예제 #1
0
 void createEllipse(ImagePlus imp) {
   IJ.showStatus("Fitting ellipse");
   Roi roi = imp.getRoi();
   if (roi == null) {
     noRoi("Fit Ellipse");
     return;
   }
   if (roi.isLine()) {
     IJ.error("Fit Ellipse", "\"Fit Ellipse\" does not work with line selections");
     return;
   }
   ImageProcessor ip = imp.getProcessor();
   ip.setRoi(roi);
   int options = Measurements.CENTROID + Measurements.ELLIPSE;
   ImageStatistics stats = ImageStatistics.getStatistics(ip, options, null);
   double dx = stats.major * Math.cos(stats.angle / 180.0 * Math.PI) / 2.0;
   double dy = -stats.major * Math.sin(stats.angle / 180.0 * Math.PI) / 2.0;
   double x1 = stats.xCentroid - dx;
   double x2 = stats.xCentroid + dx;
   double y1 = stats.yCentroid - dy;
   double y2 = stats.yCentroid + dy;
   double aspectRatio = stats.minor / stats.major;
   imp.killRoi();
   imp.setRoi(new EllipseRoi(x1, y1, x2, y2, aspectRatio));
 }
예제 #2
0
 public void run(String arg) {
   imp = WindowManager.getCurrentImage();
   if (arg.equals("add")) {
     addToRoiManager(imp);
     return;
   }
   if (imp == null) {
     IJ.noImage();
     return;
   }
   if (arg.equals("all")) imp.setRoi(0, 0, imp.getWidth(), imp.getHeight());
   else if (arg.equals("none")) imp.killRoi();
   else if (arg.equals("restore")) imp.restoreRoi();
   else if (arg.equals("spline")) fitSpline();
   else if (arg.equals("circle")) fitCircle(imp);
   else if (arg.equals("ellipse")) createEllipse(imp);
   else if (arg.equals("hull")) convexHull(imp);
   else if (arg.equals("mask")) createMask(imp);
   else if (arg.equals("from")) createSelectionFromMask(imp);
   else if (arg.equals("inverse")) invert(imp);
   else if (arg.equals("toarea")) lineToArea(imp);
   else if (arg.equals("toline")) areaToLine(imp);
   else if (arg.equals("properties")) {
     setProperties("Properties ", imp.getRoi());
     imp.draw();
   } else if (arg.equals("band")) makeBand(imp);
   else if (arg.equals("tobox")) toBoundingBox(imp);
   else runMacro(arg);
 }
예제 #3
0
 void interpolate() {
   Roi roi = imp.getRoi();
   if (roi == null) {
     noRoi("Interpolate");
     return;
   }
   if (roi.getType() == Roi.POINT) return;
   if (IJ.isMacro() && Macro.getOptions() == null) Macro.setOptions("interval=1");
   GenericDialog gd = new GenericDialog("Interpolate");
   gd.addNumericField("Interval:", 1.0, 1, 4, "pixel");
   gd.addCheckbox("Smooth", IJ.isMacro() ? false : smooth);
   gd.showDialog();
   if (gd.wasCanceled()) return;
   double interval = gd.getNextNumber();
   smooth = gd.getNextBoolean();
   Undo.setup(Undo.ROI, imp);
   FloatPolygon poly = roi.getInterpolatedPolygon(interval, smooth);
   int t = roi.getType();
   int type = roi.isLine() ? Roi.FREELINE : Roi.FREEROI;
   if (t == Roi.POLYGON && interval > 1.0) type = Roi.POLYGON;
   if ((t == Roi.RECTANGLE || t == Roi.OVAL || t == Roi.FREEROI) && interval >= 5.0)
     type = Roi.POLYGON;
   if ((t == Roi.LINE || t == Roi.FREELINE) && interval >= 5.0) type = Roi.POLYLINE;
   if (t == Roi.POLYLINE && interval >= 1.0) type = Roi.POLYLINE;
   ImageCanvas ic = imp.getCanvas();
   if (poly.npoints <= 150 && ic != null && ic.getMagnification() >= 12.0)
     type = roi.isLine() ? Roi.POLYLINE : Roi.POLYGON;
   Roi p = new PolygonRoi(poly, type);
   if (roi.getStroke() != null) p.setStrokeWidth(roi.getStrokeWidth());
   p.setStrokeColor(roi.getStrokeColor());
   p.setName(roi.getName());
   transferProperties(roi, p);
   imp.setRoi(p);
 }
예제 #4
0
 void lineToArea(ImagePlus imp) {
   Roi roi = imp.getRoi();
   if (roi == null || !roi.isLine()) {
     IJ.error("Line to Area", "Line selection required");
     return;
   }
   Undo.setup(Undo.ROI, imp);
   Roi roi2 = null;
   if (roi.getType() == Roi.LINE) {
     double width = roi.getStrokeWidth();
     if (width <= 1.0) roi.setStrokeWidth(1.0000001);
     FloatPolygon p = roi.getFloatPolygon();
     roi.setStrokeWidth(width);
     roi2 = new PolygonRoi(p, Roi.POLYGON);
     roi2.setDrawOffset(roi.getDrawOffset());
   } else {
     ImageProcessor ip2 = new ByteProcessor(imp.getWidth(), imp.getHeight());
     ip2.setColor(255);
     roi.drawPixels(ip2);
     // new ImagePlus("ip2", ip2.duplicate()).show();
     ip2.setThreshold(255, 255, ImageProcessor.NO_LUT_UPDATE);
     ThresholdToSelection tts = new ThresholdToSelection();
     roi2 = tts.convert(ip2);
   }
   transferProperties(roi, roi2);
   roi2.setStrokeWidth(0);
   Color c = roi2.getStrokeColor();
   if (c != null) // remove any transparency
   roi2.setStrokeColor(new Color(c.getRed(), c.getGreen(), c.getBlue()));
   imp.setRoi(roi2);
   Roi.previousRoi = (Roi) roi.clone();
 }
예제 #5
0
 void lineToArea(ImagePlus imp) {
   Roi roi = imp.getRoi();
   if (roi == null || !roi.isLine()) {
     IJ.error("Line to Area", "Line selection required");
     return;
   }
   if (roi.getType() == Roi.LINE && roi.getStrokeWidth() == 1) {
     IJ.error("Line to Area", "Straight line width must be > 1");
     return;
   }
   ImageProcessor ip2 = new ByteProcessor(imp.getWidth(), imp.getHeight());
   ip2.setColor(255);
   if (roi.getType() == Roi.LINE) ip2.fillPolygon(roi.getPolygon());
   else {
     roi.drawPixels(ip2);
     // BufferedImage bi = new BufferedImage(imp.getWidth(), imp.getHeight(),
     // BufferedImage.TYPE_BYTE_GRAY);
     // Graphics g = bi.getGraphics();
     // Roi roi2 = (Roi)roi.clone();
     // roi2.setStrokeColor(Color.white);
     // roi2.drawOverlay(g);
     // ip2 = new ByteProcessor(bi);
   }
   // new ImagePlus("ip2", ip2.duplicate()).show();
   ip2.setThreshold(255, 255, ImageProcessor.NO_LUT_UPDATE);
   ThresholdToSelection tts = new ThresholdToSelection();
   Roi roi2 = tts.convert(ip2);
   imp.setRoi(roi2);
   Roi.previousRoi = (Roi) roi.clone();
 }
예제 #6
0
 void toBoundingBox(ImagePlus imp) {
   Roi roi = imp.getRoi();
   if (roi == null) {
     noRoi("To Bounding Box");
     return;
   }
   Rectangle r = roi.getBounds();
   imp.killRoi();
   imp.setRoi(new Roi(r.x, r.y, r.width, r.height));
 }
예제 #7
0
 void invert(ImagePlus imp) {
   Roi roi = imp.getRoi();
   if (roi == null || !roi.isArea()) {
     IJ.error("Inverse", "Area selection required");
     return;
   }
   ShapeRoi s1, s2;
   if (roi instanceof ShapeRoi) s1 = (ShapeRoi) roi;
   else s1 = new ShapeRoi(roi);
   s2 = new ShapeRoi(new Roi(0, 0, imp.getWidth(), imp.getHeight()));
   imp.setRoi(s1.xor(s2));
 }
예제 #8
0
 protected void handleRoiMouseDown(MouseEvent e) {
   int sx = e.getX();
   int sy = e.getY();
   int ox = offScreenX(sx);
   int oy = offScreenY(sy);
   Roi roi = imp.getRoi();
   int handle = roi != null ? roi.isHandle(sx, sy) : -1;
   boolean multiPointMode =
       roi != null
           && (roi instanceof PointRoi)
           && handle == -1
           && Toolbar.getToolId() == Toolbar.POINT
           && Toolbar.getMultiPointMode();
   if (multiPointMode) {
     imp.setRoi(((PointRoi) roi).addPoint(ox, oy));
     return;
   }
   setRoiModState(e, roi, handle);
   if (roi != null) {
     if (handle >= 0) {
       roi.mouseDownInHandle(handle, sx, sy);
       return;
     }
     Rectangle r = roi.getBounds();
     int type = roi.getType();
     if (type == Roi.RECTANGLE
         && r.width == imp.getWidth()
         && r.height == imp.getHeight()
         && roi.getPasteMode() == Roi.NOT_PASTING
         && !(roi instanceof ImageRoi)) {
       imp.killRoi();
       return;
     }
     if (roi.contains(ox, oy)) {
       if (roi.modState == Roi.NO_MODS) roi.handleMouseDown(sx, sy);
       else {
         imp.killRoi();
         imp.createNewRoi(sx, sy);
       }
       return;
     }
     if ((type == Roi.POLYGON || type == Roi.POLYLINE || type == Roi.ANGLE)
         && roi.getState() == roi.CONSTRUCTING) return;
     int tool = Toolbar.getToolId();
     if ((tool == Toolbar.POLYGON || tool == Toolbar.POLYLINE || tool == Toolbar.ANGLE)
         && !(IJ.shiftKeyDown() || IJ.altKeyDown())) {
       imp.killRoi();
       return;
     }
   }
   imp.createNewRoi(sx, sy);
 }
예제 #9
0
 void toBoundingBox(ImagePlus imp) {
   Roi roi = imp.getRoi();
   if (roi == null) {
     noRoi("To Bounding Box");
     return;
   }
   Undo.setup(Undo.ROI, imp);
   Rectangle r = roi.getBounds();
   imp.deleteRoi();
   Roi roi2 = new Roi(r.x, r.y, r.width, r.height);
   transferProperties(roi, roi2);
   imp.setRoi(roi2);
 }
 public void run(ImageProcessor ip) {
   if (canceled) return;
   slice++;
   if (imp.getStackSize() > 1 && processStack) imp.setSlice(slice);
   if (imp.getType() == ImagePlus.COLOR_RGB) {
     ip = (ImageProcessor) imp.getProperty("Mask");
     ip.setThreshold(255, 255, ImageProcessor.NO_LUT_UPDATE);
   }
   if (!analyze(imp, ip)) canceled = true;
   if (slice == imp.getStackSize()) {
     imp.updateAndDraw();
     if (saveRoi != null) imp.setRoi(saveRoi);
   }
 }
예제 #11
0
 void convexHull(ImagePlus imp) {
   Roi roi = imp.getRoi();
   int type = roi != null ? roi.getType() : -1;
   if (!(type == Roi.FREEROI
       || type == Roi.TRACED_ROI
       || type == Roi.POLYGON
       || type == Roi.POINT)) {
     IJ.error("Convex Hull", "Polygonal or point selection required");
     return;
   }
   if (roi instanceof EllipseRoi) return;
   Polygon p = roi.getConvexHull();
   if (p != null) imp.setRoi(new PolygonRoi(p.xpoints, p.ypoints, p.npoints, roi.POLYGON));
 }
예제 #12
0
 void lineToArea(ImagePlus imp) {
   Roi roi = imp.getRoi();
   if (roi == null || !roi.isLine()) {
     IJ.error("Line to Area", "Line selection required");
     return;
   }
   ImageProcessor ip2 = new ByteProcessor(imp.getWidth(), imp.getHeight());
   ip2.setColor(255);
   if (roi.getType() == Roi.LINE && roi.getStrokeWidth() > 1) ip2.fillPolygon(roi.getPolygon());
   else roi.drawPixels(ip2);
   // new ImagePlus("ip2", ip2.duplicate()).show();
   ip2.setThreshold(255, 255, ImageProcessor.NO_LUT_UPDATE);
   ThresholdToSelection tts = new ThresholdToSelection();
   Roi roi2 = tts.convert(ip2);
   imp.setRoi(roi2);
   Roi.previousRoi = (Roi) roi.clone();
 }
예제 #13
0
 PolygonRoi trimPolygon(PolygonRoi roi, double length) {
   int[] x = roi.getXCoordinates();
   int[] y = roi.getYCoordinates();
   int n = roi.getNCoordinates();
   x = smooth(x, n);
   y = smooth(y, n);
   float[] curvature = getCurvature(x, y, n);
   Rectangle r = roi.getBounds();
   double threshold = rodbard(length);
   // IJ.log("trim: "+length+" "+threshold);
   double distance = Math.sqrt((x[1] - x[0]) * (x[1] - x[0]) + (y[1] - y[0]) * (y[1] - y[0]));
   x[0] += r.x;
   y[0] += r.y;
   int i2 = 1;
   int x1, y1, x2 = 0, y2 = 0;
   for (int i = 1; i < n - 1; i++) {
     x1 = x[i];
     y1 = y[i];
     x2 = x[i + 1];
     y2 = y[i + 1];
     distance += Math.sqrt((x2 - x1) * (x2 - x1) + (y2 - y1) * (y2 - y1)) + 1;
     distance += curvature[i] * 2;
     if (distance >= threshold) {
       x[i2] = x2 + r.x;
       y[i2] = y2 + r.y;
       i2++;
       distance = 0.0;
     }
   }
   int type = roi.getType() == Roi.FREELINE ? Roi.POLYLINE : Roi.POLYGON;
   if (type == Roi.POLYLINE && distance > 0.0) {
     x[i2] = x2 + r.x;
     y[i2] = y2 + r.y;
     i2++;
   }
   PolygonRoi p = new PolygonRoi(x, y, i2, type);
   if (roi.getStroke() != null) p.setStrokeWidth(roi.getStrokeWidth());
   p.setStrokeColor(roi.getStrokeColor());
   p.setName(roi.getName());
   imp.setRoi(p);
   return p;
 }
예제 #14
0
 PolygonRoi trimFloatPolygon(PolygonRoi roi, double length) {
   FloatPolygon poly = roi.getFloatPolygon();
   float[] x = poly.xpoints;
   float[] y = poly.ypoints;
   int n = poly.npoints;
   x = smooth(x, n);
   y = smooth(y, n);
   float[] curvature = getCurvature(x, y, n);
   double threshold = rodbard(length);
   // IJ.log("trim: "+length+" "+threshold);
   double distance = Math.sqrt((x[1] - x[0]) * (x[1] - x[0]) + (y[1] - y[0]) * (y[1] - y[0]));
   int i2 = 1;
   double x1, y1, x2 = 0, y2 = 0;
   for (int i = 1; i < n - 1; i++) {
     x1 = x[i];
     y1 = y[i];
     x2 = x[i + 1];
     y2 = y[i + 1];
     distance += Math.sqrt((x2 - x1) * (x2 - x1) + (y2 - y1) * (y2 - y1)) + 1;
     distance += curvature[i] * 2;
     if (distance >= threshold) {
       x[i2] = (float) x2;
       y[i2] = (float) y2;
       i2++;
       distance = 0.0;
     }
   }
   int type = roi.getType() == Roi.FREELINE ? Roi.POLYLINE : Roi.POLYGON;
   if (type == Roi.POLYLINE && distance > 0.0) {
     x[i2] = (float) x2;
     y[i2] = (float) y2;
     i2++;
   }
   PolygonRoi p = new PolygonRoi(x, y, i2, type);
   if (roi.getStroke() != null) p.setStrokeWidth(roi.getStrokeWidth());
   p.setStrokeColor(roi.getStrokeColor());
   p.setDrawOffset(roi.getDrawOffset());
   p.setName(roi.getName());
   imp.setRoi(p);
   return p;
 }
예제 #15
0
 void areaToLine(ImagePlus imp) {
   Roi roi = imp.getRoi();
   if (roi == null || !roi.isArea()) {
     IJ.error("Area to Line", "Area selection required");
     return;
   }
   Polygon p = roi.getPolygon();
   if (p == null) return;
   int type1 = roi.getType();
   if (type1 == Roi.COMPOSITE) {
     IJ.error("Area to Line", "Composite selections cannot be converted to lines.");
     return;
   }
   int type2 = Roi.POLYLINE;
   if (type1 == Roi.OVAL
       || type1 == Roi.FREEROI
       || type1 == Roi.TRACED_ROI
       || ((roi instanceof PolygonRoi) && ((PolygonRoi) roi).isSplineFit())) type2 = Roi.FREELINE;
   Roi roi2 = new PolygonRoi(p.xpoints, p.ypoints, p.npoints, type2);
   imp.setRoi(roi2);
 }
예제 #16
0
 void runMacro(String arg, ImagePlus imp) {
   boolean rotate = arg.equals("rotate");
   Roi roi = imp.getRoi();
   if (rotate && IJ.macroRunning()) {
     String options = Macro.getOptions();
     if (options != null
         && (options.indexOf("grid=") != -1 || options.indexOf("interpolat") != -1)) {
       IJ.run("Rotate... ", options); // run Image>Transform>Rotate
       return;
     }
   }
   if (roi == null) {
     noRoi(rotate ? "Rotate" : "Enlarge");
     return;
   }
   double dangle = Tools.parseDouble(angle);
   if (Double.isNaN(dangle)) {
     dangle = 15;
     angle = "" + dangle;
   }
   if (rotate && (roi instanceof ImageRoi)) {
     dangle = IJ.getNumber("Angle (degrees):", dangle);
     ((ImageRoi) roi).rotate(dangle);
     imp.draw();
     angle = "" + dangle;
     return;
   }
   Undo.setup(Undo.ROI, imp);
   roi = (Roi) roi.clone();
   if (rotate) {
     String value = IJ.runMacroFile("ij.jar:RotateSelection", angle);
     Roi roi2 = imp.getRoi();
     transferProperties(roi, roi2);
     imp.setRoi(roi2);
     if (value != null) angle = value;
   } else if (arg.equals("enlarge")) (new RoiEnlarger()).run("");
 }
예제 #17
0
 void convexHull(ImagePlus imp) {
   Roi roi = imp.getRoi();
   int type = roi != null ? roi.getType() : -1;
   if (!(type == Roi.FREEROI
       || type == Roi.TRACED_ROI
       || type == Roi.POLYGON
       || type == Roi.POINT)) {
     IJ.error("Convex Hull", "Polygonal or point selection required");
     return;
   }
   if (roi instanceof EllipseRoi) return;
   // if (roi.subPixelResolution() && roi instanceof PolygonRoi) {
   //	FloatPolygon p = ((PolygonRoi)roi).getFloatConvexHull();
   //	if (p!=null)
   //		imp.setRoi(new PolygonRoi(p.xpoints, p.ypoints, p.npoints, roi.POLYGON));
   // } else {
   Polygon p = roi.getConvexHull();
   if (p != null) {
     Undo.setup(Undo.ROI, imp);
     Roi roi2 = new PolygonRoi(p.xpoints, p.ypoints, p.npoints, roi.POLYGON);
     transferProperties(roi, roi2);
     imp.setRoi(roi2);
   }
 }
  public void run(ImageProcessor ip) {
    String[] imageNames = getOpenImageNames();
    if (imageNames[0] == "None") {
      IJ.error("need at least 2 binary open images");
      return;
    }
    double previousMinOverlap = Prefs.get("BVTB.BinaryFeatureExtractor.minOverlap", 0);
    boolean previousCombine = Prefs.get("BVTB.BinaryFeatureExtractor.combine", false);

    GenericDialog gd = new GenericDialog("Binary Feature Extractor");
    gd.addChoice("Objects image", imageNames, imageNames[0]);
    gd.addChoice("Selector image", imageNames, imageNames[1]);
    gd.addNumericField("Object_overlap in % (0=off)", previousMinOverlap, 0, 9, "");
    gd.addCheckbox("Combine objects and selectors", previousCombine);
    gd.addCheckbox("Count output", true);
    gd.addCheckbox("Analysis tables", false);
    gd.showDialog();
    if (gd.wasCanceled()) {
      return;
    }
    String objectsImgTitle = gd.getNextChoice();
    String selectorsImgTitle = gd.getNextChoice();
    double minOverlap = gd.getNextNumber();
    boolean combineImages = gd.getNextBoolean();
    boolean showCountOutput = gd.getNextBoolean();
    boolean showAnalysis = gd.getNextBoolean();
    if (gd.invalidNumber() || minOverlap < 0 || minOverlap > 100) {
      IJ.error("invalid number");
      return;
    }
    Prefs.set("BVTB.BinaryFeatureExtractor.minOverlap", minOverlap);
    Prefs.set("BVTB.BinaryFeatureExtractor.combine", combineImages);

    if (objectsImgTitle.equals(selectorsImgTitle)) {
      IJ.error("images need to be different");
      return;
    }

    ImagePlus objectsImp = WindowManager.getImage(objectsImgTitle);
    ImageProcessor objectsIP = objectsImp.getProcessor();
    ImagePlus selectorsImp = WindowManager.getImage(selectorsImgTitle);
    ImageProcessor selectorsIP = selectorsImp.getProcessor();

    if (!objectsIP.isBinary() || !selectorsIP.isBinary()) {
      IJ.error("works with 8-bit binary images only");
      return;
    }

    if ((objectsImp.getWidth() != selectorsImp.getWidth())
        || objectsImp.getHeight() != selectorsImp.getHeight()) {
      IJ.error("images need to be of the same size");
      return;
    }

    // close any existing RoiManager before instantiating a new one for this analysis
    RoiManager oldRM = RoiManager.getInstance2();
    if (oldRM != null) {
      oldRM.close();
    }

    RoiManager objectsRM = new RoiManager(true);
    ResultsTable objectsRT = new ResultsTable();
    ParticleAnalyzer analyzeObjects =
        new ParticleAnalyzer(analyzerOptions, measurementFlags, objectsRT, 0.0, 999999999.9);
    analyzeObjects.setRoiManager(objectsRM);

    analyzeObjects.analyze(objectsImp);
    objectsRM.runCommand("Show None");
    int objectNumber = objectsRT.getCounter();

    Roi[] objectRoi = objectsRM.getRoisAsArray();

    ResultsTable measureSelectorsRT = new ResultsTable();
    Analyzer overlapAnalyzer = new Analyzer(selectorsImp, measurementFlags, measureSelectorsRT);

    ImagePlus outputImp =
        IJ.createImage("output", "8-bit black", objectsImp.getWidth(), objectsImp.getHeight(), 1);
    ImageProcessor outputIP = outputImp.getProcessor();

    double[] measuredOverlap = new double[objectNumber];

    outputIP.setValue(255.0);
    for (int o = 0; o < objectNumber; o++) {
      selectorsImp.killRoi();
      selectorsImp.setRoi(objectRoi[o]);
      overlapAnalyzer.measure();
      measuredOverlap[o] = measureSelectorsRT.getValue("%Area", o);
      if (minOverlap != 0.0 && measuredOverlap[o] >= minOverlap) {
        outputIP.fill(objectRoi[o]);
        finalCount++;
      } else if (minOverlap == 0.0 && measuredOverlap[o] > 0.0) {
        outputIP.fill(objectRoi[o]);
        finalCount++;
      }
    }
    // measureSelectorsRT.show("Objects");

    selectorsImp.killRoi();
    RoiManager selectorRM = new RoiManager(true);
    ResultsTable selectorRT = new ResultsTable();
    ParticleAnalyzer.setRoiManager(selectorRM);
    ParticleAnalyzer analyzeSelectors =
        new ParticleAnalyzer(analyzerOptions, measurementFlags, selectorRT, 0.0, 999999999.9);
    analyzeSelectors.analyze(selectorsImp);
    selectorRM.runCommand("Show None");
    int selectorNumber = selectorRT.getCounter();

    if (combineImages) {
      outputImp.updateAndDraw();
      Roi[] selectorRoi = selectorRM.getRoisAsArray();

      ResultsTable measureObjectsRT = new ResultsTable();
      Analyzer selectorAnalyzer = new Analyzer(outputImp, measurementFlags, measureObjectsRT);

      double[] selectorOverlap = new double[selectorNumber];
      outputIP.setValue(255.0);
      for (int s = 0; s < selectorNumber; s++) {
        outputImp.killRoi();
        outputImp.setRoi(selectorRoi[s]);
        selectorAnalyzer.measure();
        selectorOverlap[s] = measureObjectsRT.getValue("%Area", s);
        if (selectorOverlap[s] > 0.0d) {
          outputIP.fill(selectorRoi[s]);
        }
      }
      selectorRoi = null;
      selectorAnalyzer = null;
      measureObjectsRT = null;
    }
    // selectorRT.show("Selectors");
    outputImp.killRoi();
    String outputImageTitle = WindowManager.getUniqueName("Extracted_" + objectsImgTitle);
    outputImp.setTitle(outputImageTitle);
    outputImp.show();
    outputImp.changes = true;

    if (showCountOutput) {
      String[] openTextWindows = WindowManager.getNonImageTitles();
      boolean makeNewTable = true;
      for (int w = 0; w < openTextWindows.length; w++) {
        if (openTextWindows[w].equals("BFE_Results")) {
          makeNewTable = false;
        }
      }

      TextWindow existingCountTable = ResultsTable.getResultsWindow();
      if (makeNewTable) {
        countTable = new ResultsTable();
        countTable.setPrecision(0);
        countTable.setValue("Image", 0, outputImageTitle);
        countTable.setValue("Objects", 0, objectNumber);
        countTable.setValue("Selectors", 0, selectorNumber);
        countTable.setValue("Extracted", 0, finalCount);
        countTable.show("BFE_Results");
      } else {
        IJ.renameResults("BFE_Results", "Results");
        countTable = ResultsTable.getResultsTable();
        countTable.setPrecision(0);
        countTable.incrementCounter();
        countTable.addValue("Image", outputImageTitle);
        countTable.addValue("Objects", objectNumber);
        countTable.addValue("Selectors", selectorNumber);
        countTable.addValue("Extracted", finalCount);
        IJ.renameResults("Results", "BFE_Results");
        countTable.show("BFE_Results");
      }
    }

    if (showAnalysis) {
      ResultsTable extractedRT = new ResultsTable();
      ParticleAnalyzer analyzeExtracted =
          new ParticleAnalyzer(
              ParticleAnalyzer.CLEAR_WORKSHEET | ParticleAnalyzer.RECORD_STARTS,
              measurementFlags,
              extractedRT,
              0.0,
              999999999.9);
      analyzeExtracted.analyze(outputImp);
      objectsRT.show("Objects");
      selectorRT.show("Selectors");
      extractedRT.show("Extracted");
    } else {
      objectsRT = null;
      selectorRT = null;
    }

    objectsRM = null;
    measureSelectorsRT = null;
    analyzeObjects = null;
    overlapAnalyzer = null;
    objectRoi = null;
    selectorRM = null;

    objectsImp.killRoi();
    objectsImp.changes = false;
    selectorsImp.changes = false;
  }
예제 #19
0
 void toBoundingBox(ImagePlus imp) {
   Roi roi = imp.getRoi();
   Rectangle r = roi.getBounds();
   imp.killRoi();
   imp.setRoi(new Roi(r.x, r.y, r.width, r.height));
 }
예제 #20
0
 private void makeBand(ImagePlus imp) {
   Roi roi = imp.getRoi();
   if (roi == null) {
     noRoi("Make Band");
     return;
   }
   if (!roi.isArea()) {
     IJ.error("Make Band", "Area selection required");
     return;
   }
   Calibration cal = imp.getCalibration();
   double pixels = bandSize;
   double size = pixels * cal.pixelWidth;
   int decimalPlaces = 0;
   if ((int) size != size) decimalPlaces = 2;
   GenericDialog gd = new GenericDialog("Make Band");
   gd.addNumericField("Band Size:", size, decimalPlaces, 4, cal.getUnits());
   gd.showDialog();
   if (gd.wasCanceled()) return;
   size = gd.getNextNumber();
   if (Double.isNaN(size)) {
     IJ.error("Make Band", "invalid number");
     return;
   }
   int n = (int) Math.round(size / cal.pixelWidth);
   if (n > 255) {
     IJ.error("Make Band", "Cannot make bands wider that 255 pixels");
     return;
   }
   int width = imp.getWidth();
   int height = imp.getHeight();
   Rectangle r = roi.getBounds();
   ImageProcessor ip = roi.getMask();
   if (ip == null) {
     ip = new ByteProcessor(r.width, r.height);
     ip.invert();
   }
   ImageProcessor mask = new ByteProcessor(width, height);
   mask.insert(ip, r.x, r.y);
   ImagePlus edm = new ImagePlus("mask", mask);
   boolean saveBlackBackground = Prefs.blackBackground;
   Prefs.blackBackground = false;
   IJ.run(edm, "Distance Map", "");
   Prefs.blackBackground = saveBlackBackground;
   ip = edm.getProcessor();
   ip.setThreshold(0, n, ImageProcessor.NO_LUT_UPDATE);
   int xx = -1, yy = -1;
   for (int x = r.x; x < r.x + r.width; x++) {
     for (int y = r.y; y < r.y + r.height; y++) {
       if (ip.getPixel(x, y) < n) {
         xx = x;
         yy = y;
         break;
       }
     }
     if (xx >= 0 || yy >= 0) break;
   }
   int count = IJ.doWand(edm, xx, yy, 0, null);
   if (count <= 0) {
     IJ.error("Make Band", "Unable to make band");
     return;
   }
   ShapeRoi roi2 = new ShapeRoi(edm.getRoi());
   if (!(roi instanceof ShapeRoi)) roi = new ShapeRoi(roi);
   ShapeRoi roi1 = (ShapeRoi) roi;
   roi2 = roi2.not(roi1);
   imp.setRoi(roi2);
   bandSize = n;
 }
예제 #21
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
      Undo.setup(Undo.ROI, imp);
      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.deleteRoi();
      int d = (int) Math.round(2.0 * r);
      Roi roi2 =
          new OvalRoi(
              (int) Math.round(stats.xCentroid - r), (int) Math.round(stats.yCentroid - r), d, d);
      transferProperties(roi, roi2);
      imp.setRoi(roi2);
      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;
    Undo.setup(Undo.ROI, imp);
    imp.deleteRoi();
    IJ.makeOval(
        (int) Math.round(CenterX - radius),
        (int) Math.round(CenterY - radius),
        (int) Math.round(2 * radius),
        (int) Math.round(2 * radius));
  }