public void GaussianImage()
{
Task task = Task.Factory.StartNew(() =>
{
ClearPerfomanceInfo();
RaisePropertyChanged("PerfomanceInfo");
CanNewExecute = false;
try
{
GaussianFilter filter = new GaussianFilter();
RGB[,] pixels = ImageHelper.GetPixels(OriginImage.Bitmap);
if (pixels != null)
{
filter.Filter(OriginImage.Bitmap.Width, OriginImage.Bitmap.Height, pixels, Sigma);
SegmentedImage = new ImageViewModel(ImageHelper.GetFilterBitmap(pixels));
}
}
catch { }
finally
{
CanNewExecute = true;
}
});
}
public void SegmentImage()
{
Task task = Task.Factory.StartNew(() =>
{
CanNewExecute = false;
try
{
IFhSegmentation segmentation = SegmentationFactory.Instance.GetFhSegmentation(SortModification, MargeHeuristic);
RGB[,] pixels = ImageHelper.GetPixels(OriginImage.Bitmap);
if (pixels != null)
{
var input = OriginImage.Bitmap;
int[] klabels;
int numlabels;
var watch = Stopwatch.StartNew();
var superPixel = new SLICO().PerformSLICO_ForGivenK(
ref input,
out klabels,
out numlabels,
N,
Color.Red);
watch.Stop();
perfomanceInfo.SuperpixelPerfomance = watch.ElapsedMilliseconds;
BitmapData bitmapData = superPixel.LockBits(new Rectangle(0, 0, superPixel.Width, superPixel.Height), ImageLockMode.ReadOnly, superPixel.PixelFormat);
var superpixels = ImageHelper.ToMatrix(klabels, bitmapData.Width, bitmapData.Height,
bitmapData.Stride);
GaussianFilter filter = new GaussianFilter();
filter.Filter(OriginImage.Bitmap.Width, OriginImage.Bitmap.Height, pixels, Sigma);
int[,] segments = segmentation.BuildSegments(OriginImage.Bitmap.Width, OriginImage.Bitmap.Height, pixels, K, MinSize, Connection, DifType, ref perfomanceInfo, superpixels);
if (RandomColor)
{
SegmentedImage = new ImageViewModel(ImageHelper.GetBitmap(segments));
}
else
{
SegmentedImage = new ImageViewModel(ImageHelper.GetBitmap(segments, pixels, MakeBorders));
}
RaisePropertyChanged("PerfomanceInfo");
}
}
catch { }
finally
{
CanNewExecute = true;
}
});
}