Java Analyzer.saveResults方法代码示例

import ij.plugin.filter.Analyzer; //导入方法依赖的package包/类
/**
 * Turn an array of ImageJ ROIs into a list of QuPath PathObjects, optionally adding measurements as well.
 * 
 * @param imp
 * @param rois
 * @param server
 * @param downsample
 * @param asDetection
 * @param includeMeasurements
 * @return
 */
public static List<PathObject> createPathObjectsFromROIs(final ImagePlus imp, final Roi[] rois, final ImageServer<?> server, final double downsample, final boolean asDetection, final boolean includeMeasurements, final int c, final int z, final int t) {
	List<PathObject> pathObjects = new ArrayList<>();
	ResultsTable rt = new ResultsTable();
	Analyzer analyzer = new Analyzer(imp, Analyzer.getMeasurements(), rt);
	String[] headings = null;
	for (Roi roi : rois) {
		PathObject pathObject = IJTools.convertToPathObject(imp, server, roi, downsample, asDetection, c, z, t);
		if (pathObject == null)
			IJ.log("Sorry, I could not convert " + roi + " to a value QuPath object");
		else {
			// Make measurements
			if (includeMeasurements) {
				ImageProcessor ip = imp.getProcessor();
				ip.setRoi(roi);
				ImageStatistics stats = ImageStatistics.getStatistics(ip, Analyzer.getMeasurements(), imp.getCalibration());
				analyzer.saveResults(stats, roi);
				// Get measurements from table and append
				if (headings == null)
					headings = rt.getHeadings();
				int row = rt.getCounter()-1;
				MeasurementList ml = pathObject.getMeasurementList();
				for (String h : headings) {
					if ("Label".equals(h))
						continue;
					ml.putMeasurement(h, rt.getValue(h, row));
				}
				ml.closeList();
			}
			pathObjects.add(pathObject);
		}
	}
	return pathObjects;
}
 

import ij.plugin.filter.Analyzer; //导入方法依赖的package包/类
private float[] getHyperstackProfile(Roi roi, double minThreshold, double maxThreshold) {
	int slices = imp.getNSlices();
	int frames = imp.getNFrames();
	int c = imp.getC();
	int z = imp.getZ();
	int t = imp.getT();
	int size = slices;
	if (firstTime)
		timeProfile = slices==1 && frames>1;
	if (slices>1 && frames>1 && (!isPlotMaker ||firstTime)) {
		showingDialog = true;
		GenericDialog gd = new GenericDialog("Profiler");
		gd.addChoice("Profile", choices, choice);
		gd.showDialog();
		if (gd.wasCanceled())
			return null;
		choice = gd.getNextChoice();
		timeProfile = choice.equals(choices[0]);
	}
	if (timeProfile)
		size = frames;
	else
		size = slices;
	float[] values = new float[size];
	Calibration cal = imp.getCalibration();
	Analyzer analyzer = new Analyzer(imp);
	int measurements = Analyzer.getMeasurements();
	boolean showResults = !isPlotMaker && measurements!=0 && measurements!=LIMIT;
	measurements |= MEAN;
	if (showResults) {
		if (!Analyzer.resetCounter())
			return null;
	}
	ImageStack stack = imp.getStack();
	for (int i=1; i<=size; i++) {
		int index = 1;
		if (timeProfile)
			index = imp.getStackIndex(c, z, i);
		else
			index = imp.getStackIndex(c, i, t);
		ImageProcessor ip = stack.getProcessor(index);
		if (minThreshold!=ImageProcessor.NO_THRESHOLD)
			ip.setThreshold(minThreshold,maxThreshold,ImageProcessor.NO_LUT_UPDATE);
		ip.setRoi(roi);
		ImageStatistics stats = ImageStatistics.getStatistics(ip, measurements, cal);
		analyzer.saveResults(stats, roi);
		values[i-1] = (float)stats.mean;
	}
	if (showResults) {
		ResultsTable rt = Analyzer.getResultsTable();
		rt.show("Results");
	}
	return values;
}
 

import ij.plugin.filter.Analyzer; //导入方法依赖的package包/类
private float[] getZAxisProfile(Roi roi, double minThreshold, double maxThreshold) {
	ImageStack stack = imp.getStack();
	if (firstTime) {
		int slices = imp.getNSlices();
		int frames = imp.getNFrames();
		timeProfile = slices==1 && frames>1;
	}
	int size = stack.getSize();
	float[] values = new float[size];
	Calibration cal = imp.getCalibration();
	Analyzer analyzer = new Analyzer(imp);
	int measurements = Analyzer.getMeasurements();
	boolean showResults = !isPlotMaker && measurements!=0 && measurements!=LIMIT;
	boolean showingLabels = firstTime && showResults && ((measurements&LABELS)!=0 || (measurements&SLICE)!=0);
	measurements |= MEAN;
	if (showResults) {
		if (!Analyzer.resetCounter())
			return null;
	}
	boolean isLine = roi!=null && roi.isLine();
	int current = imp.getCurrentSlice();
	for (int i=1; i<=size; i++) {
		if (showingLabels)
			imp.setSlice(i);
		ImageProcessor ip = stack.getProcessor(i);
		if (minThreshold!=ImageProcessor.NO_THRESHOLD)
			ip.setThreshold(minThreshold,maxThreshold,ImageProcessor.NO_LUT_UPDATE);
		ip.setRoi(roi);
		ImageStatistics stats = null;
		if (isLine)
			stats = getLineStatistics(roi, ip, measurements, cal);
		else
			stats = ImageStatistics.getStatistics(ip, measurements, cal);
		analyzer.saveResults(stats, roi);
		values[i-1] = (float)stats.mean;
	}
	if (showResults) {
		ResultsTable rt = Analyzer.getResultsTable();
		rt.show("Results");
	}
	if (showingLabels)
		imp.setSlice(current);
	return values;
}