public static final <T extends RealType<T>> void addGaussianNoiseToImage(
RandomAccessibleInterval<T> img, double sigma_noise) {
IterableInterval<T> iterImg = Views.iterable(img);
Cursor<T> lc = iterImg.localizingCursor();
double val;
T var = iterImg.firstElement().createVariable();
while (lc.hasNext()) {
lc.fwd();
val = Math.max(0, sigma_noise * ran.nextGaussian());
var.setReal(val);
lc.get().add(var);
}
}
@Override
public void compute1(final IterableInterval<I> input, final O output) {
double moment10 = 0;
final Cursor<I> cur = input.localizingCursor();
while (cur.hasNext()) {
cur.fwd();
double x = cur.getDoublePosition(0);
double val = cur.get().getRealDouble();
moment10 += x * val;
}
output.setReal(moment10);
}
@Override
public void compute(final RandomAccessibleInterval<T> input, final IterableInterval<V> output) {
final Cursor<V> cursor = output.localizingCursor();
final RandomAccess<T> access = input.randomAccess();
while (cursor.hasNext()) {
cursor.fwd();
for (int d = 0; d < input.numDimensions(); d++) {
if (d != dim) {
access.setPosition(cursor.getIntPosition(d - d > dim ? -1 : 0), d);
}
}
method.compute(new DimensionIterable(input.dimension(dim), access), cursor.get());
}
}
public static final <T extends RealType<T>> void addGaussianSpotToImage(
RandomAccessibleInterval<T> img, double[] params) {
IterableInterval<T> iterImg = Views.iterable(img);
Cursor<T> lc = iterImg.localizingCursor();
int nDims = img.numDimensions();
double[] position = new double[nDims];
double val;
T var = iterImg.firstElement().createVariable();
while (lc.hasNext()) {
lc.fwd();
lc.localize(position);
val = gaussian.val(position, params);
var.setReal(val);
lc.get().add(var);
}
}
@Override
public RealSum call() throws Exception {
final Cursor<FloatType> psiCursor = psiIterable.localizingCursor();
psiCursor.jumpFwd(portion.getStartPosition());
final int m = iterableImgs.size();
if (compatibleIteration) {
final ArrayList<Cursor<FloatType>> cursorWeights = new ArrayList<Cursor<FloatType>>();
final ArrayList<Cursor<FloatType>> cursorImgs = new ArrayList<Cursor<FloatType>>();
for (final IterableInterval<FloatType> img : iterableImgs) {
final Cursor<FloatType> imgCursor = img.cursor();
imgCursor.jumpFwd(portion.getStartPosition());
cursorImgs.add(imgCursor);
}
for (final IterableInterval<FloatType> weight : iterableWeights) {
final Cursor<FloatType> weightCursor = weight.cursor();
weightCursor.jumpFwd(portion.getStartPosition());
cursorWeights.add(weightCursor);
}
for (int j = 0; j < portion.getLoopSize(); ++j)
compatibleLoop(psiCursor, cursorWeights, cursorImgs, realSum, m);
} else {
final ArrayList<RandomAccess<FloatType>> randomAccessWeights =
new ArrayList<RandomAccess<FloatType>>();
final ArrayList<RandomAccess<FloatType>> randomAccessImgs =
new ArrayList<RandomAccess<FloatType>>();
for (final RandomAccessibleInterval<FloatType> img : imgs)
randomAccessImgs.add(img.randomAccess());
for (final RandomAccessibleInterval<FloatType> weight : weights)
randomAccessWeights.add(weight.randomAccess());
for (int j = 0; j < portion.getLoopSize(); ++j)
incompatibleLoop(psiCursor, randomAccessWeights, randomAccessImgs, realSum, m);
}
return realSum;
}
@Override
public void compute(final IterableInterval<I> input, final O output) {
final double moment00 = moment00Func.compute(input).getRealDouble();
final double moment01 = moment01Func.compute(input).getRealDouble();
final double centerY = moment01 / moment00;
double centralmoment02 = 0;
final Cursor<I> it = input.localizingCursor();
while (it.hasNext()) {
it.fwd();
final double y = it.getDoublePosition(1) - centerY;
final double val = it.get().getRealDouble();
centralmoment02 += val * y * y;
}
output.setReal(centralmoment02);
}
