/**
* Defines body of run method, which was declared in the interface.
*
* @param parentFrame parent frame
* @param image current ModelImage - this is an image already loaded into MIPAV. Can be null.
* @see ModelImage
* @see ViewJFrameImage
*/
public void run(Frame parentFrame, ModelImage image) {
if (parentFrame instanceof ViewJFrameImage) {
new PlugInDialogFociStrandMesh(parentFrame, image);
} else {
MipavUtil.displayError("PlugIn FociStrandMesh only runs on an image frame.");
}
}
/**
* Once all the necessary variables are set, call the Gaussian Blur algorithm based on what type
* of image this is and whether or not there is a separate destination image.
*/
protected void callAlgorithm() {
try {
centerDistanceAlgo =
new PlugInAlgorithmCenterDistance2(
image,
blueMin,
redMin,
redFraction,
mergingDistance,
greenMin,
greenFraction,
greenRegionNumber,
twoGreenLevels,
blueBoundaryFraction,
blueSmooth,
interpolationDivisor);
// This is very important. Adding this object as a listener allows
// the algorithm to
// notify this object when it has completed or failed. See algorithm
// performed event.
// This is made possible by implementing AlgorithmedPerformed
// interface
centerDistanceAlgo.addListener(this);
createProgressBar(image.getImageName(), " ...", centerDistanceAlgo);
setVisible(false); // Hide dialog
if (isRunInSeparateThread()) {
// Start the thread as a low priority because we wish to still
// have user interface work fast.
if (centerDistanceAlgo.startMethod(Thread.MIN_PRIORITY) == false) {
MipavUtil.displayError("A thread is already running on this object");
}
} else {
centerDistanceAlgo.run();
}
} catch (OutOfMemoryError x) {
MipavUtil.displayError("Center Distance: unable to allocate enough memory");
return;
}
} // end callAlgorithm()
/** Loads the default settings from Preferences to set up the dialog. */
public void legacyLoadDefaults() {
String defaultsString = Preferences.getDialogDefaults(getDialogName());
if ((defaultsString != null) && (newImage != null)) {
try {
StringTokenizer st = new StringTokenizer(defaultsString, ",");
textSearchWindowSide.setText("" + MipavUtil.getInt(st));
textSimilarityWindowSide.setText("" + MipavUtil.getInt(st));
textNoiseStandardDeviation.setText("" + MipavUtil.getFloat(st));
textDegree.setText("" + MipavUtil.getFloat(st));
doRician = MipavUtil.getBoolean(st);
doRicianCheckBox.setSelected(doRician);
textDegree.setEnabled(doRician);
labelDegree.setEnabled(doRician);
image25DCheckBox.setSelected(MipavUtil.getBoolean(st));
if (MipavUtil.getBoolean(st)) {
newImage.setSelected(true);
} else {
replaceImage.setSelected(true);
}
} catch (Exception ex) {
// since there was a problem parsing the defaults string, start over with the original
// defaults
Preferences.debug("Resetting defaults for dialog: " + getDialogName());
Preferences.removeProperty(getDialogName());
}
}
}
/**
* 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();
}
/**
* Creates new dialog for distances within a cell from the geometric center using a plugin.
*
* @param theParentFrame Parent frame.
* @param im Source image.
*/
public PlugInDialogCenterDistance2(Frame theParentFrame, ModelImage im) {
super(theParentFrame, false);
if (!im.isColorImage()) {
MipavUtil.displayError("Source Image must be Color");
dispose();
return;
}
image = im;
init();
}
/** 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;
}
}
/** Starts the program. */
public void runAlgorithm() {
int i, j, k;
if (srcImage == null) {
displayError("Source Image is null");
finalize();
return;
}
if (threadStopped) {
finalize();
return;
}
trueVOIs = srcImage.getVOIs();
nTrueVOIs = trueVOIs.size();
testVOIs = testImage.getVOIs();
nTestVOIs = testVOIs.size();
length = srcImage.getExtents()[0];
for (i = 1; i < srcImage.getNDims(); i++) {
length *= srcImage.getExtents()[i];
}
testLength = testImage.getExtents()[0];
for (i = 1; i < testImage.getNDims(); i++) {
testLength *= testImage.getExtents()[i];
}
if (length != testLength) {
MipavUtil.displayError(
srcImage.getImageName()
+ " and "
+ testImage.getImageName()
+ " are unequal in dimensions");
setCompleted(false);
return;
}
trueMask = new short[length];
testMask = new short[length];
ViewUserInterface.getReference().setGlobalDataText(srcImage.getImageName() + " = true\n");
ViewUserInterface.getReference().setGlobalDataText(testImage.getImageName() + " = test\n");
for (i = 0; i < nTrueVOIs; i++) {
if ((trueVOIs.VOIAt(i).getCurveType() == VOI.CONTOUR)
|| (trueVOIs.VOIAt(i).getCurveType() == VOI.POLYLINE)) {
trueID = trueVOIs.VOIAt(i).getID();
for (j = 0; j < nTestVOIs; j++) {
testID = testVOIs.VOIAt(j).getID();
if (trueID == testID) {
for (k = 0; k < length; k++) {
trueMask[k] = -1;
testMask[k] = -1;
}
trueMask = srcImage.generateVOIMask(trueMask, i);
testMask = testImage.generateVOIMask(testMask, j);
absoluteTrue = 0;
trueFound = 0;
falseNegative = 0;
falsePositive = 0;
for (k = 0; k < length; k++) {
if (trueMask[k] == trueID) {
absoluteTrue++;
if (testMask[k] == trueID) {
trueFound++;
} else {
falseNegative++;
}
} // if (trueMask[k] == trueID)
else { // trueMask[k] != trueID
if (testMask[k] == trueID) {
falsePositive++;
}
} // else trueMask[k] != trueID
} // for (k = 0; k < length; k++)
ViewUserInterface.getReference()
.setGlobalDataText(
"Statistics for VOIs with ID = " + String.valueOf(trueID) + "\n");
fnvf = (float) falseNegative / (float) absoluteTrue;
ViewUserInterface.getReference()
.setGlobalDataText(
" False negative volume fraction = " + String.valueOf(fnvf) + "\n");
fpvf = (float) falsePositive / (float) absoluteTrue;
ViewUserInterface.getReference()
.setGlobalDataText(
" False positive volume fraction = " + String.valueOf(fpvf) + "\n");
tpvf = (float) trueFound / (float) absoluteTrue;
ViewUserInterface.getReference()
.setGlobalDataText(
" True Positive volume fraction = " + String.valueOf(tpvf) + "\n\n");
} // if (trueID == testID)
} // for (j = 0; j < nTestVOIs; j++)
} // if ((trueVOIs.VOIAt(i).getCurveType() == VOI.CONTOUR)
} // for (i = 0; i < nTrueVOIs; i++)
setCompleted(true);
}
/**
* 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;
}
/**
* 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()
public void run(Frame parentFrame, ModelImage imageA, ModelImage imageB) {
if (parentFrame instanceof ViewJFrameImage) new PlugInDialogVOIIntensities(parentFrame, imageA);
else MipavUtil.displayError("PlugIn Wrap Fix only runs on an image frame.");
}
/**
* defines body of run method, which was declared in the interface. This sample run method creates
* a new image in a new frame and calls methods in PlugInSampleDrawing to add a few VOIs.
*
* @param parentFrame parent frame
* @param image current ModelImage - this is an image already loaded into MIPAV. Can be null.
* @see ModelImage
* @see ViewJFrameImage
*/
public void run(Frame parentFrame, ModelImage image) {
if (parentFrame instanceof ViewJFrameImage) new PlugInDialogProcessICG(parentFrame, image);
else MipavUtil.displayError("PlugIn Wrap Fix only runs on an image frame.");
}
/**
* 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;
}
/**
* 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();
}