/** 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 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()
