/**
* 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()
/**
* 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;
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;
}
