示例#1
0
 // Conversion Options
 void conversions() {
   double[] weights = ColorProcessor.getWeightingFactors();
   boolean weighted = !(weights[0] == 1d / 3d && weights[1] == 1d / 3d && weights[2] == 1d / 3d);
   // boolean weighted = !(Math.abs(weights[0]-1d/3d)<0.0001 && Math.abs(weights[1]-1d/3d)<0.0001
   // && Math.abs(weights[2]-1d/3d)<0.0001);
   GenericDialog gd = new GenericDialog("Conversion Options");
   gd.addCheckbox("Scale when converting", ImageConverter.getDoScaling());
   String prompt = "Weighted RGB conversions";
   if (weighted)
     prompt +=
         " (" + IJ.d2s(weights[0]) + "," + IJ.d2s(weights[1]) + "," + IJ.d2s(weights[2]) + ")";
   gd.addCheckbox(prompt, weighted);
   gd.showDialog();
   if (gd.wasCanceled()) return;
   ImageConverter.setDoScaling(gd.getNextBoolean());
   Prefs.weightedColor = gd.getNextBoolean();
   if (!Prefs.weightedColor) ColorProcessor.setWeightingFactors(1d / 3d, 1d / 3d, 1d / 3d);
   else if (Prefs.weightedColor && !weighted)
     ColorProcessor.setWeightingFactors(0.299, 0.587, 0.114);
   return;
 }
示例#2
0
  /*
  if selection is closed shape, create a circle with the same area and centroid, otherwise use<br>
  the Pratt method to fit a circle to the points that define the line or multi-point selection.<br>
  Reference: Pratt V., Direct least-squares fitting of algebraic surfaces", Computer Graphics, Vol. 21, pages 145-152 (1987).<br>
  Original code: Nikolai Chernov's MATLAB script for Newton-based Pratt fit.<br>
  (http://www.math.uab.edu/~chernov/cl/MATLABcircle.html)<br>
  Java version: https://github.com/mdoube/BoneJ/blob/master/src/org/doube/geometry/FitCircle.java<br>
  @authors Nikolai Chernov, Michael Doube, Ved Sharma
  */
  void fitCircle(ImagePlus imp) {
    Roi roi = imp.getRoi();
    if (roi == null) {
      noRoi("Fit Circle");
      return;
    }

    if (roi.isArea()) { // create circle with the same area and centroid
      ImageProcessor ip = imp.getProcessor();
      ip.setRoi(roi);
      ImageStatistics stats =
          ImageStatistics.getStatistics(ip, Measurements.AREA + Measurements.CENTROID, null);
      double r = Math.sqrt(stats.pixelCount / Math.PI);
      imp.killRoi();
      int d = (int) Math.round(2.0 * r);
      IJ.makeOval(
          (int) Math.round(stats.xCentroid - r), (int) Math.round(stats.yCentroid - r), d, d);
      return;
    }

    Polygon poly = roi.getPolygon();
    int n = poly.npoints;
    int[] x = poly.xpoints;
    int[] y = poly.ypoints;
    if (n < 3) {
      IJ.error("Fit Circle", "At least 3 points are required to fit a circle.");
      return;
    }

    // calculate point centroid
    double sumx = 0, sumy = 0;
    for (int i = 0; i < n; i++) {
      sumx = sumx + poly.xpoints[i];
      sumy = sumy + poly.ypoints[i];
    }
    double meanx = sumx / n;
    double meany = sumy / n;

    // calculate moments
    double[] X = new double[n], Y = new double[n];
    double Mxx = 0, Myy = 0, Mxy = 0, Mxz = 0, Myz = 0, Mzz = 0;
    for (int i = 0; i < n; i++) {
      X[i] = x[i] - meanx;
      Y[i] = y[i] - meany;
      double Zi = X[i] * X[i] + Y[i] * Y[i];
      Mxy = Mxy + X[i] * Y[i];
      Mxx = Mxx + X[i] * X[i];
      Myy = Myy + Y[i] * Y[i];
      Mxz = Mxz + X[i] * Zi;
      Myz = Myz + Y[i] * Zi;
      Mzz = Mzz + Zi * Zi;
    }
    Mxx = Mxx / n;
    Myy = Myy / n;
    Mxy = Mxy / n;
    Mxz = Mxz / n;
    Myz = Myz / n;
    Mzz = Mzz / n;

    // calculate the coefficients of the characteristic polynomial
    double Mz = Mxx + Myy;
    double Cov_xy = Mxx * Myy - Mxy * Mxy;
    double Mxz2 = Mxz * Mxz;
    double Myz2 = Myz * Myz;
    double A2 = 4 * Cov_xy - 3 * Mz * Mz - Mzz;
    double A1 = Mzz * Mz + 4 * Cov_xy * Mz - Mxz2 - Myz2 - Mz * Mz * Mz;
    double A0 = Mxz2 * Myy + Myz2 * Mxx - Mzz * Cov_xy - 2 * Mxz * Myz * Mxy + Mz * Mz * Cov_xy;
    double A22 = A2 + A2;
    double epsilon = 1e-12;
    double ynew = 1e+20;
    int IterMax = 20;
    double xnew = 0;
    int iterations = 0;

    // Newton's method starting at x=0
    for (int iter = 1; iter <= IterMax; iter++) {
      iterations = iter;
      double yold = ynew;
      ynew = A0 + xnew * (A1 + xnew * (A2 + 4. * xnew * xnew));
      if (Math.abs(ynew) > Math.abs(yold)) {
        if (IJ.debugMode) IJ.log("Fit Circle: wrong direction: |ynew| > |yold|");
        xnew = 0;
        break;
      }
      double Dy = A1 + xnew * (A22 + 16 * xnew * xnew);
      double xold = xnew;
      xnew = xold - ynew / Dy;
      if (Math.abs((xnew - xold) / xnew) < epsilon) break;
      if (iter >= IterMax) {
        if (IJ.debugMode) IJ.log("Fit Circle: will not converge");
        xnew = 0;
      }
      if (xnew < 0) {
        if (IJ.debugMode) IJ.log("Fit Circle: negative root:  x = " + xnew);
        xnew = 0;
      }
    }
    if (IJ.debugMode)
      IJ.log("Fit Circle: n=" + n + ", xnew=" + IJ.d2s(xnew, 2) + ", iterations=" + iterations);

    // calculate the circle parameters
    double DET = xnew * xnew - xnew * Mz + Cov_xy;
    double CenterX = (Mxz * (Myy - xnew) - Myz * Mxy) / (2 * DET);
    double CenterY = (Myz * (Mxx - xnew) - Mxz * Mxy) / (2 * DET);
    double radius = Math.sqrt(CenterX * CenterX + CenterY * CenterY + Mz + 2 * xnew);
    if (Double.isNaN(radius)) {
      IJ.error("Fit Circle", "Points are collinear.");
      return;
    }
    CenterX = CenterX + meanx;
    CenterY = CenterY + meany;
    imp.killRoi();
    IJ.makeOval(
        (int) Math.round(CenterX - radius),
        (int) Math.round(CenterY - radius),
        (int) Math.round(2 * radius),
        (int) Math.round(2 * radius));
  }
示例#3
0
  public void run(String arg) {
    imp = IJ.getImage();
    int stackSize = imp.getStackSize();
    if (imp == null) {
      IJ.noImage();
      return;
    }

    //  Make sure input image is a stack.
    if (stackSize == 1) {
      IJ.error("Z Project", "Stack required");
      return;
    }

    //  Check for inverting LUT.
    if (imp.getProcessor().isInvertedLut()) {
      if (!IJ.showMessageWithCancel("ZProjection", lutMessage)) return;
    }

    // Set default bounds.
    int channels = imp.getNChannels();
    int frames = imp.getNFrames();
    int slices = imp.getNSlices();
    isHyperstack =
        imp.isHyperStack()
            || (ij.macro.Interpreter.isBatchMode()
                && ((frames > 1 && frames < stackSize) || (slices > 1 && slices < stackSize)));
    boolean simpleComposite = channels == stackSize;
    if (simpleComposite) isHyperstack = false;
    startSlice = 1;
    if (isHyperstack) {
      int nSlices = imp.getNSlices();
      if (nSlices > 1) stopSlice = nSlices;
      else stopSlice = imp.getNFrames();
    } else stopSlice = stackSize;

    // Build control dialog
    GenericDialog gd = buildControlDialog(startSlice, stopSlice);
    gd.showDialog();
    if (gd.wasCanceled()) return;

    if (!imp.lock()) return; // exit if in use
    long tstart = System.currentTimeMillis();
    setStartSlice((int) gd.getNextNumber());
    setStopSlice((int) gd.getNextNumber());
    method = gd.getNextChoiceIndex();
    Prefs.set(METHOD_KEY, method);
    if (isHyperstack) {
      allTimeFrames = imp.getNFrames() > 1 && imp.getNSlices() > 1 ? gd.getNextBoolean() : false;
      doHyperStackProjection(allTimeFrames);
    } else if (imp.getType() == ImagePlus.COLOR_RGB) doRGBProjection(true);
    else doProjection(true);

    if (arg.equals("") && projImage != null) {
      long tstop = System.currentTimeMillis();
      projImage.setCalibration(imp.getCalibration());
      if (simpleComposite) IJ.run(projImage, "Grays", "");
      projImage.show("ZProjector: " + IJ.d2s((tstop - tstart) / 1000.0, 2) + " seconds");
    }

    imp.unlock();
    IJ.register(ZProjector.class);
    return;
  }