@Override
protected Collection<? extends ITrace> createProfile(
final IImageTrace image,
IRegion region,
IROI rbs,
boolean tryUpdate,
boolean isDrag,
IProgressMonitor monitor) {
if (monitor.isCanceled()) return null;
if (image == null) return null;
if ((region.getRegionType() != RegionType.BOX)
&& (region.getRegionType() != RegionType.PERIMETERBOX)) return null;
Dataset slice = createZoom(image, region, rbs, tryUpdate, isDrag, monitor);
Dataset yData = slice.sum(0);
yData.setName("Intensity");
Dataset xData = slice.sum(1);
xData.setName("Intensity");
final RectangularROI bounds = (RectangularROI) (rbs == null ? region.getROI() : rbs);
final Dataset y_indices =
DatasetFactory.createRange(
bounds.getPoint()[0], bounds.getPoint()[0] + bounds.getLength(0), 1, Dataset.FLOAT);
y_indices.setName("X Location");
topSystem.updatePlot1D(y_indices, Arrays.asList(new IDataset[] {yData}), monitor);
topSystem.repaint();
final Dataset x_indices =
DatasetFactory.createRange(
bounds.getPoint()[1] + bounds.getLength(1), bounds.getPoint()[1], -1, Dataset.FLOAT);
x_indices.setName("Y Location");
final Collection<ITrace> right =
rightSystem.updatePlot1D(xData, Arrays.asList(new IDataset[] {x_indices}), monitor);
rightSystem.repaint();
Display.getDefault()
.syncExec(
new Runnable() {
@Override
public void run() {
topSystem.setTitle("");
rightSystem.setTitle("");
ILineTrace line = (ILineTrace) right.iterator().next();
line.setTraceColor(ColorConstants.red);
}
});
return profilePlottingSystem.getTraces();
}
protected OperationData process(IDataset input, IMonitor monitor) throws OperationException {
double d = (2 * Math.PI) / model.getqValue();
double p = (2 * Math.PI) / (model.getqValue() + model.getqDelta());
double m = (2 * Math.PI) / (model.getqValue() - model.getqDelta());
IDiffractionMetadata dm = getFirstDiffractionMetadata(input);
if (dm == null) throw new OperationException(this, "No calibration information!");
IParametricROI[] inOut = new IParametricROI[2];
IParametricROI conic =
(IParametricROI)
DSpacing.conicFromDSpacing(
dm.getDetector2DProperties(), dm.getDiffractionCrystalEnvironment(), d);
inOut[0] =
(IParametricROI)
DSpacing.conicFromDSpacing(
dm.getDetector2DProperties(), dm.getDiffractionCrystalEnvironment(), m);
inOut[1] =
(IParametricROI)
DSpacing.conicFromDSpacing(
dm.getDetector2DProperties(), dm.getDiffractionCrystalEnvironment(), p);
PolylineROI points =
PeakFittingEllipseFinder.findPointsOnConic(
DatasetUtils.convertToDataset(input), null, conic, inOut, 256, null);
double rms = -1;
double[] semi = new double[2];
double[] point = new double[2];
double ang = 0;
if (points != null && points.getNumberOfPoints() < 3) {
EllipticalFitROI efroi = PowderRingsUtils.fitAndTrimOutliers(null, points, 2, false);
rms = efroi.getRMS();
semi = efroi.getSemiAxes();
point = efroi.getPoint();
ang = efroi.getAngleDegrees();
}
Dataset r = DatasetFactory.createFromObject(new double[] {rms});
r.setName("rms");
Dataset ax = DatasetFactory.createFromObject(semi);
ax.setName("semi-axes");
Dataset po = DatasetFactory.createFromObject(point);
po.setName("centre");
Dataset a = DatasetFactory.createFromObject(new double[] {ang});
a.setName("angle");
return new OperationData(input, new Serializable[] {r, ax, po, a});
}
@Override
protected OperationData process(IDataset input, IMonitor monitor) {
RectangularROI box = model.getBox();
Dataset in1 =
BoxSlicerRodScanUtils.rOIBox(input, monitor, box.getIntLengths(), box.getIntPoint());
if (g2 == null) g2 = new Polynomial2D(model.getFitPower());
if ((int) Math.pow(model.getFitPower() + 1, 2) != g2.getNoOfParameters())
g2 = new Polynomial2D(model.getFitPower());
Dataset[] fittingBackground =
BoxSlicerRodScanUtils.LeftRightTopBottomBoxes(
input, monitor, box.getIntLengths(), box.getIntPoint(), model.getBoundaryBox());
Dataset offset = DatasetFactory.ones(fittingBackground[2].getShape(), Dataset.FLOAT64);
Dataset intermediateFitTest = Maths.add(offset, fittingBackground[2]);
Dataset matrix =
LinearLeastSquaresServicesForSXRD.polynomial2DLinearLeastSquaresMatrixGenerator(
model.getFitPower(), fittingBackground[0], fittingBackground[1]);
DoubleDataset test = (DoubleDataset) LinearAlgebra.solveSVD(matrix, intermediateFitTest);
double[] params = test.getData();
DoubleDataset in1Background =
g2.getOutputValues0(
params, box.getIntLengths(), model.getBoundaryBox(), model.getFitPower());
IndexIterator it = in1Background.getIterator();
while (it.hasNext()) {
double v = in1Background.getElementDoubleAbs(it.index);
if (v < 0) in1Background.setObjectAbs(it.index, 0);
}
Dataset pBackgroundSubtracted = Maths.subtract(in1, in1Background, null);
pBackgroundSubtracted.setName("pBackgroundSubtracted");
IndexIterator it1 = pBackgroundSubtracted.getIterator();
while (it1.hasNext()) {
double q = pBackgroundSubtracted.getElementDoubleAbs(it1.index);
if (q < 0) pBackgroundSubtracted.setObjectAbs(it1.index, 0);
}
Dataset output = DatasetUtils.cast(pBackgroundSubtracted, Dataset.FLOAT64);
output.setName("Region of Interest, polynomial background removed");
return new OperationData(output);
}
@Override
public DataReductionInfo export(DataReductionSlice drslice) throws Exception {
final Collection<IRegion> regions = getPlottingSystem().getRegions();
for (IRegion region : regions) {
if (!isRegionTypeSupported(region.getRegionType())) continue;
final RectangularROI bounds = (RectangularROI) region.getROI();
if (bounds == null) continue;
if (!region.isVisible()) continue;
final int yInc = bounds.getPoint()[1] < bounds.getEndPoint()[1] ? 1 : -1;
final int xInc = bounds.getPoint()[0] < bounds.getEndPoint()[0] ? 1 : -1;
final Dataset slice =
DatasetUtils.convertToDataset(
drslice
.getData()
.getSlice(
new int[] {(int) bounds.getPoint()[1], (int) bounds.getPoint()[0]},
new int[] {(int) bounds.getEndPoint()[1], (int) bounds.getEndPoint()[0]},
new int[] {yInc, xInc}));
slice.setName(region.getName().replace(' ', '_'));
drslice.appendData(slice);
}
return new DataReductionInfo(Status.OK_STATUS);
}
protected Dataset createZoom(
final IImageTrace image,
IRegion region,
IROI rbs,
boolean tryUpdate,
boolean isDrag,
IProgressMonitor monitor) {
if (!(region.getROI() instanceof RectangularROI)) return null;
final RectangularROI bounds = (RectangularROI) (rbs == null ? region.getROI() : rbs);
if (bounds == null) return null;
if (!region.isVisible()) return null;
if (monitor.isCanceled()) return null;
final int yInc = bounds.getPoint()[1] < bounds.getEndPoint()[1] ? 1 : -1;
final int xInc = bounds.getPoint()[0] < bounds.getEndPoint()[0] ? 1 : -1;
Dataset im = DatasetUtils.convertToDataset(image.getData());
Dataset slice = DatasetUtils.convertToDataset(ToolUtils.getClippedSlice(im, bounds));
slice.setName(region.getName());
// Calculate axes to have real values not size
Dataset yLabels = null;
Dataset xLabels = null;
if (image.getAxes() != null && image.getAxes().size() > 0) {
Dataset xl = DatasetUtils.convertToDataset(image.getAxes().get(0));
if (xl != null) xLabels = ZoomTool.getLabelsFromLabels(xl, bounds, 0);
Dataset yl = DatasetUtils.convertToDataset(image.getAxes().get(1));
if (yl != null) yLabels = ZoomTool.getLabelsFromLabels(yl, bounds, 1);
}
if (yLabels == null)
yLabels =
DatasetFactory.createRange(
IntegerDataset.class, bounds.getPoint()[1], bounds.getEndPoint()[1], yInc);
if (xLabels == null)
xLabels =
DatasetFactory.createRange(
IntegerDataset.class, bounds.getPoint()[0], bounds.getEndPoint()[0], xInc);
final IImageTrace zoom_trace =
(IImageTrace)
profilePlottingSystem.updatePlot2D(
slice, Arrays.asList(new IDataset[] {xLabels, yLabels}), monitor);
registerTraces(region, Arrays.asList(new ITrace[] {zoom_trace}));
Display.getDefault()
.syncExec(
new Runnable() {
public void run() {
zoom_trace.setPaletteData(image.getPaletteData());
}
});
return slice;
}
/**
* Perform a two-dimensional interpolation
*
* @param oldx an IDataset containing a 1D array of X-values, sorted in increasing order,
* corresponding to the first dimension of <code>oldxy</code>
* @param oldy an IDataset containing a 1D array of Y-values, sorted in increasing order,
* corresponding to the second dimension of <code>oldxy</code>
* @param oldxy an IDataset containing a 2D grid of interpolation points
* @param newx an IDataset containing a 1D array of X-values that will be sent to the
* interpolating function
* @param newy an IDataset containing a 1D array of Y-values that will be sent to the
* interpolating function
* @param interpolator an instance of {@link
* org.apache.commons.math3.analysis.interpolation.BivariateGridInterpolator}
* @param output_type an {@link BicubicInterpolationOutput} that will determine how <code>newx
* </code> and <code>newy</code> will be interpreted, and therefore whether a 1D or 2D Dataset
* will be returned.
* @return rank 1 or 2 Dataset, depending on <code>output_type}</code>
* @throws NonMonotonicSequenceException
* @throws NumberIsTooSmallException
*/
public static Dataset interpolate(
IDataset oldx,
IDataset oldy,
IDataset oldxy,
IDataset newx,
IDataset newy,
BivariateGridInterpolator interpolator,
BicubicInterpolationOutput output_type)
throws NonMonotonicSequenceException, NumberIsTooSmallException {
// check shapes
if (oldx.getRank() != 1) throw new IllegalArgumentException("oldx Shape must be 1D");
if (oldy.getRank() != 1) throw new IllegalArgumentException("oldy Shape must be 1D");
if (oldxy.getRank() != 2) throw new IllegalArgumentException("oldxy Shape must be 2D");
if (oldx.getShape()[0] != oldxy.getShape()[0])
throw new IllegalArgumentException("oldx Shape must match oldxy Shape[0]");
if (oldy.getShape()[0] != oldxy.getShape()[1])
throw new IllegalArgumentException("oldy Shape must match oldxy Shape[1]");
if (newx.getRank() != 1) throw new IllegalArgumentException("newx Shape must be 1D");
if (newy.getRank() != 1) throw new IllegalArgumentException("newx Shape must be 1D");
if (output_type == BicubicInterpolationOutput.ONED && newy.getSize() != newx.getSize())
throw new IllegalArgumentException(
"newx and newy Size must be identical when expecting a rank 1 dataset result");
DoubleDataset oldx_dd = (DoubleDataset) DatasetUtils.cast(oldx, Dataset.FLOAT64);
DoubleDataset oldy_dd = (DoubleDataset) DatasetUtils.cast(oldy, Dataset.FLOAT64);
DoubleDataset oldxy_dd = (DoubleDataset) DatasetUtils.cast(oldxy, Dataset.FLOAT64);
// unlike in Interpolation1D, we will not be sorting here, as it just too complicated
// the user will be responsible for ensuring the arrays are properly sorted
// oldxy_dd needs to be transformed into a double[][] array
// this call may throw an exception that needs handling by the calling method
BivariateFunction func =
interpolator.interpolate(
oldx_dd.getData(), oldy_dd.getData(), convertDoubleDataset2DtoPrimitive(oldxy_dd));
Dataset rv = null;
if (output_type == BicubicInterpolationOutput.ONED) {
rv = DatasetFactory.zeros(new int[] {newx.getSize()}, Dataset.FLOAT64);
for (int i = 0; i < newx.getSize(); i++) {
double val = 0.0;
try {
val = func.value(newx.getDouble(i), newy.getDouble(i));
rv.set(val, i);
} catch (OutOfRangeException e) {
rv.set(0.0, i);
}
}
} else if (output_type == BicubicInterpolationOutput.TWOD) {
rv = DatasetFactory.zeros(new int[] {newx.getSize(), newy.getSize()}, Dataset.FLOAT64);
for (int i = 0; i < newx.getSize(); i++) {
for (int j = 0; j < newy.getSize(); j++) {
double val = 0.0;
try {
val = func.value(newx.getDouble(i), newy.getDouble(j));
rv.set(val, i, j);
} catch (OutOfRangeException e) {
rv.set(0.0, i, j);
}
}
}
}
rv.setName(oldxy.getName() + "_interpolated");
return rv;
}