/**
* @param img
* @return the inferred mapping
*/
private static int[] getInferredMapping(final ImgPlus<?> img) {
int[] inferredMapping = new int[DEFAULT_IJ1_MAPPING.size()];
Arrays.fill(inferredMapping, -1);
for (int d = 0; d < img.numDimensions(); d++) {
inferredMapping[d] = DEFAULT_IJ1_MAPPING.get(img.axis(d).type());
}
int offset = 0;
for (AxisType type : DEFAULT_IJ1_MAPPING.keySet()) {
boolean contains = false;
for (int d = 0; d < img.numDimensions(); d++) {
if (img.axis(d).type().equals(type)) {
contains = true;
break;
}
}
if (!contains) {
inferredMapping[img.numDimensions() + offset] = DEFAULT_IJ1_MAPPING.get(type);
offset++;
}
}
return inferredMapping;
}
/**
* Check if ImgPlus contains axis which can not be mapped to IJ ImagePlus. Valid axes in ImagePlus
* are X, Y, Channel, Z, Time.
*
* @param img
* @return true if mapping is valid
*/
public static boolean validateMapping(final ImgPlus<?> img) {
for (int d = 0; d < img.numDimensions(); d++) {
if (DEFAULT_IJ1_MAPPING.get(((DefaultTypedAxis) img.axis(d)).type()) == null) {
return false;
}
}
return true;
}
/**
* @param img
* @return calibration
*/
public static double[] getNewCalibration(final ImgPlus<?> img) {
int[] mapping = getInferredMapping(img);
// also map/swap calibration
double[] newCalib = new double[mapping.length];
for (int i = 0; i < img.numDimensions(); i++) {
newCalib[mapping[i]] = img.averageScale(i);
}
return newCalib;
}
private void setUpAxes(final ImgPlus<T> image) {
final CalibratedAxis[] axes = new CalibratedAxis[image.numDimensions()];
image.axes(axes);
final List<Viewer3DNodeAxis> axesList = new LinkedList<Viewer3DNodeAxis>();
for (final TypedAxis a : axes) {
final long extent = image.dimension(image.dimensionIndex(a.type()));
axesList.add(new Viewer3DNodeAxis(a, (int) extent, image.dimensionIndex(a.type())));
}
m_axes = new Viewer3DNodeAxes(Viewer3DNodeImageToVTK.getMinDims(), axesList);
}
/**
* Extends the given {@link ImgPlus} to 5-dimensions and makes sure, that the dimension order
* suits IJ.
*
* @param img to be extended and permuted
* @return extended and permuted {@link Img}
*/
public static <T> RandomAccessibleInterval<T> extendAndPermute(final ImgPlus<T> img) {
// Create Mapping [at position one -> new index, at position 2 -> new index etc.] given: ImgPlus
// and m_mapping
// we always want to have 5 dimensions
RandomAccessibleInterval<T> extended = img;
for (int d = img.numDimensions(); d < 5; d++) {
extended = Views.addDimension(extended, 0, 0);
}
return DimSwapper.swap(extended, getInferredMapping(img));
}
private UnaryOutputOperation<ImgPlus<T>, ImgPlus<V>> getSlidingOperation(
final ImgPlus<T> img, final V type) {
final Shape neighborhood =
NeighborhoodType.getNeighborhood(
NeighborhoodType.valueOf(m_neighborhoodType.getStringValue()),
m_intervalExtend.getIntValue());
final OutOfBoundsFactory<T, ImgPlus<T>> outStrat =
OutOfBoundsStrategyFactory.<T, ImgPlus<T>>getStrategy(
m_outOfBoundsStrategy.getStringValue(), img.firstElement());
return getSlidingOperation(img, type, neighborhood, outStrat);
}
public static void main(final String[] args) {
// TEST 2D case
// Parameters
final int size_x = 200;
final int size_y = 200;
final long a = 10;
final long b = 5;
final double phi_r = Math.toRadians(30);
final long max_radius = Math.max(a, b);
final double[] calibration = new double[] {1, 1};
// Create blank image
final Img<UnsignedByteType> img =
new ArrayImgFactory<UnsignedByteType>()
.create(new int[] {200, 200}, new UnsignedByteType());
final ImgPlus<UnsignedByteType> imgplus = new ImgPlus<UnsignedByteType>(img);
for (int d = 0; d < imgplus.numDimensions(); d++) {
imgplus.setAxis(new DefaultLinearAxis(imgplus.axis(d).type(), calibration[d]), d);
}
final byte on = (byte) 255;
// Create an ellipse
long start = System.currentTimeMillis();
System.out.println(String.format("Creating an ellipse with a = %d, b = %d", a, b));
System.out.println(String.format("phi = %.1f", Math.toDegrees(phi_r)));
final long[] center = new long[] {size_x / 2, size_y / 2};
final long[] radiuses = new long[] {max_radius, max_radius};
final EllipseNeighborhood<UnsignedByteType> disc =
new EllipseNeighborhood<UnsignedByteType>(img, center, radiuses);
final EllipseCursor<UnsignedByteType> sc = disc.cursor();
double r2, phi, term;
double cosphi, sinphi;
while (sc.hasNext()) {
sc.fwd();
r2 = sc.getDistanceSquared();
phi = sc.getPhi();
cosphi = Math.cos(phi - phi_r);
sinphi = Math.sin(phi - phi_r);
term = r2 * cosphi * cosphi / a / a + r2 * sinphi * sinphi / b / b;
if (term <= 1) sc.get().set(on);
}
final long end = System.currentTimeMillis();
System.out.println("Ellipse creation done in " + (end - start) + " ms.");
System.out.println();
ij.ImageJ.main(args);
ImageJFunctions.show(imgplus);
start = System.currentTimeMillis();
final Spot spot = new Spot(center[0], center[1], 0d, max_radius, -1d);
final SpotMorphologyAnalyzer<UnsignedByteType> bm =
new SpotMorphologyAnalyzer<UnsignedByteType>(imgplus, null);
bm.process(spot);
System.out.println("Blob morphology analyzed in " + (end - start) + " ms.");
double phiv, thetav, lv;
for (int j = 0; j < 2; j++) {
lv = spot.getFeature(featurelist_sa[j]);
phiv = spot.getFeature(featurelist_phi[j]);
thetav = spot.getFeature(featurelist_theta[j]);
System.out.println(
String.format(
"For axis of semi-length %.1f, orientation is phi = %.1f°, theta = %.1f°",
lv, Math.toDegrees(phiv), Math.toDegrees(thetav)));
}
System.out.println(spot.echo());
// TEST 3D case
/*
*
* // Parameters int size_x = 200; int size_y = 200; int size_z = 200;
*
* double a = 5.5f; double b = 4.9f; double c = 5; double theta_r =
* (double) Math.toRadians(0); // I am unable to have it working for
* theta_r != 0 double phi_r = (double) Math.toRadians(45);
*
* double max_radius = Math.max(a, Math.max(b, c)); double[] calibration
* = new double[] {1, 1, 1};
*
* // Create blank image Image<UnsignedByteType> img = new
* ImageFactory<UnsignedByteType>( new UnsignedByteType(), new
* ArrayContainerFactory() ).createImage(new int[] {200, 200, 200});
* final byte on = (byte) 255;
*
* // Create an ellipse long start = System.currentTimeMillis();
* System.out.println(String.format(
* "Creating an ellipse with a = %.1f, b = %.1f, c = %.1f", a, b, c));
* System.out.println(String.format("phi = %.1f and theta = %.1f",
* Math.toDegrees(phi_r), Math.toDegrees(theta_r))); double[] center =
* new double[] { size_x/2, size_y/2, size_z/2 };
* SphereCursor<UnsignedByteType> sc = new
* SphereCursor<UnsignedByteType>(img, center, max_radius, calibration);
* double r2, theta, phi, term; double cosphi, sinphi, costheta,
* sintheta; while (sc.hasNext()) { sc.fwd(); r2 =
* sc.getDistanceSquared(); phi = sc.getPhi(); theta = sc.getTheta();
* cosphi = Math.cos(phi-phi_r); sinphi = Math.sin(phi-phi_r); costheta
* = Math.cos(theta-theta_r); sintheta = Math.sin(theta-theta_r); term =
* r2*cosphi*cosphi*sintheta*sintheta/a/a +
* r2*sinphi*sinphi*sintheta*sintheta/b/b + r2*costheta*costheta/c/c; if
* (term <= 1) sc.getType().set(on); } sc.close(); long end =
* System.currentTimeMillis();
* System.out.println("Ellipse creation done in " + (end-start) +
* " ms."); System.out.println();
*
* ij.ImageJ.main(args); img.getDisplay().setMinMax();
* ImageJFunctions.copyToImagePlus(img).show();
*
* start = System.currentTimeMillis(); BlobMorphology<UnsignedByteType>
* bm = new BlobMorphology<UnsignedByteType>(img, calibration); SpotImp
* spot = new SpotImp(center); spot.putFeature(Feature.RADIUS,
* max_radius); bm.process(spot); end = System.currentTimeMillis();
* System.out.println("Blob morphology analyzed in " + (end-start) +
* " ms."); double phiv, thetav, lv; for (int j = 0; j < 3; j++) { lv =
* spot.getFeature(featurelist_sa[j]); phiv =
* spot.getFeature(featurelist_phi[j]); thetav =
* spot.getFeature(featurelist_theta[j]);
* System.out.println(String.format(
* "For axis of semi-length %.1f, orientation is phi = %.1f°, theta = %.1f°"
* , lv, Math.toDegrees(phiv), Math.toDegrees(thetav))); }
* System.out.println(spot.echo());
*/
}
/**
* Create a new imgage with using the current settings.
*
* @return the new image
*/
@SuppressWarnings("unchecked")
public final <T extends NativeType<T> & RealType<T>> ImgPlus<T> nextImage() {
// Set up new utils
m_dimList = new ArrayList<Long>();
m_axisList = new ArrayList<AxisType>();
ImgFactoryTypes facType;
// select a factory
if (m_factory == null) {
m_factory = ImgFactoryTypes.values()[randomBoundedInt(ImgFactoryTypes.values().length - 2)];
}
if (m_randomFactory) {
facType = ImgFactoryTypes.values()[randomBoundedInt(ImgFactoryTypes.values().length - 2)];
} else {
facType = m_factory;
}
final ImgFactory<T> imgFac = ImgFactoryTypes.getImgFactory(facType);
// process all dimensions
processDimension(m_minSizeX, m_sizeX, "X");
processDimension(m_minSizeY, m_sizeY, "Y");
processDimension(m_minSizeZ, m_sizeZ, "Z");
processDimension(m_minSizeChannel, m_sizeChannel, "Channel");
processDimension(m_minSizeT, m_sizeT, "Time");
final long[] dims = new long[m_dimList.size()];
for (int d = 0; d < m_dimList.size(); d++) {
dims[d] = m_dimList.get(d);
}
// Type of img is selected
NativeTypes type;
if (m_type == null) {
m_type = NativeTypes.values()[randomBoundedInt(NativeTypes.values().length - 1)];
}
if (m_randomType) {
type = NativeTypes.values()[randomBoundedInt(NativeTypes.values().length - 1)];
} else {
type = m_type;
}
// create the actual image
final T val = (T) NativeTypes.getTypeInstance(type);
final Img<T> img = imgFac.create(dims, val);
// fill the image
final Cursor<T> cursor = img.cursor();
while (cursor.hasNext()) {
cursor.fwd();
double result;
if (m_randomFill) {
double sign = 1;
if (val.getMinValue() < 0) {
if (Math.random() > 0.5) { // ~50% negative
sign = -1;
}
}
if (type.equals(NativeTypes.DOUBLETYPE) || type.equals(NativeTypes.FLOATTYPE)) {
// random value between -1 and 1
result = Math.random() * sign;
} else {
// random value in type range
result = Math.random() * val.getMaxValue() * sign;
}
} else {
result = m_value;
}
cursor.get().setReal(result);
}
final ImgPlus<T> imgPlus = new ImgPlus<T>(ImgView.wrap(img, imgFac));
int d = 0;
for (final AxisType a : m_axisList) {
imgPlus.setAxis(new DefaultLinearAxis(a), d++);
}
return imgPlus;
}
@Override
protected UnaryOutputOperation<ImgPlus<T>, ImgPlus<V>> op(final ImgPlus<T> vin) {
final V outType = getOutType(vin.firstElement().createVariable());
return getSlidingOperation(vin, outType);
}
/**
* @param img
* @param processorFactory
* @param converter
* @return wrapped {@link ImagePlus}
*/
@SuppressWarnings({"unchecked", "rawtypes"})
public static final <T extends RealType<T>> ImagePlus wrap(
final ImgPlus<T> img,
final ImageProcessorFactory processorFactory,
final Converter<T, FloatType> converter) {
// we always want to have 5 dimensions
final RandomAccessibleInterval permuted = extendAndPermute(img);
final int width = (int) permuted.dimension(0);
final int height = (int) permuted.dimension(1);
final ImagePlus r = new ImagePlus();
final ImageStack is = new ImageStack(width, height);
final RandomAccessibleInterval<T> access =
img.iterationOrder().equals(((IterableRealInterval<?>) permuted).iterationOrder())
? img
: permuted;
final IntervalIterator ii = createIntervalIterator(access);
final long[] min = new long[access.numDimensions()];
final long[] max = new long[access.numDimensions()];
max[0] = permuted.max(0);
max[1] = permuted.max(1);
// number of planes = num tasks
int numSlices = 1;
for (int d = 2; d < access.numDimensions(); d++) {
numSlices *= access.dimension(d);
}
// parallelization
final ImageProcessor[] slices = new ImageProcessor[numSlices];
final ExecutorService service =
new ThreadPoolExecutorService(
KNIMEConstants.GLOBAL_THREAD_POOL.createSubPool(KNIPConstants.THREADS_PER_NODE));
final ArrayList<Future<Void>> futures = new ArrayList<Future<Void>>();
final T inType = img.firstElement();
int i = 0;
while (ii.hasNext()) {
ii.fwd();
for (int d = 2; d < ii.numDimensions(); d++) {
min[d] = ii.getIntPosition(d);
max[d] = min[d];
}
final int proxy = i++;
futures.add(
service.submit(
new Callable<Void>() {
final FinalInterval tmp = new FinalInterval(min, max);
@Override
public Void call() throws Exception {
final Cursor<T> cursor = Views.iterable(Views.interval(access, tmp)).cursor();
final ImageProcessor ip = processorFactory.createProcessor(width, height, inType);
final FloatType outProxy = new FloatType();
for (int y = 0; y < height; y++) {
for (int x = 0; x < width; x++) {
converter.convert(cursor.next(), outProxy);
ip.setf(x, y, outProxy.get());
}
}
slices[proxy] = ip;
return null;
}
}));
}
for (final Future<Void> f : futures) {
try {
f.get();
} catch (final InterruptedException e) {
e.printStackTrace();
} catch (final ExecutionException e) {
e.printStackTrace();
}
}
// add slices to stack
for (ImageProcessor slice : slices) {
is.addSlice("", slice);
}
// set calibration
final double[] newCalibration = getNewCalibration(img);
Calibration cal = new Calibration();
cal.pixelWidth = newCalibration[0];
cal.pixelHeight = newCalibration[1];
cal.pixelDepth = newCalibration[3];
r.setCalibration(cal);
r.setStack(
is, (int) permuted.dimension(2), (int) permuted.dimension(3), (int) permuted.dimension(4));
r.setTitle(img.getName());
return r;
}
/**
* Wraps an {@link Img} using default IJ1Converter.
*
* @param img to be wrapped
* @return wrapped {@link ImagePlus}
*/
public static final <T extends RealType<T>> ImagePlus wrap(final ImgPlus<T> img) {
return wrap(
img, new DefaultProcessorFactory(), new DefaultImgToIJ1Converter<T>(img.firstElement()));
}
