Beispiel #1
0
  /** Calls the algorithm. */
  protected void callAlgorithm() {

    try {
      resultImage =
          new ModelImage(imageA.getType(), imageA.getExtents(), (imageA.getImageName() + "_isn"));
      resultImage.copyFileTypeInfo(imageA);

      // Make algorithm
      isnAlgo = new PlugInAlgorithmISN(resultImage, imageA);

      // This is very important. Adding this object as a listener allows the algorithm to
      // notify this object when it has completed of failed. See algorithm performed event.
      // This is made possible by implementing AlgorithmedPerformed interface
      isnAlgo.addListener(this);

      createProgressBar(imageA.getImageName(), " ...", isnAlgo);

      // Hide dialog
      setVisible(false);

      if (isRunInSeparateThread()) {

        // Start the thread as a low priority because we wish to still have user interface work
        // fast.
        if (isnAlgo.startMethod(Thread.MIN_PRIORITY) == false) {
          MipavUtil.displayError("A thread is already running on this object");
        }
      } else {
        isnAlgo.run();
      }
    } catch (OutOfMemoryError x) {
      System.gc();
      MipavUtil.displayError("AlgorithmAbsoluteValue: unable to allocate enough memory");

      return;
    }
  }
  /**
   * Once all the necessary variables are set, call the Nonlocal Means filter algorithm based on
   * what type of image this is and whether or not there is a separate destination image.
   */
  protected void callAlgorithm() {
    String name = makeImageName(image.getImageName(), "_NonlocalMeans");
    int[] destExtents;

    if (image.getNDims() == 2) { // source image is 2D
      destExtents = new int[2];
      destExtents[0] = image.getExtents()[0]; // X dim
      destExtents[1] = image.getExtents()[1]; // Y dim
    } else {
      destExtents = new int[3];
      destExtents[0] = image.getExtents()[0];
      destExtents[1] = image.getExtents()[1];
      destExtents[2] = image.getExtents()[2];
    }

    if (displayLoc == NEW) {

      try {

        // Make result image of float type
        if (image.isColorImage()) {
          resultImage = new ModelImage(ModelImage.ARGB, destExtents, name);
        } else {
          resultImage = new ModelImage(ModelImage.FLOAT, destExtents, name);
        }

        // resultImage = (ModelImage)image.clone();
        // resultImage.setImageName(name);
        // Make algorithm
        nlMeansFilterAlgo =
            new AlgorithmNonlocalMeansFilter(
                resultImage,
                image,
                searchWindowSide,
                similarityWindowSide,
                noiseStandardDeviation,
                degreeOfFiltering,
                doRician,
                image25D);

        // This is very important. Adding this object as a listener allows the algorithm to
        // notify this object when it has completed of failed. See algorithm performed event.
        // This is made possible by implementing AlgorithmedPerformed interface
        nlMeansFilterAlgo.addListener(this);
        createProgressBar(image.getImageName(), nlMeansFilterAlgo);

        // Hide dialog
        setVisible(false);

        if (isRunInSeparateThread()) {

          // Start the thread as a low priority because we wish to still have user interface work
          // fast
          if (nlMeansFilterAlgo.startMethod(Thread.MIN_PRIORITY) == false) {
            MipavUtil.displayError("A thread is already running on this object");
          }
        } else {
          nlMeansFilterAlgo.run();
        }
      } catch (OutOfMemoryError x) {
        MipavUtil.displayError("Dialog Nonlocal Means Filter: unable to allocate enough memory");

        if (resultImage != null) {
          resultImage.disposeLocal(); // Clean up memory of result image
          resultImage = null;
        }

        return;
      }
    } else {

      try {

        // No need to make new image space because the user has choosen to replace the source image
        // Make the algorithm class
        nlMeansFilterAlgo =
            new AlgorithmNonlocalMeansFilter(
                null,
                image,
                searchWindowSide,
                similarityWindowSide,
                noiseStandardDeviation,
                degreeOfFiltering,
                doRician,
                image25D);

        // This is very important. Adding this object as a listener allows the algorithm to
        // notify this object when it has completed of failed. See algorithm performed event.
        // This is made possible by implementing AlgorithmedPerformed interface
        nlMeansFilterAlgo.addListener(this);
        createProgressBar(image.getImageName(), nlMeansFilterAlgo);

        // Hide the dialog since the algorithm is about to run.
        setVisible(false);

        // These next lines set the titles in all frames where the source image is displayed to
        // "locked - " image name so as to indicate that the image is now read/write locked!
        // The image frames are disabled and then unregisted from the userinterface until the
        // algorithm has completed.
        Vector<ViewImageUpdateInterface> imageFrames = image.getImageFrameVector();
        titles = new String[imageFrames.size()];

        for (int i = 0; i < imageFrames.size(); i++) {
          titles[i] = ((Frame) (imageFrames.elementAt(i))).getTitle();
          ((Frame) (imageFrames.elementAt(i))).setTitle("Locked: " + titles[i]);
          ((Frame) (imageFrames.elementAt(i))).setEnabled(false);
          userInterface.unregisterFrame((Frame) (imageFrames.elementAt(i)));
        }

        if (isRunInSeparateThread()) {

          // Start the thread as a low priority because we wish to still have user interface work
          // fast
          if (nlMeansFilterAlgo.startMethod(Thread.MIN_PRIORITY) == false) {
            MipavUtil.displayError("A thread is already running on this object");
          }
        } else {
          nlMeansFilterAlgo.run();
        }
      } catch (OutOfMemoryError x) {
        MipavUtil.displayError("Dialog Nonlocal Means Filter: unable to allocate enough memory");

        return;
      }
    }
  }
  /**
   * Use the GUI results to set up the variables needed to run the algorithm.
   *
   * @return <code>true</code> if parameters set successfully, <code>false</code> otherwise.
   */
  private boolean setVariables() {
    String tmpStr;
    int i;

    int totLength = image.getExtents()[0];

    for (i = 1; i < image.getNDims(); i++) {
      totLength *= image.getExtents()[i];
    }

    tmpStr = greenMergingText.getText();
    mergingDistance = Float.parseFloat(tmpStr);
    if (mergingDistance < 0.0f) {
      MipavUtil.displayError("Merging distance cannot be less than 0");
      greenMergingText.requestFocus();
      greenMergingText.selectAll();
      return false;
    }

    tmpStr = redMinText.getText();
    redMin = Integer.parseInt(tmpStr);

    if (redMin < 1) {
      MipavUtil.displayError("red minimum must be at least 1");
      redMinText.requestFocus();
      redMinText.selectAll();

      return false;
    } else if (redMin > totLength) {
      MipavUtil.displayError("red minimum must not exceed " + totLength);
      redMinText.requestFocus();
      redMinText.selectAll();

      return false;
    }

    tmpStr = redFractionText.getText();
    redFraction = Float.parseFloat(tmpStr);

    if (redFraction <= 0.0f) {
      MipavUtil.displayError("red fraction must be greater than zero");
      redFractionText.requestFocus();
      redFractionText.selectAll();

      return false;
    } else if (redFraction > 1.0f) {
      MipavUtil.displayError("red fraction must not exceed one");
      redFractionText.requestFocus();
      redFractionText.selectAll();

      return false;
    }

    tmpStr = greenMinText.getText();
    greenMin = Integer.parseInt(tmpStr);

    if (greenMin < 1) {
      MipavUtil.displayError("green minimum must be at least 1");
      greenMinText.requestFocus();
      greenMinText.selectAll();

      return false;
    } else if (greenMin > totLength) {
      MipavUtil.displayError("green minimum must not exceed " + totLength);
      greenMinText.requestFocus();
      greenMinText.selectAll();

      return false;
    }

    tmpStr = greenFractionText.getText();
    greenFraction = Float.parseFloat(tmpStr);

    if (greenFraction <= 0.0f) {
      MipavUtil.displayError("green fraction must be greater than zero");
      greenFractionText.requestFocus();
      greenFractionText.selectAll();

      return false;
    } else if (greenFraction > 1.0f) {
      MipavUtil.displayError("green fraction must not exceed one");
      greenFractionText.requestFocus();
      greenFractionText.selectAll();

      return false;
    }

    tmpStr = blueMinText.getText();
    blueMin = Integer.parseInt(tmpStr);
    if (blueMin <= 0) {
      MipavUtil.displayError("Number of blue pixels must be greater than 0");
      blueMinText.requestFocus();
      blueMinText.selectAll();
      return false;
    } else if (blueMin > totLength) {
      MipavUtil.displayError("blue minimum must not exceed " + totLength);
      blueMinText.requestFocus();
      blueMinText.selectAll();

      return false;
    }

    if (oneButton.isSelected()) {
      greenRegionNumber = 1;
    } else if (twoButton.isSelected()) {
      greenRegionNumber = 2;
    } else if (threeButton.isSelected()) {
      greenRegionNumber = 3;
    } else {
      greenRegionNumber = 4;
    }

    twoGreenLevels = twoBox.isSelected();

    tmpStr = blueValueText.getText();
    blueBoundaryFraction = Float.parseFloat(tmpStr);
    if (blueBoundaryFraction < 0.0f) {
      MipavUtil.displayError("Blue boundary fraction cannot be less than 0.0");
      blueValueText.requestFocus();
      blueValueText.selectAll();
      return false;
    } else if (blueBoundaryFraction > 1.0f) {
      MipavUtil.displayError("Blue boundary value cannot be greater than 1.0");
      blueValueText.requestFocus();
      blueValueText.selectAll();
      return false;
    }

    blueSmooth = blueSmoothBox.isSelected();

    tmpStr = interpolationText.getText();
    interpolationDivisor = Float.parseFloat(tmpStr);
    if (interpolationDivisor <= 1.0f) {
      MipavUtil.displayError("Interpolation divisor must be greater than 1");
      interpolationText.requestFocus();
      interpolationText.selectAll();
      return false;
    }

    return true;
  } // end setVariables()
  /**
   * Use the GUI results to set up the variables needed to run the algorithm.
   *
   * @return <code>true</code> if parameters set successfully, <code>false</code> otherwise.
   */
  private boolean setVariables() {
    String tmpStr;

    tmpStr = textXDim.getText();
    try {
      subXDim = Integer.parseInt(tmpStr);
    } catch (NumberFormatException e) {
      MipavUtil.displayError("New XDIM string is not a valid integer");
      textXDim.requestFocus();
      textXDim.selectAll();

      return false;
    }
    if (subXDim < 3) {
      MipavUtil.displayError("New XDIM must be at least 3");
      textXDim.requestFocus();
      textXDim.selectAll();

      return false;
    } else if (subXDim > image.getExtents()[0]) {
      MipavUtil.displayError("New XDIM cannot exceed " + image.getExtents()[0]);
      textXDim.requestFocus();
      textXDim.selectAll();

      return false;
    }

    tmpStr = textYDim.getText();
    try {
      subYDim = Integer.parseInt(tmpStr);
    } catch (NumberFormatException e) {
      MipavUtil.displayError("New YDIM string is not a valid integer");
      textYDim.requestFocus();
      textYDim.selectAll();

      return false;
    }
    if (subYDim < 3) {
      MipavUtil.displayError("New YDIM must be at least 3");
      textYDim.requestFocus();
      textYDim.selectAll();

      return false;
    } else if (subYDim > image.getExtents()[1]) {
      MipavUtil.displayError("New YDIM cannot exceed " + image.getExtents()[1]);
      textYDim.requestFocus();
      textYDim.selectAll();

      return false;
    }

    tmpStr = textNumberImages.getText();
    try {
      numberOfImagesInMosaic = Integer.parseInt(tmpStr);
    } catch (NumberFormatException e) {
      MipavUtil.displayError("New numberOfImagesInMosaic string is not a valid integer");
      textNumberImages.requestFocus();
      textNumberImages.selectAll();

      return false;
    }
    if (numberOfImagesInMosaic < 1) {
      MipavUtil.displayError("New numberOfImagesInMosaic must be at least 1");
      textNumberImages.requestFocus();
      textNumberImages.selectAll();

      return false;
    } else if (numberOfImagesInMosaic > (subXDim * subYDim)) {
      MipavUtil.displayError("New numberOfImagesInMosaic cannot exceed (newXDim) * (newYDim)");
      textNumberImages.requestFocus();
      textNumberImages.selectAll();

      return false;
    }

    displayLoc = NEW;

    return true;
  }