public ImageDescription test(ImageDescription inputImage)
{
setInputImageToContexts(inputImage);
ImageDescription outputImage = ImageDescriptionUtil.createGrayscaleImageWithSameSize(inputImage);
computeIndexes();
//for (int positionY = 0; positionY < inputImage.sizeY; positionY++)
//{
// for (int positionX = 0; positionX < inputImage.sizeX; positionX++)
// {
int numberOfIndexes = currentInputImage.sizeX * currentInputImage.sizeY;
//for (int computedIndex = 0; computedIndex < numberOfIndexes; computedIndex++)
Parallel.For(0, numberOfIndexes, new ParallelOptions { MaxDegreeOfParallelism = GeneralConfiguration.maximumNumberOfThreads }, (computedIndex) =>
{
int positionX = computedIndex % currentInputImage.sizeX;
int positionY = computedIndex / currentInputImage.sizeX;
float probability;
float feebackProbability;
float outputProbability;
computeProbabilityForPosition(positionX, positionY, computedIndex, out probability, out feebackProbability, out outputProbability);
outputImage.gray[positionY, positionX] = (byte)(outputProbability * 255 + 0.5f);
}
);
// }
//}
return outputImage;
}
