/** Disposes of image memory and associated objects. */
public void disposeLocal() {
m_aafBox = null;
m_aafM = null;
m_afShear = null;
m_afOffset = null;
m_afA = null;
m_afB = null;
m_aiSliceBound = null;
m_aiBound = null;
m_aiSliceMin = null;
m_aiSliceMax = null;
m_aiClipMin = null;
m_aiClipMax = null;
m_aaaasEncode = null;
m_aaasVolumeEncode = null;
m_aasSliceEncode = null;
m_aaiIndex = null;
m_asSkip = null;
m_aiCurrentI = null;
m_aiInterC = null;
m_kP00 = null;
m_kP01 = null;
m_kP10 = null;
m_kP11 = null;
m_kPosition = null;
super.disposeLocal();
System.gc();
}
/** 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;
}
}
/**
* 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;
System.gc();
if (replaceImage.isSelected()) {
displayLoc = REPLACE;
} else if (newImage.isSelected()) {
displayLoc = NEW;
}
tmpStr = textSearchWindowSide.getText();
if (testParameter(tmpStr, 5, 101)) {
searchWindowSide = Integer.valueOf(tmpStr).intValue();
} else {
MipavUtil.displayError("Search window side must be between 5 and 101");
textSearchWindowSide.requestFocus();
textSearchWindowSide.selectAll();
return false;
}
if ((searchWindowSide % 2) == 0) {
MipavUtil.displayError("Search window side must be an odd number");
textSearchWindowSide.requestFocus();
textSearchWindowSide.selectAll();
return false;
}
tmpStr = textSimilarityWindowSide.getText();
if (testParameter(tmpStr, 3, 99)) {
similarityWindowSide = Integer.valueOf(tmpStr).intValue();
} else {
MipavUtil.displayError("Similarity window side must be between 3 and 99");
textSimilarityWindowSide.requestFocus();
textSimilarityWindowSide.selectAll();
return false;
}
if ((similarityWindowSide % 2) == 0) {
MipavUtil.displayError("Similarity window side must be an odd number");
textSimilarityWindowSide.requestFocus();
textSimilarityWindowSide.selectAll();
return false;
}
if (similarityWindowSide >= searchWindowSide) {
MipavUtil.displayError("Similarity window side must be less than search window side");
textSimilarityWindowSide.requestFocus();
textSimilarityWindowSide.selectAll();
return false;
}
tmpStr = textNoiseStandardDeviation.getText();
if (testParameter(tmpStr, 0.001, 1000.0)) {
noiseStandardDeviation = Float.valueOf(tmpStr).floatValue();
} else {
MipavUtil.displayError("Radius must be between 0.001 and 1000.0");
textNoiseStandardDeviation.requestFocus();
textNoiseStandardDeviation.selectAll();
return false;
}
doRician = doRicianCheckBox.isSelected();
if (doRician) {
tmpStr = textDegree.getText();
if (testParameter(tmpStr, 1.0, 10.0)) {
degreeOfFiltering = Float.valueOf(tmpStr).floatValue();
} else {
MipavUtil.displayError("Degree of filtering must be between 1.0 and 10.0");
textDegree.requestFocus();
textDegree.selectAll();
}
}
if (image.getNDims() > 2) {
image25D = image25DCheckBox.isSelected();
}
return true;
}
/**
* Initializes the GUI by creating the components, placing them in the dialog, and displaying
* them.
*/
private void init() {
setForeground(Color.black);
setTitle("Nonlocal Means Filter");
JPanel mainPanel;
mainPanel = new JPanel();
mainPanel.setBorder(BorderFactory.createEmptyBorder(3, 3, 3, 3));
mainPanel.setLayout(new GridBagLayout());
GridBagConstraints gbc = new GridBagConstraints();
gbc.gridwidth = 1;
gbc.gridheight = 1;
gbc.anchor = GridBagConstraints.WEST;
gbc.weightx = 1;
gbc.insets = new Insets(3, 3, 3, 3);
gbc.gridx = 0;
gbc.gridy = 0;
gbc.fill = GridBagConstraints.HORIZONTAL;
paramPanel = new JPanel(new GridBagLayout());
paramPanel.setForeground(Color.black);
paramPanel.setBorder(buildTitledBorder("Parameters"));
mainPanel.add(paramPanel, gbc);
GridBagConstraints gbc2 = new GridBagConstraints();
gbc2.gridwidth = 1;
gbc2.gridheight = 1;
gbc2.anchor = GridBagConstraints.WEST;
gbc2.weightx = 1;
gbc2.insets = new Insets(3, 3, 3, 3);
gbc2.gridx = 0;
gbc2.gridy = 0;
gbc2.fill = GridBagConstraints.HORIZONTAL;
labelSearchWindowSide = createLabel("Search window side (odd)");
paramPanel.add(labelSearchWindowSide, gbc2);
gbc2.gridx = 1;
textSearchWindowSide = createTextField("15");
paramPanel.add(textSearchWindowSide, gbc2);
gbc2.gridx = 0;
gbc2.gridy = 1;
labelSimilarityWindowSide = createLabel("Similarity window side (odd) ");
paramPanel.add(labelSimilarityWindowSide, gbc2);
gbc2.gridx = 1;
textSimilarityWindowSide = createTextField("7");
paramPanel.add(textSimilarityWindowSide, gbc2);
gbc2.gridx = 0;
gbc2.gridy = 2;
labelNoiseStandardDeviation = createLabel("Noise standard deviation ");
paramPanel.add(labelNoiseStandardDeviation, gbc2);
gbc2.gridx = 1;
textNoiseStandardDeviation = createTextField("10.0");
paramPanel.add(textNoiseStandardDeviation, gbc2);
gbc2.gridx = 0;
gbc2.gridy = 3;
labelDegree = createLabel("Degree of filtering ");
labelDegree.setEnabled(doRician);
paramPanel.add(labelDegree, gbc2);
gbc2.gridx = 1;
textDegree = createTextField("1.414");
textDegree.setEnabled(doRician);
paramPanel.add(textDegree, gbc2);
gbc2.gridx = 0;
gbc2.gridy = 4;
doRicianCheckBox = new JCheckBox("Deal with Rician noise in MRI");
doRicianCheckBox.setFont(serif12);
doRicianCheckBox.setSelected(false);
doRicianCheckBox.addActionListener(this);
paramPanel.add(doRicianCheckBox, gbc2);
if (image.getNDims() > 2) {
gbc2.gridx = 0;
gbc2.gridy = 5;
gbc2.gridwidth = 2;
image25DCheckBox = new JCheckBox("Process each slice independently (2.5D)");
image25DCheckBox.setFont(serif12);
paramPanel.add(image25DCheckBox, gbc2);
image25DCheckBox.setSelected(false);
} // if (image.getNDims > 2)
JPanel outputOptPanel = new JPanel(new GridLayout(1, 2));
destinationPanel = new JPanel(new BorderLayout());
destinationPanel.setForeground(Color.black);
destinationPanel.setBorder(buildTitledBorder("Destination"));
outputOptPanel.add(destinationPanel);
destinationGroup = new ButtonGroup();
newImage = new JRadioButton("New image", true);
newImage.setBounds(10, 16, 120, 25);
newImage.setFont(serif12);
destinationGroup.add(newImage);
destinationPanel.add(newImage, BorderLayout.NORTH);
replaceImage = new JRadioButton("Replace image", false);
replaceImage.setFont(serif12);
destinationGroup.add(replaceImage);
destinationPanel.add(replaceImage, BorderLayout.CENTER);
// Only if the image is unlocked can it be replaced.
if (image.getLockStatus() == ModelStorageBase.UNLOCKED) {
replaceImage.setEnabled(true);
} else {
replaceImage.setEnabled(false);
}
gbc.gridx = 0;
gbc.gridy = 1;
mainPanel.add(outputOptPanel, gbc);
mainDialogPanel.add(mainPanel, BorderLayout.CENTER);
mainDialogPanel.add(buildButtons(), BorderLayout.SOUTH);
getContentPane().add(mainDialogPanel);
pack();
setResizable(true);
// setVisible(true);
System.gc();
}
/** Sets up the GUI (panels, buttons, etc) and displays it on the screen. */
private void init() {
DecimalFormat df;
int xUnits;
String unitStr;
String distStr;
setForeground(Color.black);
setTitle("Center Distances version 2 07/14/08");
df = new DecimalFormat("0.000E0");
GridBagConstraints gbc = new GridBagConstraints();
int yPos = 0;
gbc.gridwidth = 1;
gbc.gridheight = 1;
gbc.anchor = GridBagConstraints.WEST;
gbc.weightx = 1;
gbc.insets = new Insets(3, 3, 3, 3);
gbc.fill = GridBagConstraints.HORIZONTAL;
gbc.gridx = 0;
gbc.gridy = yPos++;
JPanel mainPanel = new JPanel(new GridBagLayout());
mainPanel.setForeground(Color.black);
mainPanel.setBorder(buildTitledBorder("Input parameters"));
blueMinLabel = new JLabel("Minimum number of blue pixels per nucleus");
blueMinLabel.setForeground(Color.black);
blueMinLabel.setFont(serif12);
gbc.gridx = 0;
gbc.gridy = yPos;
mainPanel.add(blueMinLabel, gbc);
blueMinText = new JTextField(5);
if (image.getNDims() == 2) {
blueMinText.setText("1000");
} else {
blueMinText.setText("20000");
}
blueMinText.setFont(serif12);
gbc.gridx = 1;
gbc.gridy = yPos++;
mainPanel.add(blueMinText, gbc);
redMinLabel = new JLabel("Minimum red pixel count");
redMinLabel.setForeground(Color.black);
redMinLabel.setFont(serif12);
gbc.gridx = 0;
gbc.gridy = yPos;
mainPanel.add(redMinLabel, gbc);
redMinText = new JTextField(5);
redMinText.setText("50");
redMinText.setFont(serif12);
gbc.gridx = 1;
gbc.gridy = yPos++;
mainPanel.add(redMinText, gbc);
redFractionLabel = new JLabel("Fraction of red pixels to consider");
redFractionLabel.setForeground(Color.black);
redFractionLabel.setFont(serif12);
gbc.gridx = 0;
gbc.gridy = yPos;
mainPanel.add(redFractionLabel, gbc);
redFractionText = new JTextField(5);
redFractionText.setText("0.15");
redFractionText.setFont(serif12);
gbc.gridx = 1;
gbc.gridy = yPos++;
mainPanel.add(redFractionText, gbc);
xUnits = image.getFileInfo(0).getUnitsOfMeasure()[0];
if (xUnits != Unit.UNKNOWN_MEASURE.getLegacyNum()) {
unitStr = (Unit.getUnitFromLegacyNum(xUnits)).toString();
greenMergingLabel = new JLabel("Green merging radius around peak (" + unitStr + ")");
} else {
greenMergingLabel = new JLabel("Green merging radius around peak");
}
greenMergingLabel.setForeground(Color.black);
greenMergingLabel.setFont(serif12);
gbc.gridx = 0;
gbc.gridy = yPos;
mainPanel.add(greenMergingLabel, gbc);
if (image.getNDims() == 2) {
// mergingDistance = 8.0f * image.getFileInfo(0).getResolutions()[0];
mergingDistance = 0.0f;
} else {
// mergingDistance = 4.0f * image.getFileInfo(0).getResolutions()[0];
mergingDistance = 0.0f;
}
distStr = df.format(mergingDistance);
greenMergingText = new JTextField(10);
greenMergingText.setText(distStr);
greenMergingText.setFont(serif12);
gbc.gridx = 1;
gbc.gridy = yPos++;
mainPanel.add(greenMergingText, gbc);
greenMinLabel = new JLabel("Minimum green pixel count");
greenMinLabel.setForeground(Color.black);
greenMinLabel.setFont(serif12);
gbc.gridx = 0;
gbc.gridy = yPos;
mainPanel.add(greenMinLabel, gbc);
greenMinText = new JTextField(5);
greenMinText.setText("10");
greenMinText.setFont(serif12);
gbc.gridx = 1;
gbc.gridy = yPos++;
mainPanel.add(greenMinText, gbc);
greenFractionLabel = new JLabel("Fraction of green pixels to consider");
greenFractionLabel.setForeground(Color.black);
greenFractionLabel.setFont(serif12);
gbc.gridx = 0;
gbc.gridy = yPos;
mainPanel.add(greenFractionLabel, gbc);
greenFractionText = new JTextField(5);
greenFractionText.setText("0.01");
greenFractionText.setFont(serif12);
gbc.gridx = 1;
gbc.gridy = yPos++;
mainPanel.add(greenFractionText, gbc);
greenRegionsLabel = new JLabel("Green regions per cell");
greenRegionsLabel.setForeground(Color.black);
greenRegionsLabel.setFont(serif12);
gbc.gridx = 0;
gbc.gridy = yPos;
mainPanel.add(greenRegionsLabel, gbc);
JPanel buttonPanel = new JPanel(new GridBagLayout());
greenGroup = new ButtonGroup();
oneButton = new JRadioButton("1", false);
oneButton.setForeground(Color.black);
oneButton.setFont(serif12);
greenGroup.add(oneButton);
gbc.gridx = 0;
gbc.gridy = 0;
buttonPanel.add(oneButton, gbc);
twoButton = new JRadioButton("2", true);
twoButton.setForeground(Color.black);
twoButton.setFont(serif12);
greenGroup.add(twoButton);
gbc.gridx = 1;
gbc.gridy = 0;
buttonPanel.add(twoButton, gbc);
threeButton = new JRadioButton("3", false);
threeButton.setForeground(Color.black);
threeButton.setFont(serif12);
greenGroup.add(threeButton);
gbc.gridx = 2;
gbc.gridy = 0;
buttonPanel.add(threeButton, gbc);
fourButton = new JRadioButton("4", false);
fourButton.setForeground(Color.black);
fourButton.setFont(serif12);
greenGroup.add(fourButton);
gbc.gridx = 3;
gbc.gridy = 0;
buttonPanel.add(fourButton, gbc);
gbc.gridx = 1;
gbc.gridy = yPos++;
mainPanel.add(buttonPanel, gbc);
twoBox = new JCheckBox("Use 2 top gray levels in green segmentation", true);
twoBox.setForeground(Color.black);
twoBox.setFont(serif12);
gbc.gridx = 0;
gbc.gridy = yPos++;
mainPanel.add(twoBox, gbc);
blueValueLabel =
new JLabel("Fraction of blue transition from image min to max at nucleus boundary");
blueValueLabel.setForeground(Color.black);
blueValueLabel.setFont(serif12);
gbc.gridx = 0;
gbc.gridy = yPos;
mainPanel.add(blueValueLabel, gbc);
blueValueText = new JTextField(5);
blueValueText.setText("0.15");
blueValueText.setFont(serif12);
gbc.gridx = 1;
gbc.gridy = yPos++;
mainPanel.add(blueValueText, gbc);
blueSmoothBox = new JCheckBox("Smooth blue VOI contours with AlgorithmBSmooth", true);
blueSmoothBox.setForeground(Color.black);
blueSmoothBox.setFont(serif12);
blueSmoothBox.addActionListener(this);
gbc.gridx = 0;
gbc.gridy = yPos++;
mainPanel.add(blueSmoothBox, gbc);
interpolationLabel = new JLabel("Number of interpolation points determined by divisor (> 1.0)");
interpolationLabel.setForeground(Color.black);
interpolationLabel.setFont(serif12);
gbc.gridx = 0;
gbc.gridy = yPos;
mainPanel.add(interpolationLabel, gbc);
interpolationText = new JTextField(5);
interpolationText.setText("24.0");
interpolationText.setFont(serif12);
gbc.gridx = 1;
gbc.gridy = yPos++;
mainPanel.add(interpolationText, gbc);
getContentPane().add(mainPanel, BorderLayout.CENTER);
getContentPane().add(buildButtons(), BorderLayout.SOUTH);
pack();
setVisible(true);
setResizable(false);
System.gc();
} // end init()
/**
* Once all the necessary variables are set, call the Concat algorithm based on what type of image
* this is and whether or not there is a separate destination image.
*/
protected void callAlgorithm() {
int destExtents[] = new int[3];
ModelImage destImage = null;
destExtents[0] = subXDim;
destExtents[1] = subYDim;
destExtents[2] = numberOfImagesInMosaic;
destImage =
new ModelImage(
image.getType(), destExtents, makeImageName(image.getImageName(), "_mosaic_to_slices"));
try {
// Make algorithm
mathAlgo = new AlgorithmMosaicToSlices(image, destImage);
// 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
mathAlgo.addListener(this);
createProgressBar(image.getImageName(), mathAlgo);
// Hide dialog
setVisible(false);
if (displayLoc == REPLACE) {
// 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 (mathAlgo.startMethod(Thread.MIN_PRIORITY) == false) {
MipavUtil.displayError("A thread is already running on this object");
}
} else {
mathAlgo.run();
}
} catch (OutOfMemoryError x) {
System.gc();
MipavUtil.displayError("Dialog Concatenation: 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();
}
/**
* Calculates the Laplacian image and replaces the source image with the new image.
*
* @param buffer DOCUMENT ME!
* @param extents DOCUMENT ME!
* @return resultBuffer
*/
@SuppressWarnings("unused")
private float[] calcInPlace3DBuffer(float[] buffer, int[] extents) {
int i, s;
int length;
float[] resultBuffer;
float lap;
try {
if (buffer == null) {
length = srcImage.getSliceSize() * srcImage.getExtents()[2];
buffer = new float[length];
} else {
length = buffer.length;
}
resultBuffer = new float[length];
sBuffer = new byte[length];
if (srcImage != null) {
fireProgressStateChanged(srcImage.getImageName(), "Calculating the Laplacian ...");
} else {
fireProgressStateChanged("Medialness", "Calculating the Laplacian ...");
}
} catch (OutOfMemoryError e) {
buffer = null;
resultBuffer = null;
sBuffer = null;
errorCleanUp("Algorithm Laplacian exportData: Out of memory", true);
return null;
}
try {
if (srcImage != null) {
srcImage.exportData(0, length, buffer); // locks and releases lock
}
} catch (IOException error) {
buffer = null;
resultBuffer = null;
System.gc();
errorCleanUp("Algorithm Laplacian: " + error, false);
return null;
}
float[] sigs = new float[3];
for (s = 1; (s <= 8) && !threadStopped; s++) {
sigs[0] = s;
sigs[1] = s;
sigs[2] = s;
makeKernels3D(sigs);
fireProgressStateChanged(Math.round((float) (s) / 8 * 100));
for (i = 0; (i < length) && !threadStopped; i++) {
// if (entireImage == true || mask.get(i)) {
lap = AlgorithmConvolver.convolve3DPtMed(i, extents, buffer, kExtents, GxxData);
if (lap > resultBuffer[i]) {
resultBuffer[i] = lap;
}
sBuffer[i] = (byte) s;
// }
// else {
// resultBuffer[i] = 0;
// }
}
}
return resultBuffer;
}
/** Calculates the Laplacian and replaces the source image with the new image. */
private void calcInPlace3D() {
int i;
int length;
float[] buffer;
float[] resultBuffer;
float lap;
try {
length = srcImage.getSliceSize() * srcImage.getExtents()[2];
buffer = new float[length];
resultBuffer = new float[length];
srcImage.exportData(0, length, buffer); // locks and releases lock
fireProgressStateChanged(srcImage.getImageName(), "Calculating the Laplacian ...");
} catch (IOException error) {
buffer = null;
resultBuffer = null;
errorCleanUp("Algorithm Laplacian exportData: Image(s) locked", true);
return;
} catch (OutOfMemoryError e) {
errorCleanUp("Algorithm Laplacian exportData: Out of memory", true);
return;
}
int mod = length / 100; // mod is 1 percent of length
for (i = 0; (i < length) && !threadStopped; i++) {
if (((i % mod) == 0)) {
fireProgressStateChanged(Math.round((float) i / (length - 1) * 100));
}
if ((entireImage == true) || mask.get(i)) {
lap = AlgorithmConvolver.convolve3DPt(i, srcImage.getExtents(), buffer, kExtents, GxxData);
resultBuffer[i] = lap;
} else {
resultBuffer[i] = buffer[i];
}
}
buffer = null;
System.gc();
if (threadStopped) {
finalize();
return;
}
try {
srcImage.importData(0, resultBuffer, true);
} catch (IOException error) {
buffer = null;
resultBuffer = null;
errorCleanUp("Algorithm Laplacian importData: Image(s) locked", true);
return;
}
setCompleted(true);
}