/** dispose memory. */
  public void disposeLocal() {

    if (mathAlgo != null) {
      mathAlgo.finalize();
      mathAlgo = null;
    }

    if (image != null) {
      image.disposeLocal();
    }

    image = null;

    if (resultImage != null) {
      resultImage.disposeLocal();
    }

    resultImage = null;
  }
  /**
   * This method is required if the AlgorithmPerformed interface is implemented. It is called by the
   * algorithms when it has completed or failed to to complete, so that the dialog can be display
   * the result image and/or clean up.
   *
   * @param algorithm Algorithm that caused the event.
   */
  public void algorithmPerformed(AlgorithmBase algorithm) {

    if (algorithm instanceof AlgorithmNonlocalMeansFilter) {
      image.clearMask();

      if ((nlMeansFilterAlgo.isCompleted() == true) && (resultImage != null)) {

        updateFileInfo(image, resultImage);
        resultImage.clearMask();

        // The algorithm has completed and produced a new image to be displayed.
        try {
          new ViewJFrameImage(resultImage, null, new Dimension(610, 200));
        } catch (OutOfMemoryError error) {
          MipavUtil.displayError("Out of memory: unable to open new frame");
        }
      } else if (resultImage == null) {

        // These next lines set the titles in all frames where the source image is displayed to
        // image name so as to indicate that the image is now unlocked!
        // The image frames are enabled and then registed to the userinterface.
        Vector<ViewImageUpdateInterface> imageFrames = image.getImageFrameVector();

        for (int i = 0; i < imageFrames.size(); i++) {
          ((Frame) (imageFrames.elementAt(i))).setTitle(titles[i]);
          ((Frame) (imageFrames.elementAt(i))).setEnabled(true);

          if (((Frame) (imageFrames.elementAt(i))) != parentFrame) {
            userInterface.registerFrame((Frame) (imageFrames.elementAt(i)));
          }
        }

        if (parentFrame != null) {
          userInterface.registerFrame(parentFrame);
        }

        image.notifyImageDisplayListeners(null, true);
      } else if (resultImage != null) {

        // algorithm failed but result image still has garbage
        resultImage.disposeLocal(); // clean up memory
        resultImage = null;
      }
    }

    if (algorithm.isCompleted()) {
      insertScriptLine();
    }
    // save the completion status for later
    setComplete(algorithm.isCompleted());

    nlMeansFilterAlgo.finalize();
    nlMeansFilterAlgo = null;
    dispose();
  }
  /**
   * 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;
      }
    }
  }
  /**
   * This method is required if the AlgorithmPerformed interface is implemented. It is called by the
   * algorithms when it has completed or failed to to complete, so that the dialog can be display
   * the result image and/or clean up.
   *
   * @param algorithm Algorithm that caused the event.
   */
  public void algorithmPerformed(AlgorithmBase algorithm) {
    ViewJFrameImage imageFrame = null;

    if (algorithm instanceof AlgorithmMosaicToSlices) {

      if ((mathAlgo.isCompleted() == true) && (mathAlgo.getResultImage() != null)) {

        // The algorithm has completed and produced a new image to be displayed.
        if (displayLoc == NEW) {

          try {
            resultImage = mathAlgo.getResultImage();

            new ViewJFrameImage(resultImage, null, new Dimension(610, 200));
          } catch (OutOfMemoryError error) {
            System.gc();
            MipavUtil.displayError("Out of memory: unable to open new frame");
          }
        } else {

          // These next lines set the titles in all frames where the source image is displayed to
          // image name so as to indicate that the image is now unlocked!
          // The image frames are enabled and then registed to the userinterface.
          resultImage = mathAlgo.getResultImage();

          Vector<ViewImageUpdateInterface> imageFrames = image.getImageFrameVector();

          for (int i = 0; i < imageFrames.size(); i++) {
            ((Frame) (imageFrames.elementAt(i))).setTitle(titles[i]);
            ((Frame) (imageFrames.elementAt(i))).setEnabled(true);

            if ((((Frame) (imageFrames.elementAt(i))) != parentFrame) && (parentFrame != null)) {
              userInterface.registerFrame((Frame) (imageFrames.elementAt(i)));
            }
          }

          Point pt;

          if (parentFrame != null) {
            pt = ((ViewJFrameBase) parentFrame).getLocation();
          } else {
            pt =
                new Point(
                    Toolkit.getDefaultToolkit().getScreenSize().width / 2,
                    Toolkit.getDefaultToolkit().getScreenSize().height / 2);
          }

          imageFrame = new ViewJFrameImage(resultImage, null, new Dimension(pt.x, pt.y));

          if (parentFrame != null) {
            ((ViewJFrameBase) parentFrame).close();
          } else {
            ((ViewJFrameBase) image.getParentFrame()).close();
          }

          // Not so sure about this.
          if (image.getLightBoxFrame() != null) {

            try {
              pt = image.getLightBoxFrame().getLocation();
              image.getLightBoxFrame().close();
              new ViewJFrameLightBox(
                  imageFrame,
                  "LightBox",
                  resultImage,
                  imageFrame.getComponentImage().getLUTa(),
                  imageFrame.getComponentImage().getImageB(),
                  imageFrame.getComponentImage().getLUTb(),
                  imageFrame.getComponentImage().getResolutionX(),
                  imageFrame.getComponentImage().getResolutionY(),
                  new Dimension(pt.x, pt.y),
                  imageFrame.getControls(),
                  imageFrame.getVOIManager());
            } catch (OutOfMemoryError error) {
              MipavUtil.displayError("Out of memory: unable to open new frame");
            }
          }
        }
      } else if (resultImage == null) {

        // These next lines set the titles in all frames where the source image is displayed to
        // image name so as to indicate that the image is now unlocked!
        // The image frames are enabled and then registered to the userinterface.
        /*Vector imageFrames = imageA.getImageFrameVector();

        for (int i = 0; i < imageFrames.size(); i++) {
            ((Frame) (imageFrames.elementAt(i))).setTitle(titles[i]);
            ((Frame) (imageFrames.elementAt(i))).setEnabled(true);

            if (((Frame) (imageFrames.elementAt(i))) != parentFrame) {
                userInterface.registerFrame((Frame) (imageFrames.elementAt(i)));

            }
        }*/

        if (parentFrame != null) {
          userInterface.registerFrame(parentFrame);
        }

        image.notifyImageDisplayListeners(null, true);
      } else if (resultImage != null) {

        // algorithm failed but result image still has garbage
        resultImage.disposeLocal(); // clean up memory
        System.gc();
      }
    }

    if (algorithm.isCompleted()) {
      insertScriptLine();
    }

    mathAlgo.finalize();
    mathAlgo = null;
    dispose();
  }