コード例 #1
0
 void showResults() {
   int count = rt.getCounter();
   // if (count==0) return;
   boolean lastSlice = !processStack || slice == imp.getStackSize();
   if ((showChoice == OVERLAY_OUTLINES || showChoice == OVERLAY_MASKS) && slice == 1 && count > 0)
     imp.setOverlay(overlay);
   else if (outlines != null && lastSlice) {
     String title = imp != null ? imp.getTitle() : "Outlines";
     String prefix;
     if (showChoice == MASKS) prefix = "Mask of ";
     else if (showChoice == ROI_MASKS) prefix = "Count Masks of ";
     else prefix = "Drawing of ";
     outlines.update(drawIP);
     outputImage = new ImagePlus(prefix + title, outlines);
     if (inSituShow) {
       if (imp.getStackSize() == 1) Undo.setup(Undo.TRANSFORM, imp);
       imp.setStack(null, outputImage.getStack());
     } else if (!hideOutputImage) outputImage.show();
   }
   if (showResults && !processStack) {
     TextPanel tp = IJ.getTextPanel();
     if (beginningCount > 0 && tp != null && tp.getLineCount() != count) rt.show("Results");
     Analyzer.firstParticle = beginningCount;
     Analyzer.lastParticle = Analyzer.getCounter() - 1;
   } else Analyzer.firstParticle = Analyzer.lastParticle = 0;
 }
コード例 #2
0
ファイル: Selection.java プロジェクト: dscho/ImageJA
 void createMask(ImagePlus imp) {
   Roi roi = imp.getRoi();
   boolean useInvertingLut = Prefs.useInvertingLut;
   Prefs.useInvertingLut = false;
   if (roi == null || !(roi.isArea() || roi.getType() == Roi.POINT)) {
     createMaskFromThreshold(imp);
     Prefs.useInvertingLut = useInvertingLut;
     return;
   }
   ImagePlus maskImp = null;
   Frame frame = WindowManager.getFrame("Mask");
   if (frame != null && (frame instanceof ImageWindow))
     maskImp = ((ImageWindow) frame).getImagePlus();
   if (maskImp == null) {
     ImageProcessor ip = new ByteProcessor(imp.getWidth(), imp.getHeight());
     if (!Prefs.blackBackground) ip.invertLut();
     maskImp = new ImagePlus("Mask", ip);
     maskImp.show();
   }
   ImageProcessor ip = maskImp.getProcessor();
   ip.setRoi(roi);
   ip.setValue(255);
   ip.fill(ip.getMask());
   maskImp.updateAndDraw();
   Prefs.useInvertingLut = useInvertingLut;
 }
コード例 #3
0
ファイル: Scaler.java プロジェクト: TaihaoJin/ImgSigJ
 void scale(ImageProcessor ip) {
   if (newWindow) {
     Rectangle r = ip.getRoi();
     ImagePlus imp2 = imp.createImagePlus();
     imp2.setProcessor(title, ip.resize(newWidth, newHeight));
     Calibration cal = imp2.getCalibration();
     if (cal.scaled()) {
       cal.pixelWidth *= 1.0 / xscale;
       cal.pixelHeight *= 1.0 / yscale;
     }
     imp2.show();
     imp.trimProcessor();
     imp2.trimProcessor();
     imp2.changes = true;
   } else {
     if (processStack && imp.getStackSize() > 1) {
       Undo.reset();
       StackProcessor sp = new StackProcessor(imp.getStack(), ip);
       sp.scale(xscale, yscale, bgValue);
     } else {
       ip.snapshot();
       Undo.setup(Undo.FILTER, imp);
       ip.setSnapshotCopyMode(true);
       ip.scale(xscale, yscale);
       ip.setSnapshotCopyMode(false);
     }
     imp.killRoi();
     imp.updateAndDraw();
     imp.changes = true;
   }
 }
コード例 #4
0
ファイル: FileOpener.java プロジェクト: earrouvi/PAPPL
 /** Opens a stack of images. */
 ImagePlus openStack(ColorModel cm, boolean show) {
   ImageStack stack = new ImageStack(fi.width, fi.height, cm);
   long skip = fi.getOffset();
   Object pixels;
   try {
     ImageReader reader = new ImageReader(fi);
     InputStream is = createInputStream(fi);
     if (is == null) return null;
     IJ.resetEscape();
     for (int i = 1; i <= fi.nImages; i++) {
       if (!silentMode) IJ.showStatus("Reading: " + i + "/" + fi.nImages);
       if (IJ.escapePressed()) {
         IJ.beep();
         IJ.showProgress(1.0);
         silentMode = false;
         return null;
       }
       pixels = reader.readPixels(is, skip);
       if (pixels == null) break;
       stack.addSlice(null, pixels);
       skip = fi.gapBetweenImages;
       if (!silentMode) IJ.showProgress(i, fi.nImages);
     }
     is.close();
   } catch (Exception e) {
     IJ.log("" + e);
   } catch (OutOfMemoryError e) {
     IJ.outOfMemory(fi.fileName);
     stack.trim();
   }
   if (!silentMode) IJ.showProgress(1.0);
   if (stack.getSize() == 0) return null;
   if (fi.sliceLabels != null && fi.sliceLabels.length <= stack.getSize()) {
     for (int i = 0; i < fi.sliceLabels.length; i++) stack.setSliceLabel(fi.sliceLabels[i], i + 1);
   }
   ImagePlus imp = new ImagePlus(fi.fileName, stack);
   if (fi.info != null) imp.setProperty("Info", fi.info);
   if (show) imp.show();
   imp.setFileInfo(fi);
   setCalibration(imp);
   ImageProcessor ip = imp.getProcessor();
   if (ip.getMin() == ip.getMax()) // find stack min and max if first slice is blank
   setStackDisplayRange(imp);
   if (!silentMode) IJ.showProgress(1.0);
   silentMode = false;
   return imp;
 }
コード例 #5
0
ファイル: Scaler.java プロジェクト: BinRoot/Photometer
 void createNewStack(ImagePlus imp, ImageProcessor ip) {
   int nSlices = imp.getStackSize();
   int w = imp.getWidth(), h = imp.getHeight();
   ImagePlus imp2 = imp.createImagePlus();
   Rectangle r = ip.getRoi();
   boolean crop = r.width != imp.getWidth() || r.height != imp.getHeight();
   ImageStack stack1 = imp.getStack();
   ImageStack stack2 = new ImageStack(newWidth, newHeight);
   ImageProcessor ip1, ip2;
   int method = interpolationMethod;
   if (w == 1 || h == 1) method = ImageProcessor.NONE;
   for (int i = 1; i <= nSlices; i++) {
     IJ.showStatus("Scale: " + i + "/" + nSlices);
     ip1 = stack1.getProcessor(i);
     String label = stack1.getSliceLabel(i);
     if (crop) {
       ip1.setRoi(r);
       ip1 = ip1.crop();
     }
     ip1.setInterpolationMethod(method);
     ip2 = ip1.resize(newWidth, newHeight, averageWhenDownsizing);
     if (ip2 != null) stack2.addSlice(label, ip2);
     IJ.showProgress(i, nSlices);
   }
   imp2.setStack(title, stack2);
   Calibration cal = imp2.getCalibration();
   if (cal.scaled()) {
     cal.pixelWidth *= 1.0 / xscale;
     cal.pixelHeight *= 1.0 / yscale;
   }
   IJ.showProgress(1.0);
   int[] dim = imp.getDimensions();
   imp2.setDimensions(dim[2], dim[3], dim[4]);
   if (imp.isComposite()) {
     imp2 = new CompositeImage(imp2, ((CompositeImage) imp).getMode());
     ((CompositeImage) imp2).copyLuts(imp);
   }
   if (imp.isHyperStack()) imp2.setOpenAsHyperStack(true);
   if (newDepth > 0 && newDepth != oldDepth)
     imp2 = (new Resizer()).zScale(imp2, newDepth, interpolationMethod);
   if (imp2 != null) {
     imp2.show();
     imp2.changes = true;
   }
 }
コード例 #6
0
ファイル: Scaler.java プロジェクト: TaihaoJin/ImgSigJ
 void createNewStack(ImagePlus imp, ImageProcessor ip) {
   Rectangle r = ip.getRoi();
   boolean crop = r.width != imp.getWidth() || r.height != imp.getHeight();
   int nSlices = imp.getStackSize();
   ImageStack stack1 = imp.getStack();
   ImageStack stack2 = new ImageStack(newWidth, newHeight);
   ImageProcessor ip1, ip2;
   boolean interp = interpolate;
   if (imp.getWidth() == 1 || imp.getHeight() == 1) interp = false;
   for (int i = 1; i <= nSlices; i++) {
     IJ.showStatus("Scale: " + i + "/" + nSlices);
     ip1 = stack1.getProcessor(i);
     String label = stack1.getSliceLabel(i);
     if (crop) {
       ip1.setRoi(r);
       ip1 = ip1.crop();
     }
     ip1.setInterpolate(interp);
     ip2 = ip1.resize(newWidth, newHeight);
     if (ip2 != null) stack2.addSlice(label, ip2);
     IJ.showProgress(i, nSlices);
   }
   ImagePlus imp2 = imp.createImagePlus();
   imp2.setStack(title, stack2);
   Calibration cal = imp2.getCalibration();
   if (cal.scaled()) {
     cal.pixelWidth *= 1.0 / xscale;
     cal.pixelHeight *= 1.0 / yscale;
   }
   int[] dim = imp.getDimensions();
   imp2.setDimensions(dim[2], dim[3], dim[4]);
   IJ.showProgress(1.0);
   if (imp.isComposite()) {
     imp2 = new CompositeImage(imp2, 0);
     ((CompositeImage) imp2).copyLuts(imp);
   }
   if (imp.isHyperStack()) imp2.setOpenAsHyperStack(true);
   imp2.show();
   imp2.changes = true;
 }
コード例 #7
0
ファイル: Selection.java プロジェクト: dannyZhou/imagej
 void createMask(ImagePlus imp) {
   Roi roi = imp.getRoi();
   boolean useInvertingLut = Prefs.useInvertingLut;
   Prefs.useInvertingLut = false;
   boolean selectAll =
       roi != null
           && roi.getType() == Roi.RECTANGLE
           && roi.getBounds().width == imp.getWidth()
           && roi.getBounds().height == imp.getHeight()
           && imp.isThreshold();
   if (roi == null || !(roi.isArea() || roi.getType() == Roi.POINT) || selectAll) {
     createMaskFromThreshold(imp);
     Prefs.useInvertingLut = useInvertingLut;
     return;
   }
   ImagePlus maskImp = null;
   Frame frame = WindowManager.getFrame("Mask");
   if (frame != null && (frame instanceof ImageWindow))
     maskImp = ((ImageWindow) frame).getImagePlus();
   if (maskImp == null) {
     ImageProcessor ip = new ByteProcessor(imp.getWidth(), imp.getHeight());
     if (!Prefs.blackBackground) ip.invertLut();
     maskImp = new ImagePlus("Mask", ip);
     maskImp.show();
   }
   ImageProcessor ip = maskImp.getProcessor();
   ip.setRoi(roi);
   ip.setValue(255);
   ip.fill(ip.getMask());
   Calibration cal = imp.getCalibration();
   if (cal.scaled()) {
     Calibration cal2 = maskImp.getCalibration();
     cal2.pixelWidth = cal.pixelWidth;
     cal2.pixelHeight = cal.pixelHeight;
     cal2.setUnit(cal.getUnit());
   }
   maskImp.updateAndRepaintWindow();
   Prefs.useInvertingLut = useInvertingLut;
 }
コード例 #8
0
ファイル: FileOpener.java プロジェクト: earrouvi/PAPPL
  /** Opens the image. Displays it if 'show' is true. Returns an ImagePlus object if successful. */
  public ImagePlus open(boolean show) {
    ImagePlus imp = null;
    Object pixels;
    ProgressBar pb = null;
    ImageProcessor ip;

    ColorModel cm = createColorModel(fi);
    if (fi.nImages > 1) {
      return openStack(cm, show);
    }
    switch (fi.fileType) {
      case FileInfo.GRAY8:
      case FileInfo.COLOR8:
      case FileInfo.BITMAP:
        pixels = readPixels(fi);
        if (pixels == null) return null;
        ip = new ByteProcessor(width, height, (byte[]) pixels, cm);
        imp = new ImagePlus(fi.fileName, ip);
        break;
      case FileInfo.GRAY16_SIGNED:
      case FileInfo.GRAY16_UNSIGNED:
      case FileInfo.GRAY12_UNSIGNED:
        pixels = readPixels(fi);
        if (pixels == null) return null;
        ip = new ShortProcessor(width, height, (short[]) pixels, cm);
        imp = new ImagePlus(fi.fileName, ip);
        break;
      case FileInfo.GRAY32_INT:
      case FileInfo.GRAY32_UNSIGNED:
      case FileInfo.GRAY32_FLOAT:
      case FileInfo.GRAY24_UNSIGNED:
      case FileInfo.GRAY64_FLOAT:
        pixels = readPixels(fi);
        if (pixels == null) return null;
        ip = new FloatProcessor(width, height, (float[]) pixels, cm);
        imp = new ImagePlus(fi.fileName, ip);
        break;
      case FileInfo.RGB:
      case FileInfo.BGR:
      case FileInfo.ARGB:
      case FileInfo.ABGR:
      case FileInfo.BARG:
      case FileInfo.RGB_PLANAR:
        pixels = readPixels(fi);
        if (pixels == null) return null;
        ip = new ColorProcessor(width, height, (int[]) pixels);
        imp = new ImagePlus(fi.fileName, ip);
        break;
      case FileInfo.RGB48:
      case FileInfo.RGB48_PLANAR:
        boolean planar = fi.fileType == FileInfo.RGB48_PLANAR;
        Object[] pixelArray = (Object[]) readPixels(fi);
        if (pixelArray == null) return null;
        ImageStack stack = new ImageStack(width, height);
        stack.addSlice("Red", pixelArray[0]);
        stack.addSlice("Green", pixelArray[1]);
        stack.addSlice("Blue", pixelArray[2]);
        imp = new ImagePlus(fi.fileName, stack);
        imp.setDimensions(3, 1, 1);
        if (planar) imp.getProcessor().resetMinAndMax();
        imp.setFileInfo(fi);
        int mode = CompositeImage.COMPOSITE;
        if (fi.description != null) {
          if (fi.description.indexOf("mode=color") != -1) mode = CompositeImage.COLOR;
          else if (fi.description.indexOf("mode=gray") != -1) mode = CompositeImage.GRAYSCALE;
        }
        imp = new CompositeImage(imp, mode);
        if (!planar && fi.displayRanges == null) {
          for (int c = 1; c <= 3; c++) {
            imp.setPosition(c, 1, 1);
            imp.setDisplayRange(minValue, maxValue);
          }
          imp.setPosition(1, 1, 1);
        }
        break;
    }
    imp.setFileInfo(fi);
    setCalibration(imp);
    if (fi.info != null) imp.setProperty("Info", fi.info);
    if (fi.sliceLabels != null && fi.sliceLabels.length == 1 && fi.sliceLabels[0] != null)
      imp.setProperty("Label", fi.sliceLabels[0]);
    if (show) imp.show();
    return imp;
  }
コード例 #9
0
  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;
  }