use of gdsc.smlm.filters.Spot in project GDSC-SMLM by aherbert.
the class SpotFinderPreview method run.
/*
* (non-Javadoc)
*
* @see ij.plugin.filter.PlugInFilter#run(ij.process.ImageProcessor)
*/
public void run(ImageProcessor ip) {
Rectangle bounds = ip.getRoi();
MaximaSpotFilter filter = config.createSpotFilter(true);
// Crop to the ROI
FloatProcessor fp = ip.crop().toFloat(0, null);
float[] data = (float[]) fp.getPixels();
int width = fp.getWidth();
int height = fp.getHeight();
Spot[] spots = filter.rank(data, width, height);
data = filter.getPreprocessedData();
fp = new FloatProcessor(width, height, data);
ip = ip.duplicate();
ip.insert(fp, bounds.x, bounds.y);
//ip.resetMinAndMax();
ip.setMinAndMax(fp.getMin(), fp.getMax());
Overlay o = new Overlay();
o.add(new ImageRoi(0, 0, ip));
if (label != null) {
// Get results for frame
Coordinate[] actual = ResultsMatchCalculator.getCoordinates(actualCoordinates, imp.getCurrentSlice());
Coordinate[] predicted = new Coordinate[spots.length];
for (int i = 0; i < spots.length; i++) {
predicted[i] = new BasePoint(spots[i].x + bounds.x, spots[i].y + bounds.y);
}
// Q. Should this use partial scoring with multi-matches allowed.
// If so then this needs to be refactored out of the BenchmarkSpotFilter class.
// TODO - compute AUC and max jaccard and plot
// Compute matches
List<PointPair> matches = new ArrayList<PointPair>(Math.min(actual.length, predicted.length));
List<Coordinate> FP = new ArrayList<Coordinate>(predicted.length);
MatchResult result = MatchCalculator.analyseResults2D(actual, predicted, distance * fitConfig.getInitialPeakStdDev0(), null, FP, null, matches);
// Show scores
setLabel(String.format("P=%s, R=%s, J=%s", Utils.rounded(result.getPrecision()), Utils.rounded(result.getRecall()), Utils.rounded(result.getJaccard())));
// Create Rois for TP and FP
if (showTP) {
float[] x = new float[matches.size()];
float[] y = new float[x.length];
int n = 0;
for (PointPair pair : matches) {
BasePoint p = (BasePoint) pair.getPoint2();
x[n] = p.getX() + 0.5f;
y[n] = p.getY() + 0.5f;
n++;
}
addRoi(0, o, x, y, n, Color.green);
}
if (showFP) {
float[] x = new float[predicted.length - matches.size()];
float[] y = new float[x.length];
int n = 0;
for (Coordinate c : FP) {
BasePoint p = (BasePoint) c;
x[n] = p.getX() + 0.5f;
y[n] = p.getY() + 0.5f;
n++;
}
addRoi(0, o, x, y, n, Color.red);
}
} else {
float[] x = new float[spots.length];
float[] y = new float[x.length];
for (int i = 0; i < spots.length; i++) {
x[i] = spots[i].x + bounds.x + 0.5f;
y[i] = spots[i].y + bounds.y + 0.5f;
}
PointRoi roi = new PointRoi(x, y);
// Add options to configure colour and labels
o.add(roi);
}
imp.setOverlay(o);
}
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