예제 #1
0
  /**
   * Prepare for processing; also called at the very end with argument 'final' to show any newly
   * created output image.
   */
  public int setup(String arg, ImagePlus imp) {
    if (arg.equals("final")) {
      showOutput();
      return DONE;
    }
    this.imp = imp;
    // 'arg' is processing type; default is 'EDM' (0)
    if (arg.equals("watershed")) {
      processType = WATERSHED;
      flags += KEEP_THRESHOLD;
    } else if (arg.equals("points")) processType = UEP;
    else if (arg.equals("voronoi")) processType = VORONOI;

    // output type
    if (processType != WATERSHED) // Watershed always has output BYTE_OVERWRITE=0
    outImageType = outputType; // otherwise use the static variable from setOutputType
    if (outImageType != BYTE_OVERWRITE) flags |= NO_CHANGES;

    // check image and prepare
    if (imp != null) {
      ImageProcessor ip = imp.getProcessor();
      if (!ip.isBinary()) {
        IJ.error("8-bit binary image (0 and 255) required.");
        return DONE;
      }
      ip.resetRoi();
      // processing routines assume background=0; image may be otherwise
      boolean invertedLut = imp.isInvertedLut();
      background255 =
          (invertedLut && Prefs.blackBackground) || (!invertedLut && !Prefs.blackBackground);
    }
    return flags;
  } // public int setup
 boolean eraseOutsideRoi(ImageProcessor ip, Rectangle r, ImageProcessor mask) {
   int width = ip.getWidth();
   int height = ip.getHeight();
   ip.setRoi(r);
   if (excludeEdgeParticles && polygon != null) {
     ImageStatistics stats = ImageStatistics.getStatistics(ip, MIN_MAX, null);
     if (fillColor >= stats.min && fillColor <= stats.max) {
       double replaceColor = level1 - 1.0;
       if (replaceColor < 0.0 || replaceColor == fillColor) {
         replaceColor = level2 + 1.0;
         int maxColor = imageType == BYTE ? 255 : 65535;
         if (replaceColor > maxColor || replaceColor == fillColor) {
           IJ.error("Particle Analyzer", "Unable to remove edge particles");
           return false;
         }
       }
       for (int y = minY; y < maxY; y++) {
         for (int x = minX; x < maxX; x++) {
           int v = ip.getPixel(x, y);
           if (v == fillColor) ip.putPixel(x, y, (int) replaceColor);
         }
       }
     }
   }
   ip.setValue(fillColor);
   if (mask != null) {
     mask = mask.duplicate();
     mask.invert();
     ip.fill(mask);
   }
   ip.setRoi(0, 0, r.x, height);
   ip.fill();
   ip.setRoi(r.x, 0, r.width, r.y);
   ip.fill();
   ip.setRoi(r.x, r.y + r.height, r.width, height - (r.y + r.height));
   ip.fill();
   ip.setRoi(r.x + r.width, 0, width - (r.x + r.width), height);
   ip.fill();
   ip.resetRoi();
   // IJ.log("erase: "+fillColor+"	"+level1+"	"+level2+"	"+excludeEdgeParticles);
   // (new ImagePlus("ip2", ip.duplicate())).show();
   return true;
 }
예제 #3
0
 ImagePlus duplicateStack(ImagePlus img1) {
   ImageStack stack1 = img1.getStack();
   int width = stack1.getWidth();
   int height = stack1.getHeight();
   int n = stack1.getSize();
   ImageStack stack2 = img1.createEmptyStack();
   try {
     for (int i = 1; i <= n; i++) {
       ImageProcessor ip1 = stack1.getProcessor(i);
       ip1.resetRoi();
       ImageProcessor ip2 = ip1.crop();
       stack2.addSlice(stack1.getSliceLabel(i), ip2);
     }
   } catch (OutOfMemoryError e) {
     stack2.trim();
     stack2 = null;
     return null;
   }
   return new ImagePlus("Duplicate", stack2);
 }
예제 #4
0
파일: Binary.java 프로젝트: kkkkxu/BioImage
 public void run(ImageProcessor ip) {
   int fg = Prefs.blackBackground ? 255 : 0;
   foreground = ip.isInvertedLut() ? 255 - fg : fg;
   background = 255 - foreground;
   ip.setSnapshotCopyMode(true);
   if (arg.equals("outline")) outline(ip);
   else if (arg.startsWith("fill")) fill(ip, foreground, background);
   else if (arg.startsWith("skel")) {
     ip.resetRoi();
     skeletonize(ip);
   } else if (arg.equals("erode") || arg.equals("dilate")) doIterations((ByteProcessor) ip, arg);
   else if (arg.equals("open")) {
     doIterations(ip, "erode");
     doIterations(ip, "dilate");
   } else if (arg.equals("close")) {
     doIterations(ip, "dilate");
     doIterations(ip, "erode");
   }
   ip.setSnapshotCopyMode(false);
   ip.setBinaryThreshold();
 }
예제 #5
0
  /* Method takes roi and substract its mean value from each frame in the image*/
  public static ImagePlus DarkNoiseRemoval(ImagePlus imp_in, Roi noise_roi) {
    ImagePlus imp_out = imp_in.duplicate();
    int size = imp_in.getImageStackSize();
    ImageProcessor ip = imp_out.getProcessor();
    double minThreshold = ip.getMinThreshold();
    double maxThreshold = ip.getMaxThreshold();
    Calibration cal = imp_in.getCalibration();
    int measurements = Analyzer.getMeasurements();
    int current = imp_in.getCurrentSlice();
    ImageStack stack = imp_in.getStack();
    for (int i = 1; i <= size; i++) {
      ip = stack.getProcessor(i);
      if (minThreshold != ImageProcessor.NO_THRESHOLD)
        ip.setThreshold(minThreshold, maxThreshold, ImageProcessor.NO_LUT_UPDATE);
      ip.setRoi(noise_roi);
      ImageStatistics stats = ImageStatistics.getStatistics(ip, measurements, cal);
      ip.resetRoi();
      ip.subtract(stats.mean);
      stack.setProcessor(ip, i);
    }

    imp_out.setStack(stack);
    return imp_out;
  }
  /**
   * 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;
  }