package uk.ac.diamond.scisoft.analysis.processing.operations.mask; import java.util.ArrayList; import java.util.Arrays; import java.util.List; import org.eclipse.dawnsci.analysis.api.processing.Atomic; import org.eclipse.dawnsci.analysis.api.processing.OperationData; import org.eclipse.dawnsci.analysis.api.processing.OperationException; import org.eclipse.dawnsci.analysis.api.processing.OperationRank; import org.eclipse.dawnsci.analysis.api.roi.IROI; import org.eclipse.dawnsci.analysis.dataset.operations.AbstractOperation; import org.eclipse.january.IMonitor; import org.eclipse.january.MetadataException; import org.eclipse.january.dataset.Comparisons; import org.eclipse.january.dataset.Dataset; import org.eclipse.january.dataset.DatasetFactory; import org.eclipse.january.dataset.DatasetUtils; import org.eclipse.january.dataset.IDataset; import org.eclipse.january.metadata.MaskMetadata; import org.eclipse.january.metadata.MetadataFactory; @Atomic public class MaskOutsideRegionOperation extends AbstractOperation<MaskOutsideRegionModel, OperationData> { @Override protected OperationData process(IDataset input, IMonitor monitor) throws OperationException { IDataset mask = DatasetUtils.convertToDataset(getFirstMask(input)); if (mask != null && !Arrays.equals(input.getShape(), mask.getShape())) { throw new OperationException(this, "Mask is incorrect shape!"); } IDataset m = generateMaskFromROI(model.getRegion(), input.getShape()); if (mask != null) m = Comparisons.logicalAnd(mask, m); MaskMetadata mm; try { mm = MetadataFactory.createMetadata(MaskMetadata.class, m); } catch (MetadataException e) { throw new OperationException(this, e); } input = input.getSliceView(); input.setMetadata(mm); return new OperationData(input); } @Override public String getId() { return "uk.ac.diamond.scisoft.analysis.processing.operations.mask.MaskOutsideRegionOperation"; } @Override public OperationRank getInputRank() { return OperationRank.TWO; } @Override public OperationRank getOutputRank() { return OperationRank.TWO; } private IDataset generateMaskFromROI(IROI roi, int[] shape) { Dataset mask = DatasetFactory.zeros(shape, Dataset.BOOL); for (int i = 0; i < shape[0]; i++) { double[] hi = roi.findHorizontalIntersections(i); if (hi != null) { boolean cutsStart = roi.containsPoint(0, i); boolean cutsEnd = roi.containsPoint(shape[1]-1, i); List<Integer> inters = new ArrayList<Integer>(); if (cutsStart) inters.add(0); for (double d : hi) { if (!inters.contains((int)d) && d > 0 && d < shape[1]-1) inters.add((int)d); } if (cutsEnd && !inters.contains(shape[1]-1)) inters.add(shape[1]-1); int[] start = new int[]{i,0}; int[] stop = new int[]{i+1,0}; int[] step = new int[]{1,1}; while (!inters.isEmpty()) { if (inters.size() == 1) { start[1] = inters.get(0); stop[1] = start[1]+1; mask.setSlice(true, start, stop, step); inters.remove(0); } else { int s = inters.get(0); int e = inters.get(1); if (roi.containsPoint(s+(e-s)/2, i)) { start[1] = s; stop[1] = e; mask.setSlice(true, start, stop, step); inters.remove(0); } else { start[1] = inters.get(0); stop[1] = start[1]+1; mask.setSlice(true, start, stop, step); inters.remove(0); } } } } } return mask; } }