public AbstractSortedGrayLevelIterator(final Image<T> image) {
this.image = image;
this.position = image.createPositionArray();
this.n = image.getNumPixels();
this.maxIdx = this.n - 1;
this.dimensions = image.getDimensions();
createInternalCursor();
this.sortedLinIdx = getLinearIndexArraySortedByGrayLevel();
reset();
}
@Override
public boolean process() {
final long startTime = System.currentTimeMillis();
final long imageSize = image.getNumPixels();
final AtomicInteger ai = new AtomicInteger(0);
final Thread[] threads = SimpleMultiThreading.newThreads(getNumThreads());
final Vector<Chunk> threadChunks = SimpleMultiThreading.divideIntoChunks(imageSize, numThreads);
final boolean isCompatible =
image.getContainer().compareStorageContainerCompatibility(output.getContainer());
for (int ithread = 0; ithread < threads.length; ++ithread)
threads[ithread] =
new Thread(
new Runnable() {
public void run() {
// Thread ID
final int myNumber = ai.getAndIncrement();
// get chunk of pixels to process
final Chunk myChunk = threadChunks.get(myNumber);
// check if all container types are comparable so that we can use simple iterators
// we assume transivity here
if (isCompatible) {
// we can simply use iterators
computeSimple(myChunk.getStartPosition(), myChunk.getLoopSize());
} else {
// we need a combination of Localizable and LocalizableByDim
computeAdvanced(myChunk.getStartPosition(), myChunk.getLoopSize());
}
}
});
SimpleMultiThreading.startAndJoin(threads);
processingTime = System.currentTimeMillis() - startTime;
return true;
}
