public void run(ImageProcessor ip) {
dimz = stack.getSize();
dimy = stack.getWidth();
dimx = stack.getHeight();
SaveDialog sd = new SaveDialog("Save Measurements as Text...", "res", ".dat");
String name = sd.getFileName();
if (name == null) return;
String directory = sd.getDirectory();
nb = calculnb(stack); // -1;
IJ.showStatus("Measure parameters for the " + nb + " objects ...");
if (nb < 1) {
IJ.showMessage("volume must be labeled");
} else {
double[] volume_m = new double[nb];
int[] volume_p = new int[nb];
double[] surface = new double[nb];
double[] surfacenb = new double[nb];
double[][][] I = new double[3][3][nb];
double[][] J = new double[3][nb];
double[][][] dir = new double[3][3][nb];
double[] xg = new double[nb];
double[] yg = new double[nb];
double[] zg = new double[nb];
byte[] bord = new byte[nb];
// double[] a = new double[nb];
// double[] b = new double[nb];
// double[] c = new double[nb];
// double[] Fab = new double[nb];
// double[] Fac = new double[nb];
// double[] Fbc = new double[nb];
// double[] sp = new double[nb];
double[][] lmin = new double[nb][3];
double[][] lmax = new double[nb][3];
IJ.showStatus("Measure surfaces ...");
calculmarchsurfstack(stack, nb, surface, volume_m);
calculmarchsurfstacknb(stack, nb, surfacenb);
// calculvolumestack(stack,nb,volume_p);
IJ.showStatus("Measure volumes and inertia ...");
calculcgstack(stack, nb, volume_p, xg, yg, zg);
calculinertiestack(stack, nb, xg, yg, zg, I);
inertie(nb, I, J, dir);
IJ.showStatus("Measure bounding boxes ...");
boitestack(stack, nb, xg, yg, zg, dir, lmin, lmax);
borderstack(stack, nb, bord);
IJ.showStatus("Save results ...");
sauvegarde(
volume_p, volume_m, surface, surfacenb, xg, yg, zg, J, dir, nb, bord, lmin, lmax,
directory, name);
volume_m = null;
volume_p = null;
surface = null;
xg = null;
yg = null;
zg = null;
}
}
void borderstack(final ImageStack stack1, int nb, byte[] b) {
final AtomicInteger ai = new AtomicInteger(0);
final int dimX = stack1.getWidth();
final int dimY = stack1.getHeight();
final int dimZ = stack1.getSize();
final byte[][] bord = new byte[dimZ][nb];
for (int ithread = 0; ithread < threads.length; ithread++) {
// Concurrently run in as many threads as CPUs
threads[ithread] =
new Thread() {
public void run() {
for (int superi = ai.getAndIncrement();
superi < dimZ;
superi = ai.getAndIncrement()) {
int k = superi;
ImageProcessor ip = stack1.getProcessor(k + 1);
for (int j = 0; j < dimY; j++) {
for (int i = 0; i < dimX; i++) {
int val = (int) (ip.getPixelValue(i, j));
if ((val != 0)
&& (i == 0
|| j == 0
|| k == 0
|| i == dimX - 1
|| j == dimY - 1
|| k == dimZ - 1))
// bord[k][val-2]=1;
bord[k][val - 1] = 1;
}
}
}
}
};
}
startAndJoin(threads);
for (int i = 0; i < dimZ; i++) {
for (int j = 0; j < nb; j++) {
b[j] *= (1 - bord[i][j]);
}
}
for (int j = 0; j < nb; j++) {
b[j] = (byte) (1 - b[j]);
}
}
public int calculnb(final ImageStack stack1) {
final AtomicInteger ai = new AtomicInteger(1);
final int dimX = stack1.getWidth();
final int dimY = stack1.getHeight();
final int dimZ = stack1.getSize();
final int[] value = new int[dimZ];
for (int ithread = 0; ithread < threads.length; ithread++) {
// Concurrently run in as many threads as CPUs
threads[ithread] =
new Thread() {
public void run() {
for (int superi = ai.getAndIncrement();
superi <= dimZ;
superi = ai.getAndIncrement()) {
int current = superi;
ImageProcessor ip = stack1.getProcessor(current);
for (int j = 0; j < dimY; j++) {
for (int i = 0; i < dimX; i++) {
int val = (int) (ip.getPixelValue(i, j));
if (val > value[current - 1]) value[current - 1] = val;
}
}
}
}
};
}
startAndJoin(threads);
int val = 0;
for (int i = 0; i < dimZ; i++) {
if (val < value[i]) val = value[i];
}
return val;
}
void calculvolumestack(final ImageStack stack1, int nb, int v[]) {
final AtomicInteger ai = new AtomicInteger(1);
final int dimX = stack1.getWidth();
final int dimY = stack1.getHeight();
final int dimZ = stack1.getSize();
final int[][] vol = new int[dimZ][nb];
for (int ithread = 0; ithread < threads.length; ithread++) {
// Concurrently run in as many threads as CPUs
threads[ithread] =
new Thread() {
public void run() {
for (int superi = ai.getAndIncrement();
superi <= dimZ;
superi = ai.getAndIncrement()) {
int current = superi;
ImageProcessor ip = stack1.getProcessor(current);
for (int j = 0; j < dimY; j++) {
for (int i = 0; i < dimX; i++) {
int val = (int) (ip.getPixelValue(i, j));
// if (val!=0) vol[current-1][val-2]++;
if (val != 0) vol[current - 1][val - 1]++;
}
}
}
}
};
}
startAndJoin(threads);
for (int i = 0; i < dimZ; i++) {
for (int j = 0; j < nb; j++) {
v[j] += vol[i][j];
}
}
}
void boitestack(
final ImageStack stack1,
final int nb,
final double[] xg,
final double[] yg,
final double[] zg,
final double[][][] dir,
double[][] lmin,
double[][] lmax) {
final AtomicInteger ai = new AtomicInteger(0);
final int dimX = stack1.getWidth();
final int dimY = stack1.getHeight();
final int dimZ = stack1.getSize();
final double[][][] lmint = new double[dimZ][nb][3];
final double[][][] lmaxt = new double[dimZ][nb][3];
for (int k = 0; k < nb; k++) {
lmin[k][0] = 100000;
lmin[k][1] = 100000;
lmin[k][2] = 100000;
lmax[k][0] = -100000;
lmax[k][1] = -100000;
lmax[k][2] = -100000;
}
for (int ithread = 0; ithread < threads.length; ithread++) {
// Concurrently run in as many threads as CPUs
threads[ithread] =
new Thread() {
public void run() {
for (int superi = ai.getAndIncrement();
superi < dimZ;
superi = ai.getAndIncrement()) {
int k = superi;
ImageProcessor ip = stack1.getProcessor(k + 1);
for (int l = 0; l < nb; l++) {
lmint[k][l][0] = 100000;
lmint[k][l][1] = 100000;
lmint[k][l][2] = 100000;
lmaxt[k][l][0] = -100000;
lmaxt[k][l][1] = -100000;
lmaxt[k][l][2] = -100000;
}
for (int j = 0; j < dimY; j++) {
for (int i = 0; i < dimX; i++) {
int pix = (int) (ip.getPixelValue(i, j));
if (pix != 0) {
// double v1 =
// (i-xg[pix-2])*dir[0][0][pix-2]+(j-yg[pix-2])*dir[1][0][pix-2]+(k-zg[pix-2])*dir[2][0][pix-2];
// double v2 =
// (i-xg[pix-2])*dir[0][1][pix-2]+(j-yg[pix-2])*dir[1][1][pix-2]+(k-zg[pix-2])*dir[2][1][pix-2];
// double v3 =
// (i-xg[pix-2])*dir[0][2][pix-2]+(j-yg[pix-2])*dir[1][2][pix-2]+(k-zg[pix-2])*dir[2][2][pix-2];
// if (v1<lmint[k][pix-2][0]) lmint[k][pix-2][0]=v1;
// if (v1>lmaxt[k][pix-2][0]) lmaxt[k][pix-2][0]=v1;
// if (v2<lmint[k][pix-2][1]) lmint[k][pix-2][1]=v2;
// if (v2>lmaxt[k][pix-2][1]) lmaxt[k][pix-2][1]=v2;
// if (v3<lmint[k][pix-2][2]) lmint[k][pix-2][2]=v3;
// if (v3>lmaxt[k][pix-2][2]) lmaxt[k][pix-2][2]=v3;
double v1 =
(i - xg[pix - 1]) * dir[0][0][pix - 1]
+ (j - yg[pix - 1]) * dir[1][0][pix - 1]
+ (k - zg[pix - 1]) * dir[2][0][pix - 1];
double v2 =
(i - xg[pix - 1]) * dir[0][1][pix - 1]
+ (j - yg[pix - 1]) * dir[1][1][pix - 1]
+ (k - zg[pix - 1]) * dir[2][1][pix - 1];
double v3 =
(i - xg[pix - 1]) * dir[0][2][pix - 1]
+ (j - yg[pix - 1]) * dir[1][2][pix - 1]
+ (k - zg[pix - 1]) * dir[2][2][pix - 1];
if (v1 < lmint[k][pix - 1][0]) lmint[k][pix - 1][0] = v1;
if (v1 > lmaxt[k][pix - 1][0]) lmaxt[k][pix - 1][0] = v1;
if (v2 < lmint[k][pix - 1][1]) lmint[k][pix - 1][1] = v2;
if (v2 > lmaxt[k][pix - 1][1]) lmaxt[k][pix - 1][1] = v2;
if (v3 < lmint[k][pix - 1][2]) lmint[k][pix - 1][2] = v3;
if (v3 > lmaxt[k][pix - 1][2]) lmaxt[k][pix - 1][2] = v3;
}
}
}
}
}
};
}
startAndJoin(threads);
for (int i = 0; i < dimZ; i++) {
for (int j = 0; j < nb; j++) {
for (int l = 0; l < 3; l++) {
if (lmint[i][j][l] < lmin[j][l]) lmin[j][l] = lmint[i][j][l];
if (lmaxt[i][j][l] > lmax[j][l]) lmax[j][l] = lmaxt[i][j][l];
}
}
lmint[i] = null;
lmaxt[i] = null;
}
}
void calculinertiestack(
final ImageStack stack1,
int nb,
final double[] xg,
final double[] yg,
final double[] zg,
double[][][] I) {
final AtomicInteger ai = new AtomicInteger(0);
final int dimX = stack1.getWidth();
final int dimY = stack1.getHeight();
final int dimZ = stack1.getSize();
final double[][][][] inert = new double[dimZ][nb][3][3];
for (int ithread = 0; ithread < threads.length; ithread++) {
// Concurrently run in as many threads as CPUs
threads[ithread] =
new Thread() {
public void run() {
for (int superi = ai.getAndIncrement();
superi < dimZ;
superi = ai.getAndIncrement()) {
int k = superi;
ImageProcessor ip = stack1.getProcessor(k + 1);
for (int j = 0; j < dimY; j++) {
for (int i = 0; i < dimX; i++) {
int pix = (int) (ip.getPixelValue(i, j));
if (pix != 0) {
//
// inert[k][pix-2][0][0]+=(i-yg[pix-2])*(i-yg[pix-2])+(k-zg[pix-2])*(k-zg[pix-2])+1.0/6.0;
// inert[k][pix-2][0][1]-=(j-xg[pix-2])*(i-yg[pix-2]);
// inert[k][pix-2][0][2]-=(j-xg[pix-2])*(k-zg[pix-2]);
//
// inert[k][pix-2][1][1]+=(j-xg[pix-2])*(j-xg[pix-2])+(k-zg[pix-2])*(k-zg[pix-2])+1.0/6.0;
// inert[k][pix-2][1][2]-=(i-yg[pix-2])*(k-zg[pix-2]);
//
// inert[k][pix-2][2][2]+=(j-xg[pix-2])*(j-xg[pix-2])+(i-yg[pix-2])*(i-yg[pix-2])+1.0/6.0;
inert[k][pix - 1][0][0] +=
(j - yg[pix - 1]) * (j - yg[pix - 1])
+ (k - zg[pix - 1]) * (k - zg[pix - 1])
+ 1.0 / 6.0;
inert[k][pix - 1][0][1] -= (i - xg[pix - 1]) * (j - yg[pix - 1]);
inert[k][pix - 1][0][2] -= (i - xg[pix - 1]) * (k - zg[pix - 1]);
inert[k][pix - 1][1][1] +=
(i - xg[pix - 1]) * (i - xg[pix - 1])
+ (k - zg[pix - 1]) * (k - zg[pix - 1])
+ 1.0 / 6.0;
inert[k][pix - 1][1][2] -= (j - yg[pix - 1]) * (k - zg[pix - 1]);
inert[k][pix - 1][2][2] +=
(i - xg[pix - 1]) * (i - xg[pix - 1])
+ (j - yg[pix - 1]) * (j - yg[pix - 1])
+ 1.0 / 6.0;
}
}
}
}
}
};
}
startAndJoin(threads);
for (int i = 0; i < dimZ; i++) {
for (int j = 0; j < nb; j++) {
for (int l = 0; l < 3; l++) {
for (int m = 0; m <= l; m++) {
I[l][m][j] += inert[i][j][l][m];
}
}
}
inert[i] = null;
}
for (int j = 0; j < nb; j++) {
I[1][0][j] = I[0][1][j];
I[2][0][j] = I[0][2][j];
I[2][1][j] = I[1][2][j];
}
}
void calculcgstack(
final ImageStack stack1,
int nb,
final int[] v,
final double[] xg,
final double[] yg,
final double[] zg) {
final AtomicInteger ai = new AtomicInteger(0);
final int dimX = stack1.getWidth();
final int dimY = stack1.getHeight();
final int dimZ = stack1.getSize();
final int[][] vol = new int[dimZ][nb];
final int[][] tmpxg = new int[dimZ][nb];
final int[][] tmpyg = new int[dimZ][nb];
final int[][] tmpzg = new int[dimZ][nb];
for (int ithread = 0; ithread < threads.length; ithread++) {
// Concurrently run in as many threads as CPUs
threads[ithread] =
new Thread() {
public void run() {
for (int superi = ai.getAndIncrement();
superi < dimZ;
superi = ai.getAndIncrement()) {
int k = superi;
ImageProcessor ip = stack1.getProcessor(k + 1);
for (int j = 0; j < dimY; j++) {
for (int i = 0; i < dimX; i++) {
int pix = (int) (ip.getPixelValue(i, j));
if (pix != 0) {
// tmpxg[k][pix-2] += j;
// tmpyg[k][pix-2] += i;
// tmpzg[k][pix-2] += k;
// vol[k][pix-2]++;
tmpxg[k][pix - 1] += i;
tmpyg[k][pix - 1] += j;
tmpzg[k][pix - 1] += k;
vol[k][pix - 1]++;
}
}
}
}
}
};
}
startAndJoin(threads);
for (int i = 0; i < dimZ; i++) {
for (int j = 0; j < nb; j++) {
v[j] += vol[i][j];
xg[j] += tmpxg[i][j];
yg[j] += tmpyg[i][j];
zg[j] += tmpzg[i][j];
}
}
for (int i = 0; i < nb; i++) {
xg[i] = (1.0 * xg[i] / v[i]);
yg[i] = (1.0 * yg[i] / v[i]);
zg[i] = (1.0 * zg[i] / v[i]);
}
}
void calculsurfacemarch3stack(final ImageStack stack1, int nb, final double[] tri, double[] s2) {
final AtomicInteger ai = new AtomicInteger(0);
final int dimX = stack1.getWidth();
final int dimY = stack1.getHeight();
final int dimZ = stack1.getSize();
final double[][] surf = new double[dimZ][nb];
for (int ithread = 0; ithread < threads.length; ithread++) {
// Concurrently run in as many threads as CPUs
threads[ithread] =
new Thread() {
public void run() {
for (int superi = ai.getAndIncrement();
superi < dimZ - 1;
superi = ai.getAndIncrement()) {
int k = superi;
ImageProcessor ip1, ip2;
ip1 = stack1.getProcessor(k + 1);
ip2 = stack1.getProcessor(k + 2);
for (int j = 0; j < dimY - 1; j++) {
for (int i = 0; i < dimX - 1; i++) {
int[] p = new int[8];
int p1, p2, p3, p4, p5, p6, p7, p8, ptot;
int[] nontab = new int[8];
ptot = (short) 0;
p[0] = (int) ip1.getPixelValue(i, j);
p[1] = (int) ip1.getPixelValue(i, j + 1);
p[2] = (int) ip2.getPixelValue(i, j);
p[3] = (int) ip2.getPixelValue(i, j + 1);
p[4] = (int) ip1.getPixelValue(i + 1, j);
p[5] = (int) ip1.getPixelValue(i + 1, j + 1);
p[6] = (int) ip2.getPixelValue(i + 1, j);
p[7] = (int) ip2.getPixelValue(i + 1, j + 1);
int pixcoul = 0;
for (int l = 0; l < 8; l++) nontab[l] = 0;
int cpt = 0;
// look for different colors
for (int l = 0; l < 8; l++) {
if (p[l] != 0 && appart(p[l], nontab, 8) == 1) {
nontab[cpt] = p[l];
cpt++;
}
}
for (int mm = 0; mm < cpt; mm++) {
p1 = 0;
p2 = 0;
p3 = 0;
p4 = 0;
p5 = 0;
p6 = 0;
p7 = 0;
p8 = 0;
if (p[0] != 0 && p[0] == nontab[mm]) {
pixcoul = nontab[mm];
p1 = 1;
}
if (p[1] != 0 && p[1] == nontab[mm]) {
pixcoul = nontab[mm];
p2 = 4;
}
if (p[2] != 0 && p[2] == nontab[mm]) {
pixcoul = nontab[mm];
p3 = 2;
}
if (p[3] != 0 && p[3] == nontab[mm]) {
pixcoul = nontab[mm];
p4 = 8;
}
if (p[4] != 0 && p[4] == nontab[mm]) {
pixcoul = nontab[mm];
p5 = 16;
}
if (p[5] != 0 && p[5] == nontab[mm]) {
pixcoul = nontab[mm];
p6 = 64;
}
if (p[6] != 0 && p[6] == nontab[mm]) {
pixcoul = nontab[mm];
p7 = 32;
}
if (p[7] != 0 && p[7] == nontab[mm]) {
pixcoul = nontab[mm];
p8 = 128;
}
ptot = (p1 + p2 + p3 + p4 + p5 + p6 + p7 + p8);
if (pixcoul != 0) {
surf[k][(int) (pixcoul - 1)] += tri[(int) (ptot)];
// surf[k][(int)(pixcoul-2)]+=tri[(int)(ptot)];
}
}
}
}
}
}
};
}
startAndJoin(threads);
for (int i = 0; i < dimZ; i++) {
for (int j = 0; j < nb; j++) {
s2[j] += surf[i][j];
}
}
}
