예제 #1
0
  /** Generate output image whose type is same as input image. */
  private ImagePlus makeOutputImage(ImagePlus imp, FloatProcessor fp, int ptype) {
    int width = imp.getWidth();
    int height = imp.getHeight();
    float[] pixels = (float[]) fp.getPixels();
    ImageProcessor oip = null;

    // Create output image consistent w/ type of input image.
    int size = pixels.length;
    switch (ptype) {
      case BYTE_TYPE:
        oip = imp.getProcessor().createProcessor(width, height);
        byte[] pixels8 = (byte[]) oip.getPixels();
        for (int i = 0; i < size; i++) pixels8[i] = (byte) pixels[i];
        break;
      case SHORT_TYPE:
        oip = imp.getProcessor().createProcessor(width, height);
        short[] pixels16 = (short[]) oip.getPixels();
        for (int i = 0; i < size; i++) pixels16[i] = (short) pixels[i];
        break;
      case FLOAT_TYPE:
        oip = new FloatProcessor(width, height, pixels, null);
        break;
    }

    // Adjust for display.
    // Calling this on non-ByteProcessors ensures image
    // processor is set up to correctly display image.
    oip.resetMinAndMax();

    // Create new image plus object. Don't use
    // ImagePlus.createImagePlus here because there may be
    // attributes of input image that are not appropriate for
    // projection.
    return new ImagePlus(makeTitle(), oip);
  }
예제 #2
0
파일: Wand.java 프로젝트: AlexJoz/docuensj
 /** Constructs a Wand object from an ImageProcessor. */
 public Wand(ImageProcessor ip) {
   this.ip = ip;
   if (ip instanceof ByteProcessor) bpixels = (byte[]) ip.getPixels();
   else if (ip instanceof ColorProcessor) cpixels = (int[]) ip.getPixels();
   else if (ip instanceof ShortProcessor) spixels = (short[]) ip.getPixels();
   else if (ip instanceof FloatProcessor) fpixels = (float[]) ip.getPixels();
   width = ip.getWidth();
   height = ip.getHeight();
 }
예제 #3
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 void reset(ImagePlus imp, ImageProcessor ip) {
   // Assign the pixels of ip to the data in the restore array, while
   // taking care to not give the address the restore array to the
   // image processor.
   int[] pixels = (int[]) ip.getPixels();
   for (int i = 0; i < numPixels; i++) pixels[i] = restore[i];
 }
예제 #4
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  /*------------------------------------------------------------------*/
  void putRow(ImageProcessor ip, int y, double[] row) {
    int rowLength = ip.getWidth();

    if (rowLength != row.length) {
      throw new IndexOutOfBoundsException("Incoherent array sizes");
    }
    y *= rowLength;
    if (ip.getPixels() instanceof float[]) {
      float[] floatPixels = (float[]) ip.getPixels();
      for (int i = 0; (i < rowLength); i++) {
        floatPixels[y++] = (float) row[i];
      }
    } else {
      throw new IllegalArgumentException("Float image required");
    }
  } /* end putRow */
예제 #5
0
  /*------------------------------------------------------------------*/
  void putColumn(ImageProcessor ip, int x, double[] column) {
    int width = ip.getWidth();

    if (ip.getHeight() != column.length) {
      throw new IndexOutOfBoundsException("Incoherent array sizes");
    }
    if (ip.getPixels() instanceof float[]) {
      float[] floatPixels = (float[]) ip.getPixels();
      for (int i = 0; (i < column.length); i++) {
        floatPixels[x] = (float) column[i];
        x += width;
      }
    } else {
      throw new IllegalArgumentException("Float image required");
    }
  } /* end putColumn */
예제 #6
0
  /*------------------------------------------------------------------*/
  public void getHorizontalGradient(ImageProcessor ip, double tolerance) {
    if (!(ip.getPixels() instanceof float[])) {
      throw new IllegalArgumentException("Float image required");
    }

    float[] floatPixels = (float[]) ip.getPixels();
    int width = ip.getWidth();
    int height = ip.getHeight();
    double line[] = new double[width];

    for (int y = 0; (y < height); y++) {
      getRow(ip, y, line);
      getSplineInterpolationCoefficients(line, tolerance);
      getGradient(line);
      putRow(ip, y, line);
      stepProgressBar();
    }
  } /* end getHorizontalGradient */
예제 #7
0
  /*------------------------------------------------------------------*/
  public void getVerticalHessian(ImageProcessor ip, double tolerance) {
    if (!(ip.getPixels() instanceof float[])) {
      throw new IllegalArgumentException("Float image required");
    }

    float[] floatPixels = (float[]) ip.getPixels();
    int width = ip.getWidth();
    int height = ip.getHeight();
    double line[] = new double[height];

    for (int x = 0; (x < width); x++) {
      getColumn(ip, x, line);
      getSplineInterpolationCoefficients(line, tolerance);
      getHessian(line);
      putColumn(ip, x, line);
      stepProgressBar();
    }
  } /* end getVerticalHessian */
예제 #8
0
 /** Adds the image in 'ip' to the end of the stack. */
 public void addSlice(String sliceLabel, ImageProcessor ip) {
   if (ip.getWidth() != width || ip.getHeight() != height)
     throw new IllegalArgumentException("Dimensions do not match");
   if (nSlices == 0) {
     cm = ip.getColorModel();
     min = ip.getMin();
     max = ip.getMax();
   }
   addSlice(sliceLabel, ip.getPixels());
 }
예제 #9
0
파일: Binary.java 프로젝트: kkkkxu/BioImage
 // Binary fill by Gabriel Landini, G.Landini at bham.ac.uk
 // 21/May/2008
 void fill(ImageProcessor ip, int foreground, int background) {
   int width = ip.getWidth();
   int height = ip.getHeight();
   FloodFiller ff = new FloodFiller(ip);
   ip.setColor(127);
   for (int y = 0; y < height; y++) {
     if (ip.getPixel(0, y) == background) ff.fill(0, y);
     if (ip.getPixel(width - 1, y) == background) ff.fill(width - 1, y);
   }
   for (int x = 0; x < width; x++) {
     if (ip.getPixel(x, 0) == background) ff.fill(x, 0);
     if (ip.getPixel(x, height - 1) == background) ff.fill(x, height - 1);
   }
   byte[] pixels = (byte[]) ip.getPixels();
   int n = width * height;
   for (int i = 0; i < n; i++) {
     if (pixels[i] == 127) pixels[i] = (byte) background;
     else pixels[i] = (byte) foreground;
   }
 }
예제 #10
0
 public ImageProcessor getMask() {
   if (cachedMask != null && cachedMask.getPixels() != null) return cachedMask;
   ImageProcessor mask = new ByteProcessor(width, height);
   double a = width / 2.0, b = height / 2.0;
   double a2 = a * a, b2 = b * b;
   a -= 0.5;
   b -= 0.5;
   double xx, yy;
   int offset;
   byte[] pixels = (byte[]) mask.getPixels();
   for (int y = 0; y < height; y++) {
     offset = y * width;
     for (int x = 0; x < width; x++) {
       xx = x - a;
       yy = y - b;
       if ((xx * xx / a2 + yy * yy / b2) <= 1.0) pixels[offset + x] = -1;
     }
   }
   cachedMask = mask;
   return mask;
 }
  /**
   * 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 #12
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;
    }
예제 #13
0
  /*------------------------------------------------------------------*/
  void doIt(ImageProcessor ip) {
    int width = ip.getWidth();
    int height = ip.getHeight();
    double hLine[] = new double[width];
    double vLine[] = new double[height];

    if (!(ip.getPixels() instanceof float[])) {
      throw new IllegalArgumentException("Float image required");
    }
    switch (operation) {
      case GRADIENT_MAGNITUDE:
        {
          ImageProcessor h = ip.duplicate();
          ImageProcessor v = ip.duplicate();
          float[] floatPixels = (float[]) ip.getPixels();
          float[] floatPixelsH = (float[]) h.getPixels();
          float[] floatPixelsV = (float[]) v.getPixels();

          getHorizontalGradient(h, FLT_EPSILON);
          getVerticalGradient(v, FLT_EPSILON);
          for (int y = 0, k = 0; (y < height); y++) {
            for (int x = 0; (x < width); x++, k++) {
              floatPixels[k] =
                  (float)
                      Math.sqrt(
                          floatPixelsH[k] * floatPixelsH[k] + floatPixelsV[k] * floatPixelsV[k]);
            }
            stepProgressBar();
          }
        }
        break;
      case GRADIENT_DIRECTION:
        {
          ImageProcessor h = ip.duplicate();
          ImageProcessor v = ip.duplicate();
          float[] floatPixels = (float[]) ip.getPixels();
          float[] floatPixelsH = (float[]) h.getPixels();
          float[] floatPixelsV = (float[]) v.getPixels();

          getHorizontalGradient(h, FLT_EPSILON);
          getVerticalGradient(v, FLT_EPSILON);
          for (int y = 0, k = 0; (y < height); y++) {
            for (int x = 0; (x < width); x++, k++) {
              floatPixels[k] = (float) Math.atan2(floatPixelsH[k], floatPixelsV[k]);
            }
            stepProgressBar();
          }
        }
        break;
      case LAPLACIAN:
        {
          ImageProcessor hh = ip.duplicate();
          ImageProcessor vv = ip.duplicate();
          float[] floatPixels = (float[]) ip.getPixels();
          float[] floatPixelsHH = (float[]) hh.getPixels();
          float[] floatPixelsVV = (float[]) vv.getPixels();

          getHorizontalHessian(hh, FLT_EPSILON);
          getVerticalHessian(vv, FLT_EPSILON);
          for (int y = 0, k = 0; (y < height); y++) {
            for (int x = 0; (x < width); x++, k++) {
              floatPixels[k] = (float) (floatPixelsHH[k] + floatPixelsVV[k]);
            }
            stepProgressBar();
          }
        }
        break;
      case LARGEST_HESSIAN:
        {
          ImageProcessor hh = ip.duplicate();
          ImageProcessor vv = ip.duplicate();
          ImageProcessor hv = ip.duplicate();
          float[] floatPixels = (float[]) ip.getPixels();
          float[] floatPixelsHH = (float[]) hh.getPixels();
          float[] floatPixelsVV = (float[]) vv.getPixels();
          float[] floatPixelsHV = (float[]) hv.getPixels();

          getHorizontalHessian(hh, FLT_EPSILON);
          getVerticalHessian(vv, FLT_EPSILON);
          getCrossHessian(hv, FLT_EPSILON);
          for (int y = 0, k = 0; (y < height); y++) {
            for (int x = 0; (x < width); x++, k++) {
              floatPixels[k] =
                  (float)
                      (0.5
                          * (floatPixelsHH[k]
                              + floatPixelsVV[k]
                              + Math.sqrt(
                                  4.0 * floatPixelsHV[k] * floatPixelsHV[k]
                                      + (floatPixelsHH[k] - floatPixelsVV[k])
                                          * (floatPixelsHH[k] - floatPixelsVV[k]))));
            }
            stepProgressBar();
          }
        }
        break;
      case SMALLEST_HESSIAN:
        {
          ImageProcessor hh = ip.duplicate();
          ImageProcessor vv = ip.duplicate();
          ImageProcessor hv = ip.duplicate();
          float[] floatPixels = (float[]) ip.getPixels();
          float[] floatPixelsHH = (float[]) hh.getPixels();
          float[] floatPixelsVV = (float[]) vv.getPixels();
          float[] floatPixelsHV = (float[]) hv.getPixels();

          getHorizontalHessian(hh, FLT_EPSILON);
          getVerticalHessian(vv, FLT_EPSILON);
          getCrossHessian(hv, FLT_EPSILON);
          for (int y = 0, k = 0; (y < height); y++) {
            for (int x = 0; (x < width); x++, k++) {
              floatPixels[k] =
                  (float)
                      (0.5
                          * (floatPixelsHH[k]
                              + floatPixelsVV[k]
                              - Math.sqrt(
                                  4.0 * floatPixelsHV[k] * floatPixelsHV[k]
                                      + (floatPixelsHH[k] - floatPixelsVV[k])
                                          * (floatPixelsHH[k] - floatPixelsVV[k]))));
            }
            stepProgressBar();
          }
        }
        break;
      case HESSIAN_ORIENTATION:
        {
          ImageProcessor hh = ip.duplicate();
          ImageProcessor vv = ip.duplicate();
          ImageProcessor hv = ip.duplicate();
          float[] floatPixels = (float[]) ip.getPixels();
          float[] floatPixelsHH = (float[]) hh.getPixels();
          float[] floatPixelsVV = (float[]) vv.getPixels();
          float[] floatPixelsHV = (float[]) hv.getPixels();

          getHorizontalHessian(hh, FLT_EPSILON);
          getVerticalHessian(vv, FLT_EPSILON);
          getCrossHessian(hv, FLT_EPSILON);
          for (int y = 0, k = 0; (y < height); y++) {
            for (int x = 0; (x < width); x++, k++) {
              if (floatPixelsHV[k] < 0.0) {
                floatPixels[k] =
                    (float)
                        (-0.5
                            * Math.acos(
                                (floatPixelsHH[k] - floatPixelsVV[k])
                                    / Math.sqrt(
                                        4.0 * floatPixelsHV[k] * floatPixelsHV[k]
                                            + (floatPixelsHH[k] - floatPixelsVV[k])
                                                * (floatPixelsHH[k] - floatPixelsVV[k]))));
              } else {
                floatPixels[k] =
                    (float)
                        (0.5
                            * Math.acos(
                                (floatPixelsHH[k] - floatPixelsVV[k])
                                    / Math.sqrt(
                                        4.0 * floatPixelsHV[k] * floatPixelsHV[k]
                                            + (floatPixelsHH[k] - floatPixelsVV[k])
                                                * (floatPixelsHH[k] - floatPixelsVV[k]))));
              }
            }
            stepProgressBar();
          }
        }
        break;
      default:
        throw new IllegalArgumentException("Invalid operation");
    }
    ip.resetMinAndMax();
    imp.updateAndDraw();
  } /* end doIt */