예제 #1
0
파일: Info.java 프로젝트: boron1111/ij
 private String getExifData(ImagePlus imp) {
   FileInfo fi = imp.getOriginalFileInfo();
   if (fi == null) return null;
   String directory = fi.directory;
   String name = fi.fileName;
   if (directory == null) return null;
   if ((name == null || name.equals("")) && imp.getStack().isVirtual())
     name = imp.getStack().getSliceLabel(imp.getCurrentSlice());
   if (name == null || !(name.endsWith("jpg") || name.endsWith("JPG"))) return null;
   String path = directory + name;
   String metadata = null;
   try {
     Class c = IJ.getClassLoader().loadClass("Exif_Reader");
     if (c == null) return null;
     String methodName = "getMetadata";
     Class[] argClasses = new Class[1];
     argClasses[0] = methodName.getClass();
     Method m = c.getMethod("getMetadata", argClasses);
     Object[] args = new Object[1];
     args[0] = path;
     Object obj = m.invoke(null, args);
     metadata = obj != null ? obj.toString() : null;
   } catch (Exception e) {
     return null;
   }
   if (metadata != null && !metadata.startsWith("Error:")) return metadata;
   else return null;
 }
 public void splitRGB(ImagePlus imp) {
   boolean keepSource = IJ.altKeyDown();
   String title = imp.getTitle();
   Calibration cal = imp.getCalibration();
   int pos = imp.getCurrentSlice();
   ImageStack[] channels = splitRGB(imp.getStack(), keepSource);
   if (!keepSource) {
     imp.unlock();
     imp.changes = false;
     imp.close();
   }
   ImagePlus rImp = new ImagePlus(title + " (red)", channels[0]);
   rImp.setCalibration(cal);
   rImp.show();
   rImp.setSlice(pos);
   if (IJ.isMacOSX()) IJ.wait(500);
   ImagePlus gImp = new ImagePlus(title + " (green)", channels[1]);
   gImp.setCalibration(cal);
   gImp.show();
   gImp.setSlice(pos);
   if (IJ.isMacOSX()) IJ.wait(500);
   ImagePlus bImp = new ImagePlus(title + " (blue)", channels[2]);
   bImp.setCalibration(cal);
   bImp.show();
   bImp.setSlice(pos);
 }
 /**
  * Saves statistics for one particle in a results table. This is a method subclasses may want to
  * override.
  */
 protected void saveResults(ImageStatistics stats, Roi roi) {
   analyzer.saveResults(stats, roi);
   if (recordStarts) {
     rt.addValue("XStart", stats.xstart);
     rt.addValue("YStart", stats.ystart);
   }
   if (addToManager) {
     if (roiManager == null) {
       if (Macro.getOptions() != null && Interpreter.isBatchMode())
         roiManager = Interpreter.getBatchModeRoiManager();
       if (roiManager == null) {
         Frame frame = WindowManager.getFrame("ROI Manager");
         if (frame == null) IJ.run("ROI Manager...");
         frame = WindowManager.getFrame("ROI Manager");
         if (frame == null || !(frame instanceof RoiManager)) {
           addToManager = false;
           return;
         }
         roiManager = (RoiManager) frame;
       }
       if (resetCounter) roiManager.runCommand("reset");
     }
     if (imp.getStackSize() > 1) roi.setPosition(imp.getCurrentSlice());
     if (lineWidth != 1) roi.setStrokeWidth(lineWidth);
     roiManager.add(imp, roi, rt.getCounter());
   }
   if (showResults) rt.addResults();
 }
예제 #4
0
 void drawAllROIs(Graphics g) {
   RoiManager rm = RoiManager.getInstance();
   if (rm == null) {
     rm = Interpreter.getBatchModeRoiManager();
     if (rm != null && rm.getList().getItemCount() == 0) rm = null;
   }
   if (rm == null) {
     // if (showAllList!=null)
     //	overlay = showAllList;
     showAllROIs = false;
     repaint();
     return;
   }
   initGraphics(g, null, showAllColor);
   Hashtable rois = rm.getROIs();
   java.awt.List list = rm.getList();
   boolean drawLabels = rm.getDrawLabels();
   currentRoi = null;
   int n = list.getItemCount();
   if (IJ.debugMode) IJ.log("paint: drawing " + n + " \"Show All\" ROIs");
   if (labelRects == null || labelRects.length != n) labelRects = new Rectangle[n];
   if (!drawLabels) showAllList = new Overlay();
   else showAllList = null;
   if (imp == null) return;
   int currentImage = imp.getCurrentSlice();
   int channel = 0, slice = 0, frame = 0;
   boolean hyperstack = imp.isHyperStack();
   if (hyperstack) {
     channel = imp.getChannel();
     slice = imp.getSlice();
     frame = imp.getFrame();
   }
   drawNames = Prefs.useNamesAsLabels;
   for (int i = 0; i < n; i++) {
     String label = list.getItem(i);
     Roi roi = (Roi) rois.get(label);
     if (roi == null) continue;
     if (showAllList != null) showAllList.add(roi);
     if (i < 200 && drawLabels && roi == imp.getRoi()) currentRoi = roi;
     if (Prefs.showAllSliceOnly && imp.getStackSize() > 1) {
       if (hyperstack && roi.getPosition() == 0) {
         int c = roi.getCPosition();
         int z = roi.getZPosition();
         int t = roi.getTPosition();
         if ((c == 0 || c == channel) && (z == 0 || z == slice) && (t == 0 || t == frame))
           drawRoi(g, roi, drawLabels ? i : -1);
       } else {
         int position = roi.getPosition();
         if (position == 0) position = getSliceNumber(roi.getName());
         if (position == 0 || position == currentImage) drawRoi(g, roi, drawLabels ? i : -1);
       }
     } else drawRoi(g, roi, drawLabels ? i : -1);
   }
   ((Graphics2D) g).setStroke(Roi.onePixelWide);
   drawNames = false;
 }
예제 #5
0
파일: Info.java 프로젝트: boron1111/ij
 public String getImageInfo(ImagePlus imp, ImageProcessor ip) {
   String infoProperty = null;
   if (imp.getStackSize() > 1) {
     ImageStack stack = imp.getStack();
     String label = stack.getSliceLabel(imp.getCurrentSlice());
     if (label != null && label.indexOf('\n') > 0) infoProperty = label;
   }
   if (infoProperty == null) {
     infoProperty = (String) imp.getProperty("Info");
     if (infoProperty == null) infoProperty = getExifData(imp);
   }
   String info = getInfo(imp, ip);
   if (infoProperty != null) return infoProperty + "\n------------------------\n" + info;
   else return info;
 }
예제 #6
0
 public StackWindow(ImagePlus imp, ImageCanvas ic) {
   super(imp, ic);
   addScrollbars(imp);
   addMouseWheelListener(this);
   if (sliceSelector == null && this.getClass().getName().indexOf("Image5D") != -1)
     sliceSelector = new Scrollbar(); // prevents Image5D from crashing
   // IJ.log(nChannels+" "+nSlices+" "+nFrames);
   pack();
   ic = imp.getCanvas();
   if (ic != null) ic.setMaxBounds();
   show();
   int previousSlice = imp.getCurrentSlice();
   if (previousSlice > 1 && previousSlice <= imp.getStackSize()) imp.setSlice(previousSlice);
   else imp.setSlice(1);
   thread = new Thread(this, "zSelector");
   thread.start();
 }
예제 #7
0
 public void run(String arg) {
   imp = IJ.getImage();
   if (imp == null) return;
   stackSize = imp.getStackSize();
   Roi roi = imp.getRoi();
   Calibration cal = imp.getCalibration();
   if (roi != null && roi.getBounds().equals(prevRoi) && cal.pixelWidth == prevPixelWidth)
     roi = null;
   if (roi != null) {
     boolean rectOrOval =
         roi != null && (roi.getType() == Roi.RECTANGLE || roi.getType() == Roi.OVAL);
     oval = rectOrOval && (roi.getType() == Roi.OVAL); // Handle existing oval ROI
     Rectangle r = roi.getBounds();
     width = r.width;
     height = r.height;
     xRoi = r.x;
     yRoi = r.y;
     if (scaledUnits && cal.scaled()) {
       xRoi = xRoi * cal.pixelWidth;
       yRoi = yRoi * cal.pixelHeight;
       width = width * cal.pixelWidth;
       height = height * cal.pixelHeight;
     }
     if (centered) { // Make xRoi and yRoi consistent when centered mode is active
       xRoi += width / 2.0;
       yRoi += height / 2.0;
     }
   } else if (!validDialogValues()) {
     width = imp.getWidth() / 2;
     height = imp.getHeight() / 2;
     xRoi = width / 2;
     yRoi = height / 2;
   }
   iSlice = imp.getCurrentSlice();
   showDialog();
 }
예제 #8
0
 void drawOverlay(Graphics g) {
   if (imp != null && imp.getHideOverlay()) return;
   Color labelColor = overlay.getLabelColor();
   if (labelColor == null) labelColor = Color.white;
   initGraphics(g, labelColor, Roi.getColor());
   int n = overlay.size();
   if (IJ.debugMode) IJ.log("paint: drawing " + n + " ROI display list");
   int currentImage = imp != null ? imp.getCurrentSlice() : -1;
   if (imp.getStackSize() == 1) currentImage = -1;
   int channel = 0, slice = 0, frame = 0;
   boolean hyperstack = imp.isHyperStack();
   if (hyperstack) {
     channel = imp.getChannel();
     slice = imp.getSlice();
     frame = imp.getFrame();
   }
   drawNames = overlay.getDrawNames();
   boolean drawLabels = drawNames || overlay.getDrawLabels();
   for (int i = 0; i < n; i++) {
     if (overlay == null) break;
     Roi roi = overlay.get(i);
     if (hyperstack && roi.getPosition() == 0) {
       int c = roi.getCPosition();
       int z = roi.getZPosition();
       int t = roi.getTPosition();
       if ((c == 0 || c == channel) && (z == 0 || z == slice) && (t == 0 || t == frame))
         drawRoi(g, roi, drawLabels ? i + LIST_OFFSET : -1);
     } else {
       int position = roi.getPosition();
       if (position == 0 || position == currentImage)
         drawRoi(g, roi, drawLabels ? i + LIST_OFFSET : -1);
     }
   }
   ((Graphics2D) g).setStroke(Roi.onePixelWide);
   drawNames = false;
 }
예제 #9
0
 boolean roiManagerSelect(int x, int y) {
   RoiManager rm = RoiManager.getInstance();
   if (rm == null) return false;
   Hashtable rois = rm.getROIs();
   java.awt.List list = rm.getList();
   int n = list.getItemCount();
   if (labelRects == null || labelRects.length != n) return false;
   boolean stackMode = imp != null && imp.getStackSize() > 1 && Prefs.showAllSliceOnly;
   for (int i = 0; i < n; i++) {
     if (labelRects[i] != null && labelRects[i].contains(x, y)) {
       if (stackMode) {
         int slice = getSliceNumber(list.getItem(i));
         if (slice != imp.getCurrentSlice()) continue;
       }
       // rm.select(i);
       // this needs to run on a separate thread, at least on OS X
       // "update2" does not clone the ROI so the "Show All"
       // outline moves as the user moves the RO.
       new ij.macro.MacroRunner("roiManager('select', " + i + "); roiManager('update2');");
       return true;
     }
   }
   return false;
 }
예제 #10
0
파일: Info.java 프로젝트: boron1111/ij
  String getInfo(ImagePlus imp, ImageProcessor ip) {
    String s = new String("\n");
    s += "Title: " + imp.getTitle() + "\n";
    Calibration cal = imp.getCalibration();
    int stackSize = imp.getStackSize();
    int channels = imp.getNChannels();
    int slices = imp.getNSlices();
    int frames = imp.getNFrames();
    int digits = imp.getBitDepth() == 32 ? 4 : 0;
    if (cal.scaled()) {
      String unit = cal.getUnit();
      String units = cal.getUnits();
      s +=
          "Width:  "
              + IJ.d2s(imp.getWidth() * cal.pixelWidth, 2)
              + " "
              + units
              + " ("
              + imp.getWidth()
              + ")\n";
      s +=
          "Height:  "
              + IJ.d2s(imp.getHeight() * cal.pixelHeight, 2)
              + " "
              + units
              + " ("
              + imp.getHeight()
              + ")\n";
      if (slices > 1)
        s += "Depth:  " + IJ.d2s(slices * cal.pixelDepth, 2) + " " + units + " (" + slices + ")\n";
      double xResolution = 1.0 / cal.pixelWidth;
      double yResolution = 1.0 / cal.pixelHeight;
      int places = Tools.getDecimalPlaces(xResolution, yResolution);
      if (xResolution == yResolution)
        s += "Resolution:  " + IJ.d2s(xResolution, places) + " pixels per " + unit + "\n";
      else {
        s += "X Resolution:  " + IJ.d2s(xResolution, places) + " pixels per " + unit + "\n";
        s += "Y Resolution:  " + IJ.d2s(yResolution, places) + " pixels per " + unit + "\n";
      }
    } else {
      s += "Width:  " + imp.getWidth() + " pixels\n";
      s += "Height:  " + imp.getHeight() + " pixels\n";
      if (stackSize > 1) s += "Depth:  " + slices + " pixels\n";
    }
    if (stackSize > 1)
      s +=
          "Voxel size: "
              + d2s(cal.pixelWidth)
              + "x"
              + d2s(cal.pixelHeight)
              + "x"
              + d2s(cal.pixelDepth)
              + " "
              + cal.getUnit()
              + "\n";
    else
      s +=
          "Pixel size: "
              + d2s(cal.pixelWidth)
              + "x"
              + d2s(cal.pixelHeight)
              + " "
              + cal.getUnit()
              + "\n";

    s += "ID: " + imp.getID() + "\n";
    String zOrigin = stackSize > 1 || cal.zOrigin != 0.0 ? "," + d2s(cal.zOrigin) : "";
    s += "Coordinate origin:  " + d2s(cal.xOrigin) + "," + d2s(cal.yOrigin) + zOrigin + "\n";
    int type = imp.getType();
    switch (type) {
      case ImagePlus.GRAY8:
        s += "Bits per pixel: 8 ";
        String lut = "LUT";
        if (imp.getProcessor().isColorLut()) lut = "color " + lut;
        else lut = "grayscale " + lut;
        if (imp.isInvertedLut()) lut = "inverting " + lut;
        s += "(" + lut + ")\n";
        if (imp.getNChannels() > 1) s += displayRanges(imp);
        else s += "Display range: " + (int) ip.getMin() + "-" + (int) ip.getMax() + "\n";
        break;
      case ImagePlus.GRAY16:
      case ImagePlus.GRAY32:
        if (type == ImagePlus.GRAY16) {
          String sign = cal.isSigned16Bit() ? "signed" : "unsigned";
          s += "Bits per pixel: 16 (" + sign + ")\n";
        } else s += "Bits per pixel: 32 (float)\n";
        if (imp.getNChannels() > 1) s += displayRanges(imp);
        else {
          s += "Display range: ";
          double min = ip.getMin();
          double max = ip.getMax();
          if (cal.calibrated()) {
            min = cal.getCValue((int) min);
            max = cal.getCValue((int) max);
          }
          s += IJ.d2s(min, digits) + " - " + IJ.d2s(max, digits) + "\n";
        }
        break;
      case ImagePlus.COLOR_256:
        s += "Bits per pixel: 8 (color LUT)\n";
        break;
      case ImagePlus.COLOR_RGB:
        s += "Bits per pixel: 32 (RGB)\n";
        break;
    }
    double interval = cal.frameInterval;
    double fps = cal.fps;
    if (stackSize > 1) {
      ImageStack stack = imp.getStack();
      int slice = imp.getCurrentSlice();
      String number = slice + "/" + stackSize;
      String label = stack.getShortSliceLabel(slice);
      if (label != null && label.length() > 0) label = " (" + label + ")";
      else label = "";
      if (interval > 0.0 || fps != 0.0) {
        s += "Frame: " + number + label + "\n";
        if (fps != 0.0) {
          String sRate =
              Math.abs(fps - Math.round(fps)) < 0.00001 ? IJ.d2s(fps, 0) : IJ.d2s(fps, 5);
          s += "Frame rate: " + sRate + " fps\n";
        }
        if (interval != 0.0)
          s +=
              "Frame interval: "
                  + ((int) interval == interval ? IJ.d2s(interval, 0) : IJ.d2s(interval, 5))
                  + " "
                  + cal.getTimeUnit()
                  + "\n";
      } else s += "Image: " + number + label + "\n";
      if (imp.isHyperStack()) {
        if (channels > 1) s += "  Channel: " + imp.getChannel() + "/" + channels + "\n";
        if (slices > 1) s += "  Slice: " + imp.getSlice() + "/" + slices + "\n";
        if (frames > 1) s += "  Frame: " + imp.getFrame() + "/" + frames + "\n";
      }
      if (imp.isComposite()) {
        if (!imp.isHyperStack() && channels > 1) s += "  Channels: " + channels + "\n";
        String mode = ((CompositeImage) imp).getModeAsString();
        s += "  Composite mode: \"" + mode + "\"\n";
      }
    }

    if (ip.getMinThreshold() == ImageProcessor.NO_THRESHOLD) s += "No Threshold\n";
    else {
      double lower = ip.getMinThreshold();
      double upper = ip.getMaxThreshold();
      int dp = digits;
      if (cal.calibrated()) {
        lower = cal.getCValue((int) lower);
        upper = cal.getCValue((int) upper);
        dp = cal.isSigned16Bit() ? 0 : 4;
      }
      s += "Threshold: " + IJ.d2s(lower, dp) + "-" + IJ.d2s(upper, dp) + "\n";
    }
    ImageCanvas ic = imp.getCanvas();
    double mag = ic != null ? ic.getMagnification() : 1.0;
    if (mag != 1.0) s += "Magnification: " + IJ.d2s(mag, 2) + "\n";

    if (cal.calibrated()) {
      s += " \n";
      int curveFit = cal.getFunction();
      s += "Calibration Function: ";
      if (curveFit == Calibration.UNCALIBRATED_OD) s += "Uncalibrated OD\n";
      else if (curveFit == Calibration.CUSTOM) s += "Custom lookup table\n";
      else s += CurveFitter.fList[curveFit] + "\n";
      double[] c = cal.getCoefficients();
      if (c != null) {
        s += "  a: " + IJ.d2s(c[0], 6) + "\n";
        s += "  b: " + IJ.d2s(c[1], 6) + "\n";
        if (c.length >= 3) s += "  c: " + IJ.d2s(c[2], 6) + "\n";
        if (c.length >= 4) s += "  c: " + IJ.d2s(c[3], 6) + "\n";
        if (c.length >= 5) s += "  c: " + IJ.d2s(c[4], 6) + "\n";
      }
      s += "  Unit: \"" + cal.getValueUnit() + "\"\n";
    } else s += "Uncalibrated\n";

    FileInfo fi = imp.getOriginalFileInfo();
    if (fi != null) {
      if (fi.url != null && !fi.url.equals("")) s += "URL: " + fi.url + "\n";
      else if (fi.directory != null && fi.fileName != null)
        s += "Path: " + fi.directory + fi.fileName + "\n";
    }

    ImageWindow win = imp.getWindow();
    if (win != null) {
      Point loc = win.getLocation();
      Dimension screen = IJ.getScreenSize();
      s +=
          "Screen location: "
              + loc.x
              + ","
              + loc.y
              + " ("
              + screen.width
              + "x"
              + screen.height
              + ")\n";
    }

    Overlay overlay = imp.getOverlay();
    if (overlay != null) {
      String hidden = imp.getHideOverlay() ? " (hidden)" : " ";
      int n = overlay.size();
      String elements = n == 1 ? " element" : " elements";
      s += "Overlay: " + n + elements + (imp.getHideOverlay() ? " (hidden)" : "") + "\n";
    } else s += "No Overlay\n";

    Roi roi = imp.getRoi();
    if (roi == null) {
      if (cal.calibrated()) s += " \n";
      s += "No Selection\n";
    } else if (roi instanceof EllipseRoi) {
      s += "\nElliptical Selection\n";
      double[] p = ((EllipseRoi) roi).getParams();
      double dx = p[2] - p[0];
      double dy = p[3] - p[1];
      double major = Math.sqrt(dx * dx + dy * dy);
      s += "  Major: " + IJ.d2s(major, 2) + "\n";
      s += "  Minor: " + IJ.d2s(major * p[4], 2) + "\n";
      s += "  X1: " + IJ.d2s(p[0], 2) + "\n";
      s += "  Y1: " + IJ.d2s(p[1], 2) + "\n";
      s += "  X2: " + IJ.d2s(p[2], 2) + "\n";
      s += "  Y2: " + IJ.d2s(p[3], 2) + "\n";
      s += "  Aspect ratio: " + IJ.d2s(p[4], 2) + "\n";
    } else {
      s += " \n";
      s += roi.getTypeAsString() + " Selection";
      String points = null;
      if (roi instanceof PointRoi) {
        int npoints = ((PolygonRoi) roi).getNCoordinates();
        String suffix = npoints > 1 ? "s)" : ")";
        points = " (" + npoints + " point" + suffix;
      }
      String name = roi.getName();
      if (name != null) {
        s += " (\"" + name + "\")";
        if (points != null) s += "\n " + points;
      } else if (points != null) s += points;
      s += "\n";
      Rectangle r = roi.getBounds();
      if (roi instanceof Line) {
        Line line = (Line) roi;
        s += "  X1: " + IJ.d2s(line.x1d * cal.pixelWidth) + "\n";
        s += "  Y1: " + IJ.d2s(yy(line.y1d, imp) * cal.pixelHeight) + "\n";
        s += "  X2: " + IJ.d2s(line.x2d * cal.pixelWidth) + "\n";
        s += "  Y2: " + IJ.d2s(yy(line.y2d, imp) * cal.pixelHeight) + "\n";
      } else if (cal.scaled()) {
        s += "  X: " + IJ.d2s(cal.getX(r.x)) + " (" + r.x + ")\n";
        s += "  Y: " + IJ.d2s(cal.getY(r.y, imp.getHeight())) + " (" + r.y + ")\n";
        s += "  Width: " + IJ.d2s(r.width * cal.pixelWidth) + " (" + r.width + ")\n";
        s += "  Height: " + IJ.d2s(r.height * cal.pixelHeight) + " (" + r.height + ")\n";
      } else {
        s += "  X: " + r.x + "\n";
        s += "  Y: " + yy(r.y, imp) + "\n";
        s += "  Width: " + r.width + "\n";
        s += "  Height: " + r.height + "\n";
      }
    }

    return s;
  }
예제 #11
0
	public void run(String arg) {

  int[] wList = WindowManager.getIDList();
        if (wList==null) {
            IJ.error("No images are open.");
            return;
        }
	double kernel=3;
	double kernelsum = 0;
	double kernelvarsum =0;
	double kernalvar = 0;
	double sigmawidth = 2;
	int kernelindex, minpixnumber;
	String[] kernelsize =  { "3�,"5�, "7�, "9�};

	GenericDialog gd = new GenericDialog("Sigma Filter");
	gd.addChoice("Kernel size", kernelsize, kernelsize[0]);
	gd.addNumericField("Sigma width",sigmawidth , 2);
	gd.addNumericField("Minimum number of pixels", 1, 0);

	gd.addCheckbox("Keep source:",true);
	gd.addCheckbox("Do all stack:",true);
	gd.addCheckbox("Modified Lee's FIlter:",true);
	       	
	gd.showDialog();
       	if (gd.wasCanceled()) return ;
	kernelindex =  gd.getNextChoiceIndex();
          	sigmawidth = gd.getNextNumber();
          	minpixnumber = ((int)gd.getNextNumber());
          	boolean keep = gd.getNextBoolean();
	boolean doallstack = gd.getNextBoolean();
	boolean modified = gd.getNextBoolean();
	if (kernelindex==0) kernel = 3;
	if (kernelindex==1) kernel = 5;
	if (kernelindex==2) kernel = 7;
	if (kernelindex==3) kernel = 9;
    	long start = System.currentTimeMillis();
	
if (minpixnumber> (kernel*kernel)){
	      IJ.showMessage("Sigma filter", "There must be more pixels in the kernel than+\n" + "the minimum number to be included");
            return;
        }
	double v, midintensity;
	int   x, y, ix, iy;
	double sum = 0;
	double backupsum =0;
	int count = 0;
	int n = 0;
	if (keep) {IJ.run("Select All"); IJ.run("Duplicate...", "title='Sigma filtered' duplicate");}

	int radius = (int)(kernel-1)/2;
	ImagePlus imp = WindowManager.getCurrentImage();
	ImageStack stack1 = imp.getStack();
	int width = imp.getWidth();
	int height = imp.getHeight();
	int nslices = stack1.getSize();
	int cslice = imp.getCurrentSlice();
	double status = width*height*nslices;
	
	ImageProcessor  ip = imp.getProcessor();
	int sstart = 1;
	if (!doallstack) {sstart = cslice; nslices=sstart;status = status/nslices;};

 for (int i=sstart; i<=nslices; i++) {
                imp.setSlice(i);
                    
for (x=radius;x<width+radius;x++)	{
		for (y=radius;y<height+radius;y++)	{
			
			midintensity = ip.getPixelValue(x,y);
			count = 0;
			sum = 0;
			kernelsum =0;
			kernalvar =0;
			kernelvarsum =0;
			backupsum = 0;

		//calculate mean of kernel value
			for (ix=0;ix<kernel;ix++)	{
					for (iy=0;iy<kernel;iy++)	{
							v = ip.getPixelValue(x+ix-radius,y+iy-radius);
							kernelsum = kernelsum+v;
								}
						}
			double sigmacalcmean = (kernelsum/(kernel*kernel));

		//calculate variance of kernel
			for (ix=0;ix<kernel;ix++)	{
					for (iy=0;iy<kernel;iy++)	{
							v = ip.getPixelValue(x+ix-radius,y+iy-radius);
							kernalvar = (v-sigmacalcmean)*(v-sigmacalcmean);
							kernelvarsum = kernelvarsum + kernalvar;
								}
						}
			//double variance = kernelvarsum/kernel;
			double sigmacalcvar = kernelvarsum/((kernel*kernel)-1);

			//calcuate sigma range = sqrt(variance/(mean^2)) � sigmawidth
			double sigmarange  = sigmawidth*(Math.sqrt((sigmacalcvar) /(sigmacalcmean*sigmacalcmean)));
			//calulate sigma top value and bottom value
			double sigmatop = midintensity*(1+sigmarange);
			double sigmabottom = midintensity*(1-sigmarange);
			//calculate mean of values that differ are in sigma range.
			for (ix=0;ix<kernel;ix++)	{
					for (iy=0;iy<kernel;iy++)	{
							v = ip.getPixelValue(x+ix-radius,y+iy-radius);
							if ((v>=sigmabottom)&&(v<=sigmatop)){
								sum = sum+v;
								count = count+1;   }
								backupsum = v+ backupsum;
										}		
						}
//if there are too few pixels in the kernal that are within sigma range, the 
//mean of the entire kernal is taken. My modification of Lee's filter is to exclude the central value 
//from the calculation of the mean as I assume it to be spuriously high or low 
			if (!(count>(minpixnumber)))
				{sum = (backupsum-midintensity);
				count = (int)((kernel*kernel)-1);
				if (!modified)
					{sum = (backupsum);
					count  = (int)(kernel*kernel);}
				}
			
			double val =  (sum/count);
			ip.putPixelValue(x,y, val);
			n = n+1;
	double percentage = (((double)n/status)*100);
			 IJ.showStatus(IJ.d2s(percentage,0) +"% done");		
			
}

	//		IJ.showProgress(i, status);
					}}
			imp.updateAndDraw();
 			IJ.showStatus(IJ.d2s((System.currentTimeMillis()-start)/1000.0, 2)+" seconds");        }      
  /**
   * Performs particle analysis on the specified ImagePlus and ImageProcessor. Returns false if
   * there is an error.
   */
  public boolean analyze(ImagePlus imp, ImageProcessor ip) {
    if (this.imp == null) this.imp = imp;
    showResults = (options & SHOW_RESULTS) != 0;
    excludeEdgeParticles = (options & EXCLUDE_EDGE_PARTICLES) != 0;
    resetCounter = (options & CLEAR_WORKSHEET) != 0;
    showProgress = (options & SHOW_PROGRESS) != 0;
    floodFill = (options & INCLUDE_HOLES) == 0;
    recordStarts = (options & RECORD_STARTS) != 0;
    addToManager = (options & ADD_TO_MANAGER) != 0;
    displaySummary = (options & DISPLAY_SUMMARY) != 0;
    inSituShow = (options & IN_SITU_SHOW) != 0;
    outputImage = null;
    ip.snapshot();
    ip.setProgressBar(null);
    if (Analyzer.isRedirectImage()) {
      redirectImp = Analyzer.getRedirectImage(imp);
      if (redirectImp == null) return false;
      int depth = redirectImp.getStackSize();
      if (depth > 1 && depth == imp.getStackSize()) {
        ImageStack redirectStack = redirectImp.getStack();
        redirectIP = redirectStack.getProcessor(imp.getCurrentSlice());
      } else redirectIP = redirectImp.getProcessor();
    } else if (imp.getType() == ImagePlus.COLOR_RGB) {
      ImagePlus original = (ImagePlus) imp.getProperty("OriginalImage");
      if (original != null
          && original.getWidth() == imp.getWidth()
          && original.getHeight() == imp.getHeight()) {
        redirectImp = original;
        redirectIP = original.getProcessor();
      }
    }
    if (!setThresholdLevels(imp, ip)) return false;
    width = ip.getWidth();
    height = ip.getHeight();
    if (!(showChoice == NOTHING || showChoice == OVERLAY_OUTLINES || showChoice == OVERLAY_MASKS)) {
      blackBackground = Prefs.blackBackground && inSituShow;
      if (slice == 1) outlines = new ImageStack(width, height);
      if (showChoice == ROI_MASKS) drawIP = new ShortProcessor(width, height);
      else drawIP = new ByteProcessor(width, height);
      drawIP.setLineWidth(lineWidth);
      if (showChoice == ROI_MASKS) {
      } // Place holder for now...
      else if (showChoice == MASKS && !blackBackground) drawIP.invertLut();
      else if (showChoice == OUTLINES) {
        if (!inSituShow) {
          if (customLut == null) makeCustomLut();
          drawIP.setColorModel(customLut);
        }
        drawIP.setFont(new Font("SansSerif", Font.PLAIN, fontSize));
        if (fontSize > 12 && inSituShow) drawIP.setAntialiasedText(true);
      }
      outlines.addSlice(null, drawIP);

      if (showChoice == ROI_MASKS || blackBackground) {
        drawIP.setColor(Color.black);
        drawIP.fill();
        drawIP.setColor(Color.white);
      } else {
        drawIP.setColor(Color.white);
        drawIP.fill();
        drawIP.setColor(Color.black);
      }
    }
    calibration = redirectImp != null ? redirectImp.getCalibration() : imp.getCalibration();

    if (rt == null) {
      rt = Analyzer.getResultsTable();
      analyzer = new Analyzer(imp);
    } else analyzer = new Analyzer(imp, measurements, rt);
    if (resetCounter && slice == 1) {
      if (!Analyzer.resetCounter()) return false;
    }
    beginningCount = Analyzer.getCounter();

    byte[] pixels = null;
    if (ip instanceof ByteProcessor) pixels = (byte[]) ip.getPixels();
    if (r == null) {
      r = ip.getRoi();
      mask = ip.getMask();
      if (displaySummary) {
        if (mask != null) totalArea = ImageStatistics.getStatistics(ip, AREA, calibration).area;
        else totalArea = r.width * calibration.pixelWidth * r.height * calibration.pixelHeight;
      }
    }
    minX = r.x;
    maxX = r.x + r.width;
    minY = r.y;
    maxY = r.y + r.height;
    if (r.width < width || r.height < height || mask != null) {
      if (!eraseOutsideRoi(ip, r, mask)) return false;
    }
    int offset;
    double value;
    int inc = Math.max(r.height / 25, 1);
    int mi = 0;
    ImageWindow win = imp.getWindow();
    if (win != null) win.running = true;
    if (measurements == 0) measurements = Analyzer.getMeasurements();
    if (showChoice == ELLIPSES) measurements |= ELLIPSE;
    measurements &= ~LIMIT; // ignore "Limit to Threshold"
    roiNeedsImage =
        (measurements & PERIMETER) != 0
            || (measurements & SHAPE_DESCRIPTORS) != 0
            || (measurements & FERET) != 0;
    particleCount = 0;
    wand = new Wand(ip);
    pf = new PolygonFiller();
    if (floodFill) {
      ImageProcessor ipf = ip.duplicate();
      ipf.setValue(fillColor);
      ff = new FloodFiller(ipf);
    }
    roiType = Wand.allPoints() ? Roi.FREEROI : Roi.TRACED_ROI;

    for (int y = r.y; y < (r.y + r.height); y++) {
      offset = y * width;
      for (int x = r.x; x < (r.x + r.width); x++) {
        if (pixels != null) value = pixels[offset + x] & 255;
        else if (imageType == SHORT) value = ip.getPixel(x, y);
        else value = ip.getPixelValue(x, y);
        if (value >= level1 && value <= level2) analyzeParticle(x, y, imp, ip);
      }
      if (showProgress && ((y % inc) == 0)) IJ.showProgress((double) (y - r.y) / r.height);
      if (win != null) canceled = !win.running;
      if (canceled) {
        Macro.abort();
        break;
      }
    }
    if (showProgress) IJ.showProgress(1.0);
    if (showResults) rt.updateResults();
    imp.killRoi();
    ip.resetRoi();
    ip.reset();
    if (displaySummary && IJ.getInstance() != null) updateSliceSummary();
    if (addToManager && roiManager != null) roiManager.setEditMode(imp, true);
    maxParticleCount = (particleCount > maxParticleCount) ? particleCount : maxParticleCount;
    totalCount += particleCount;
    if (!canceled) showResults();
    return true;
  }
예제 #13
0
    ImageProcessor setup(ImagePlus imp) {

      ImageProcessor ip;
      int type = imp.getType();
      if (type != ImagePlus.COLOR_RGB) return null;
      ip = imp.getProcessor();
      int id = imp.getID();
      int slice = imp.getCurrentSlice();

      if ((id != previousImageID) | (slice != previousSlice) | (flag)) {
        flag = false; // if true, flags a change from HSB to RGB or viceversa
        numSlices = imp.getStackSize();
        stack = imp.getStack();
        width = stack.getWidth();
        height = stack.getHeight();
        numPixels = width * height;

        hSource = new byte[numPixels];
        sSource = new byte[numPixels];
        bSource = new byte[numPixels];

        // restore = (int[])ip.getPixelsCopy(); //This runs into trouble sometimes, so do it the
        // long way:
        int[] temp = (int[]) ip.getPixels();
        restore = new int[numPixels];
        for (int i = 0; i < numPixels; i++) restore[i] = temp[i];

        fillMask = new int[numPixels];

        // Get hsb or rgb from image.
        ColorProcessor cp = (ColorProcessor) ip;
        IJ.showStatus("Gathering data");

        if (isRGB) cp.getRGB(hSource, sSource, bSource);
        else cp.getHSB(hSource, sSource, bSource);

        IJ.showStatus("done");

        // Create a spectrum ColorModel for the Hue histogram plot.
        Color c;
        byte[] reds = new byte[256];
        byte[] greens = new byte[256];
        byte[] blues = new byte[256];
        for (int i = 0; i < 256; i++) {
          c = Color.getHSBColor(i / 255f, 1f, 1f);

          reds[i] = (byte) c.getRed();
          greens[i] = (byte) c.getGreen();
          blues[i] = (byte) c.getBlue();
        }
        ColorModel cm = new IndexColorModel(8, 256, reds, greens, blues);

        // Make an image with just the hue from the RGB image and the spectrum LUT.
        // This is just for a hue histogram for the plot.  Do not show it.
        // ByteProcessor bpHue = new ByteProcessor(width,height,h,cm);
        ByteProcessor bpHue = new ByteProcessor(width, height, hSource, cm);
        ImagePlus impHue = new ImagePlus("Hue", bpHue);
        // impHue.show();

        ByteProcessor bpSat = new ByteProcessor(width, height, sSource, cm);
        ImagePlus impSat = new ImagePlus("Sat", bpSat);
        // impSat.show();

        ByteProcessor bpBri = new ByteProcessor(width, height, bSource, cm);
        ImagePlus impBri = new ImagePlus("Bri", bpBri);
        // impBri.show();

        plot.setHistogram(impHue, 0);
        splot.setHistogram(impSat, 1);
        bplot.setHistogram(impBri, 2);

        updateLabels();
        updatePlot();
        updateScrollBars();
        imp.updateAndDraw();
      }
      previousImageID = id;
      previousSlice = slice;
      return ip;
    }