2++;}
assert (ntot == nall);
free (ppos); free (pneg);
if (orad == 0.0) goto DONE;
/***************************/
/* create output ROI image */
/***************************/
printf ("Reading: %s\n", imgfile);
if (!(imgfp = fopen (imgfile, "rb")) || eread (imgv, dim, isbig, imgfp)
|| fclose (imgfp)) errr (program, imgfile);
if (mask) {
printf ("Reading: %s\n", mskfile);
if (!(imgfp = fopen (mskfile, "rb")) || eread (imgm, dim, isbigm, imgfp)
|| fclose (imgfp)) errr (program, mskfile);
}
/****************************/
/* count voxels in each ROI */
/****************************/
for (iz = 0; iz < imgifh.matrix_size[2]; iz++) {
for (iy = 0; iy < imgifh.matrix_size[1]; iy++) {
for (ix = 0; ix < imgifh.matrix_size[0]; ix++) {
i = ix + nx*(iy + ny*iz);
fndex[0] = (float) (ix + 1);
fndex[1] = (float) (iy + 1);
fndex[2] = (float) (iz + 1);
for (k = 0; k < 3; k++) ptmp[0].x[k] = fndex[k]*mmppixr[k] - centerr[k];
dmin = 1.e6;
for (j = 0; j < nall; j++) {
t = (float) pdist (ptmp, pall + j);
if (t < dmin) {
jmin = j;
dmin = t;
}
}
k = !mask || (fabs (imgm[i]) > 1.e-37);
if (k && (dmin < orad)) pall[jmin].nvox++;
}}}
/*******************************/
/* apply voxel count criterion */
/*******************************/
for (i = 0; i < ntot; i++) if (pall[i].nvox < Nvoxcrit) pall[i].killed = 1;
if (!(pallN = (EXTREMUM *) malloc (ntot * sizeof (EXTREMUM)))) errm (program);
for (nallN = i = 0; i < ntot; i++) if (!pall[i].killed) pallN[nallN++] = pall[i];
free (pall);
printf ("creating ROI slice");
for (iz = 0; iz < imgifh.matrix_size[2]; iz++) {printf (" %d", iz + 1); fflush (stdout);
for (iy = 0; iy < imgifh.matrix_size[1]; iy++) {
for (ix = 0; ix < imgifh.matrix_size[0]; ix++) {
i = ix + nx*(iy + ny*iz);
imgr[i] = 0.0;
fndex[0] = (float) (ix + 1);
fndex[1] = (float) (iy + 1);
fndex[2] = (float) (iz + 1);
for (k = 0; k < 3; k++) ptmp[0].x[k] = fndex[k]*mmppixr[k] - centerr[k];
dmin = 1.e6;
for (j = 0; j < nallN; j++) {
t = (float) pdist (ptmp, pallN + j);
if (t < dmin) {
jmin = j;
dmin = t;
}
}
k = !mask || (fabs (imgm[i]) > 1.e-37);
if (k && (dmin < orad)) imgr[i] = jmin + 2;
}}}
printf ("\n"); fflush (stdout);
if (!(ptr = strrchr (imgroot, '/'))) ptr = imgroot; else ptr++;
if (strlen (trailer)) {
sprintf (outroot, "%s_ROI_%s", ptr, trailer);
} else {
sprintf (outroot, "%s_ROI", ptr);
}
sprintf (outfile, "%s.4dfp.img", outroot);
printf ("Writing: %s\n", outfile);
if (!(outfp = fopen (outfile, "wb")) || ewrite (imgr, dim, control, outfp)
|| fclose (outfp)) errw (program, outfile);
/********************************************/
/* output ROI ifh and make analyze hdr file */
/********************************************/
if (Writeifh (program, outfile, &imgifh, control)) errw (program, outroot);
sprintf (outfile, "%s.4dfp.ifh", outroot);
if (!(outfp = fopen (outfile, "a"))) errw (program, outfile);
for (i = 0; i < nallN; i++) {
fprintf (outfp, "region names\t:= %-5droi_%+03d_%+03d_%+03d%10d\n", i,
nint (pallN[i].x[0]), nint (pallN[i].x[1]), nint (pallN[i].x[2]), pallN[i].nvox);
}
fclose (outfp);
/********************/
/* make analyze hdr */
/********************/
sprintf (command, "ifh2hdr %s -r%d", outroot, nallN + 1);
printf ("%s\n", command); status |= system (command);
/******************/
/* output ROI rec */
/******************/
sprintf (outfile, "%s.4dfp.img", outroot);
startrece (outfile, argc, argv, rcsid, control);
sprintf (recfile, "%s.rec", outfile);
if (!(outfp = fopen (recfile, "a"))) errw (program, recfile);
fprintf (outfp, "Peak value thresholds %10.4f to %10.4f\n", vtneg, vtpos);
fprintf (outfp, "Peak curvature thresholds %10.4f to %10.4f\n", ctneg, ctpos);
fprintf (outfp, "Peak counts before sorting pos=%d neg=%d\n", npos0, nneg0);
fprintf (outfp, "Peak counts after sorting pos=%d neg=%d\n", npos1, nneg1);
fprintf (outfp, "Peak counts after %.4f mm threshold consolidation pos=%d neg=%d\n", dthresh, npos2, nneg2);
ntot = 0; peaklist (outfp, pallN, nallN, 1);
free (pallN);
fprintf (outfp, "N.B.: indices count from 1 and include orientation specific 4dfptoanalyze flips\n");
fclose (outfp);
catrec (tmpfile);
if (mask) catrec (mskfile);
endrec ();
sprintf (command, "brec %s -2", recfile); if (!quiet) system (command);
DONE: free (imgv); free (imgr); free (imgm);
exit (status);
}
int main(int argc, char* argv[])
{
// Number of threads
unsigned int n_threads = boost::thread::hardware_concurrency();
std::cout << "Number of available threads " << n_threads << std::endl;
likelihood l(5, 5, 9);
double nexp[5][5] = {{1., 1.6, 0.6, 0.2, 0.0},
{0., 15.4, 2.3, 0.0, 0.0},
{0., 2.5, 4.1, 0.0, 0.0},
{0., 3.3, 0.0, 1.1, 0.0},
{0., 9.5, 10.0, 0.7, 39.2}};
std::cout << "n(regions) = " << l.nr()
<< ", n(processes) = " << l.np()
<< ", n(systematics) = " << l.ns() << std::endl;
for (unsigned int ir = 0; ir < l.nr(); ir++)
for (unsigned int ip = 0; ip < l.np(); ip++) {
l.set_nexp(ir, ip, nexp[ir][ip]);
for (unsigned int is = 0; is < l.ns(); is++) {
double dsyst = 0.;
if (is < 2 && ip != 4) // Jet/MET
dsyst = (0.1 - 0.05 * is) * (1. + ir * 0.05);
else if (is < 7 && (is - 2 == ip)) // Theory
dsyst = (ip == 4) ? 1. : 0.5;
else if (is == 7 && (ir == 1 || ir == 2)) // b-tagging
dsyst = (-1. + (ir - 1) * 2.) * 0.1;
else if (is == 8) // Photon id efficiency
dsyst = 0.05;
l.set_dsyst(ir, ip, is, dsyst);
}
}
// Setup minimizer
unsigned int nparams = l.np()+l.ns();
boost::scoped_array<double> p0(new double[nparams]);
boost::scoped_array<double> popt(new double[nparams]);
for (unsigned int i = 0; i < nparams; i++)
p0[i] = (i < l.np()) ? 1. : 0.;
boost::function<double (double * const)> feval;
feval = boost::bind(&likelihood::eval, &l, _1);
optimize::minimizer_nm mle_nm(feval, l.np()+l.ns());
optimize::minimizer_bfgs mle_bfgs(feval, l.np()+l.ns());
// Setup random generation of poisson distributed numbers
boost::mt19937 gen;
typedef boost::poisson_distribution<unsigned int> t_poisson;
typedef boost::scoped_ptr< t_poisson > t_ptr_poisson;
typedef boost::variate_generator< boost::mt19937&, t_poisson > t_gen;
typedef boost::scoped_ptr< t_gen > t_ptr_gen;
boost::scoped_array< t_ptr_poisson > pdist(new t_ptr_poisson[l.nr()]);
boost::scoped_array< t_ptr_gen > rndgen(new t_ptr_gen[l.ns()]);
for (unsigned int ir = 0; ir < l.nr(); ir++) {
std::cout << "region" << ir << " nexp = "
<< l.nexp(ir, p0.get()) << std::endl;
pdist[ir].reset(new t_poisson(l.nexp(ir, p0.get())));
rndgen[ir].reset(new t_gen(gen, *(pdist[ir])));
}
boost::timer time_monitor;
double dt[3] = {0., 0., 0.};
unsigned int ntoys = 10;
for (unsigned int iexp = 0; iexp < ntoys; iexp++) {
std::cout << "Starting experiment " << iexp << std::endl;
// Generate pseudo-experiment random numbers
for (unsigned int ir = 0; ir < l.nr(); ir++) {
l.set_nobs(ir, (*(rndgen[ir]))());
std::cout << " region" << ir
<< " nobs = " << l.nobs(ir)
<< " nexp = " << l.nexp(ir, p0.get()) << std::endl;
}
std::cout << " Perform a minimization " << std::endl;
// Minimize with Nelder-Mean without mt
mle_nm.set_is_mt(false);
time_monitor.restart();
mle_nm.minimize(p0.get());
dt[0] = time_monitor.elapsed();
std::cout << " min = (";
for (size_t i = 0; i < nparams; i++)
popt[i] = mle_nm.get_opt_var(i).value();
for (size_t i = 0; i < nparams; i++) {
if (i < l.nr())
std::cout << l.nexp(i, popt.get());
else
std::cout << mle_nm.get_opt_var(i).value();
if (i < nparams - 1) std::cout << ", ";
}
std::cout << ") fmin = " << mle_nm.get_fmin() << std::endl;
// Minimize with Nelder-Mean with mt
mle_nm.set_is_mt(true);
time_monitor.restart();
mle_nm.minimize(p0.get());
dt[1] = time_monitor.elapsed();
std::cout << " min = (";
for (size_t i = 0; i < nparams; i++)
popt[i] = mle_nm.get_opt_var(i).value();
for (size_t i = 0; i < nparams; i++) {
if (i < l.nr())
std::cout << l.nexp(i, popt.get());
else
std::cout << mle_nm.get_opt_var(i).value();
if (i < nparams - 1) std::cout << ", ";
}
std::cout << ") fmin = " << mle_nm.get_fmin() << std::endl;
// Minimize with BFGS
time_monitor.restart();
mle_bfgs.minimize(p0.get());
dt[2] = time_monitor.elapsed();
std::cout << " min = (";
for (size_t i = 0; i < nparams; i++)
popt[i] = mle_bfgs.get_opt_var(i).value();
for (size_t i = 0; i < nparams; i++) {
if (i < l.nr())
std::cout << l.nexp(i, popt.get());
else
std::cout << mle_bfgs.get_opt_var(i).value();
if (i < nparams - 1) std::cout << ", ";
}
std::cout << ") fmin = " << mle_bfgs.get_fmin() << std::endl;
std::cout << " timing " << dt[0] << " " << dt[1] << " " << dt[2]
<< std::endl;
std::cout << " ... done." << std::endl;
}
return 0;
}
void YARPFineOrientation::Apply(YARPImageOf<YarpPixelBGR>& src,
YARPImageOf<YarpPixelBGR>& dest,
YARPImageOf<YarpPixelFloat>& xdata,
YARPImageOf<YarpPixelFloat>& ydata,
YARPImageOf<YarpPixelFloat>& mdata)
{
int view = (dest.GetWidth()>0);
YARPImageOf<YarpPixelFloat>& orient = fine_orientation_data.Orient();
static YARPImageOf<YarpPixelMono> mask;
static IntegralImageTool ii;
if (view)
{
SatisfySize(src,dest);
}
for (int i=0;i<SHIFTS;i++)
{
SatisfySize(src,shifts[i]);
}
SatisfySize(src,mean);
static int shifts_x[SHIFTS], shifts_y[SHIFTS];
int ct = 0;
for (int dx=-1; dx<=2; dx++)
{
for (int dy=-1; dy<=2; dy++)
{
assert(ct<SHIFTS);
ii.Offset(src,shifts[ct],dx,dy,1);
shifts_x[ct] = dx;
shifts_y[ct] = dy;
ct++;
}
}
static YARPImageOf<YarpPixelFloat> mean, var, lx, ly, agree;
YARPImageOf<YarpPixelBGR>& mono = src;
SatisfySize(mono,mean);
SatisfySize(mono,var);
SatisfySize(mono,lx);
SatisfySize(mono,ly);
SatisfySize(mono,agree);
SatisfySize(mono,xdata);
SatisfySize(mono,ydata);
SatisfySize(mono,mdata);
int response_ct = 0;
IMGFOR(mono,x,y)
{
float total = 0;
float total2 = 0;
YarpPixelBGR& pix0 = src(x,y);
for (int k=0; k<SHIFTS; k++)
{
YarpPixelBGR& pix1 = shifts[k](x,y);
float v = pdist(pix0,pix1);
total += v;
#ifdef USE_LUMINANCE_FILTER
total2 += v*v;
#endif
}
mean(x,y) = total/SHIFTS;
#ifdef USE_LUMINANCE_FILTER
var(x,y) = total2/SHIFTS - (total/SHIFTS)*(total/SHIFTS);
#endif
}
