use of net.imglib2.type.numeric.integer.IntType in project imagej-ops by imagej.
the class WatershedBinary method compute.
@Override
public void compute(final RandomAccessibleInterval<T> in, final ImgLabeling<Integer, IntType> out) {
// compute distance transform
final RandomAccessibleInterval<FloatType> distMap = ops().image().distancetransform(in);
final RandomAccessibleInterval<FloatType> invertedDT = ops().create().img(in, new FloatType());
ops().image().invert(Views.iterable(invertedDT), Views.iterable(distMap));
final RandomAccessibleInterval<FloatType> gauss = ops().filter().gauss(invertedDT, sigma);
// run the default watershed
ops().run(Watershed.class, out, gauss, useEightConnectivity, drawWatersheds, mask);
}
use of net.imglib2.type.numeric.integer.IntType in project imagej-ops by imagej.
the class WatershedSeeded method compute.
@SuppressWarnings("unchecked")
@Override
public void compute(final RandomAccessibleInterval<T> in, final ImgLabeling<Integer, IntType> out) {
// extend border to be able to do a quick check, if a voxel is inside
final LabelingType<Integer> oustide = out.firstElement().copy();
oustide.clear();
oustide.add(OUTSIDE);
final ExtendedRandomAccessibleInterval<LabelingType<Integer>, ImgLabeling<Integer, IntType>> outExt = Views.extendValue(out, oustide);
final OutOfBounds<LabelingType<Integer>> raOut = outExt.randomAccess();
// if no mask provided, set the mask to the whole image
if (mask == null) {
mask = (RandomAccessibleInterval<B>) ops().create().img(in, new BitType());
for (B b : Views.flatIterable(mask)) {
b.set(true);
}
}
// initialize output labels
final Cursor<B> maskCursor = Views.flatIterable(mask).cursor();
while (maskCursor.hasNext()) {
maskCursor.fwd();
if (maskCursor.get().get()) {
raOut.setPosition(maskCursor);
raOut.get().clear();
raOut.get().add(INIT);
}
}
// RandomAccess for Mask, Seeds and Neighborhoods
final RandomAccess<B> raMask = mask.randomAccess();
final RandomAccess<LabelingType<Integer>> raSeeds = seeds.randomAccess();
final Shape shape;
if (useEightConnectivity) {
shape = new RectangleShape(1, true);
} else {
shape = new DiamondShape(1);
}
final RandomAccessible<Neighborhood<T>> neighborhoods = shape.neighborhoodsRandomAccessible(in);
final RandomAccess<Neighborhood<T>> raNeigh = neighborhoods.randomAccess();
/*
* Carry over the seeding points to the new label and adds them to a
* voxel priority queue
*/
final PriorityQueue<WatershedVoxel> pq = new PriorityQueue<>();
// Only iterate seeds that are not excluded by the mask
final IterableRegion<B> maskRegions = Regions.iterable(mask);
final IterableInterval<LabelingType<Integer>> seedsMasked = Regions.sample(maskRegions, seeds);
final Cursor<LabelingType<Integer>> cursorSeeds = seedsMasked.localizingCursor();
while (cursorSeeds.hasNext()) {
final Set<Integer> l = cursorSeeds.next();
if (l.isEmpty()) {
continue;
}
if (l.size() > 1) {
throw new IllegalArgumentException("Seeds must have exactly one label!");
}
final Integer label = l.iterator().next();
if (label < 0) {
throw new IllegalArgumentException("Seeds must have positive integers as labels!");
}
raNeigh.setPosition(cursorSeeds);
final Cursor<T> neighborhood = raNeigh.get().cursor();
// Add unlabeled neighbors to priority queue
while (neighborhood.hasNext()) {
neighborhood.fwd();
raSeeds.setPosition(neighborhood);
raMask.setPosition(neighborhood);
raOut.setPosition(neighborhood);
final Integer labelNeigh = raOut.get().iterator().next();
if (labelNeigh != INQUEUE && labelNeigh != OUTSIDE && !raOut.isOutOfBounds() && raMask.get().get() && raSeeds.get().isEmpty()) {
raOut.setPosition(neighborhood);
pq.add(new WatershedVoxel(IntervalIndexer.positionToIndex(neighborhood, in), neighborhood.get().getRealDouble()));
raOut.get().clear();
raOut.get().add(INQUEUE);
}
}
// Overwrite label in output with the seed label
raOut.setPosition(cursorSeeds);
raOut.get().clear();
raOut.get().add(label);
}
/*
* Pop the head of the priority queue, label and push all unlabeled
* neighbored pixels.
*/
// list to store neighbor labels
final ArrayList<Integer> neighborLabels = new ArrayList<>();
// list to store neighbor voxels
final ArrayList<WatershedVoxel> neighborVoxels = new ArrayList<>();
// iterate the queue
final Point pos = new Point(in.numDimensions());
while (!pq.isEmpty()) {
IntervalIndexer.indexToPosition(pq.poll().getPos(), out, pos);
// reset list of neighbor labels
neighborLabels.clear();
// reset list of neighbor voxels
neighborVoxels.clear();
// iterate the neighborhood of the pixel
raNeigh.setPosition(pos);
final Cursor<T> neighborhood = raNeigh.get().cursor();
while (neighborhood.hasNext()) {
neighborhood.fwd();
// Unlabeled neighbors go into the queue if they are not there
// yet
raOut.setPosition(neighborhood);
raMask.setPosition(raOut);
if (!raOut.get().isEmpty()) {
final Integer label = raOut.get().iterator().next();
if (label == INIT && raMask.get().get()) {
neighborVoxels.add(new WatershedVoxel(IntervalIndexer.positionToIndex(neighborhood, out), neighborhood.get().getRealDouble()));
} else {
if (label > WSHED && (!drawWatersheds || !neighborLabels.contains(label))) {
// store labels of neighbors in a list
neighborLabels.add(label);
}
}
}
}
if (drawWatersheds) {
// if the neighbors of the extracted voxel that have already
// been labeled
// all have the same label, then the voxel is labeled with their
// label.
raOut.setPosition(pos);
raOut.get().clear();
if (neighborLabels.size() == 1) {
raOut.get().add(neighborLabels.get(0));
// list
for (final WatershedVoxel v : neighborVoxels) {
IntervalIndexer.indexToPosition(v.getPos(), out, raOut);
raOut.get().clear();
raOut.get().add(INQUEUE);
pq.add(v);
}
} else if (neighborLabels.size() > 1)
raOut.get().add(WSHED);
} else {
if (neighborLabels.size() > 0) {
raOut.setPosition(pos);
raOut.get().clear();
// take the label which most of the neighbors have
if (neighborLabels.size() > 2) {
final Map<Integer, Long> countLabels = neighborLabels.stream().collect(Collectors.groupingBy(e -> e, Collectors.counting()));
final Integer keyMax = Collections.max(countLabels.entrySet(), Comparator.comparingLong(Map.Entry::getValue)).getKey();
raOut.get().add(keyMax);
} else {
raOut.get().add(neighborLabels.get(0));
}
// list
for (final WatershedVoxel v : neighborVoxels) {
IntervalIndexer.indexToPosition(v.getPos(), out, raOut);
raOut.get().clear();
raOut.get().add(INQUEUE);
pq.add(v);
}
}
}
}
/*
* Merge already present labels before calculation of watershed
*/
if (out() != null) {
final Cursor<LabelingType<Integer>> cursor = out().cursor();
while (cursor.hasNext()) {
cursor.fwd();
raOut.setPosition(cursor);
final List<Integer> labels = new ArrayList<>();
cursor.get().iterator().forEachRemaining(labels::add);
raOut.get().addAll(labels);
}
}
}
use of net.imglib2.type.numeric.integer.IntType in project imagej-ops by imagej.
the class CreateImgTest method testImageType.
@Test
public void testImageType() {
final Dimensions dim = new FinalDimensions(10, 10, 10);
assertEquals("Image Type: ", BitType.class, ((Img<?>) ops.run(CreateImgFromDimsAndType.class, dim, new BitType())).firstElement().getClass());
assertEquals("Image Type: ", ByteType.class, ((Img<?>) ops.run(CreateImgFromDimsAndType.class, dim, new ByteType())).firstElement().getClass());
assertEquals("Image Type: ", UnsignedByteType.class, ((Img<?>) ops.create().img(dim, new UnsignedByteType())).firstElement().getClass());
assertEquals("Image Type: ", IntType.class, ((Img<?>) ops.run(CreateImgFromDimsAndType.class, dim, new IntType())).firstElement().getClass());
assertEquals("Image Type: ", FloatType.class, ((Img<?>) ops.run(CreateImgFromDimsAndType.class, dim, new FloatType())).firstElement().getClass());
assertEquals("Image Type: ", DoubleType.class, ((Img<?>) ops.run(CreateImgFromDimsAndType.class, dim, new DoubleType())).firstElement().getClass());
}
use of net.imglib2.type.numeric.integer.IntType in project imagej-ops by imagej.
the class CreateLabelingTest method testImageFactory.
@SuppressWarnings("unchecked")
@Test
public void testImageFactory() {
final Dimensions dim = new FinalDimensions(10, 10, 10);
assertEquals("Labeling Factory: ", ArrayImgFactory.class, ((Img<?>) ((ImgLabeling<String, ?>) ops.run(DefaultCreateImgLabeling.class, dim, null, new ArrayImgFactory<IntType>())).getIndexImg()).factory().getClass());
assertEquals("Labeling Factory: ", CellImgFactory.class, ((Img<?>) ((ImgLabeling<String, ?>) ops.run(DefaultCreateImgLabeling.class, dim, null, new CellImgFactory<IntType>())).getIndexImg()).factory().getClass());
}
use of net.imglib2.type.numeric.integer.IntType in project imagej-ops by imagej.
the class CopyImgLabelingTest method createData.
@SuppressWarnings("unchecked")
@Before
public void createData() {
input = (ImgLabeling<String, IntType>) ops.run(DefaultCreateImgLabeling.class, new long[] { 10, 10 }, new IntType());
final Cursor<LabelingType<String>> inc = input.cursor();
while (inc.hasNext()) {
inc.next().add(Math.random() > 0.5 ? "A" : "B");
}
// and another loop to construct some ABs
while (inc.hasNext()) {
inc.next().add(Math.random() > 0.5 ? "A" : "B");
}
}
Aggregations