public static void fill_random(Floatarray v, float lo, float hi)
{
for (int i = 0; i < v.Length1d(); i++)
{
v.Put1d(i, (float)((hi - lo) * DRandomizer.Default.drand() + lo));
}
}
public static void binarize_with_threshold(Bytearray result, Floatarray image, float threshold)
{
result.MakeLike(image);
for (int i = 0; i < image.Length1d(); i++)
{
result.Put1d(i, image.At1d(i) < threshold ? (byte)0 : (byte)255);
}
}
/// <summary>
/// Brushfire transformation using 2-norm.
/// </summary>
public static void brushfire_2(ref Floatarray distance, ref Narray <Point> source, float maxdist)
{
BrushFire.Go(Metric2.Default, ref distance, ref source, maxdist);
for (int i = 0; i < distance.Length1d(); i++)
{
distance.Put1d(i, (float)Math.Sqrt(distance.At1d(i)));
}
}
public static void Sparsify(Floatarray a, int n)
{
NBest nbest = new NBest(n);
for (int i = 0; i < a.Length1d(); i++)
{
nbest.Add(i, Math.Abs(a.At1d(i)));
}
double threshold = nbest.Value(n - 1);
for (int i = 0; i < a.Length1d(); i++)
{
if (Math.Abs(a.At1d(i)) < threshold)
{
a.Put1d(i, 0f);
}
}
}
public static void binarize_by_range(Bytearray outa, Floatarray ina, float fraction)
{
float imin = NarrayUtil.Min(ina);
float imax = NarrayUtil.Max(ina);
float thresh = (int)(imin + (imax - imin) * fraction);
outa.MakeLike(ina);
for (int i = 0; i < ina.Length1d(); i++)
{
if (ina.At1d(i) > thresh) outa.Put1d(i, 255);
else outa.Put1d(i, 0);
}
}
protected static int count_zeros(Floatarray a)
{
int n = a.Length1d();
int count = 0;
for (int i = 0; i < n; i++)
{
if (a.UnsafeAt1d(i) == 0f)
{
count++;
}
}
return(count);
}
public static void remove_dontcares(ref Intarray image)
{
Floatarray dist = new Floatarray();
Narray <Point> source = new Narray <Point>();
dist.Resize(image.Dim(0), image.Dim(1));
for (int i = 0; i < dist.Length1d(); i++)
{
if (!dontcare(image.At1d(i)))
{
dist.Put1d(i, (image.At1d(i) > 0 ? 1 : 0));
}
}
BrushFire.brushfire_2(ref dist, ref source, 1000000);
for (int i = 0; i < dist.Length1d(); i++)
{
Point p = source.At1d(i);
if (dontcare(image.At1d(i)))
{
image.Put1d(i, image[p.X, p.Y]);
}
}
}
public static void propagate_labels_to(ref Intarray target, Intarray seed)
{
Floatarray dist = new Floatarray();
Narray <Point> source = new Narray <Point>();
dist.Copy(seed);
BrushFire.brushfire_2(ref dist, ref source, 1000000);
for (int i = 0; i < dist.Length1d(); i++)
{
Point p = source.At1d(i);
if (target.At1d(i) > 0)
{
target.Put1d(i, seed[p.X, p.Y]);
}
}
}
/// <summary>
/// Propagate labels across the entire image from a set of non-zero seeds.
/// </summary>
public static void propagate_labels(ref Intarray image)
{
Floatarray dist = new Floatarray();
Narray <Point> source = new Narray <Point>();
dist.Copy(image);
BrushFire.brushfire_2(ref dist, ref source, 1000000);
for (int i = 0; i < dist.Length1d(); i++)
{
Point p = source.At1d(i);
if (image.At1d(i) == 0)
{
image.Put1d(i, image[p.X, p.Y]);
}
}
}
public static void binarize_by_range(Bytearray outa, Floatarray ina, float fraction)
{
float imin = NarrayUtil.Min(ina);
float imax = NarrayUtil.Max(ina);
float thresh = (int)(imin + (imax - imin) * fraction);
outa.MakeLike(ina);
for (int i = 0; i < ina.Length1d(); i++)
{
if (ina.At1d(i) > thresh)
{
outa.Put1d(i, 255);
}
else
{
outa.Put1d(i, 0);
}
}
}
public static void remove_dontcares(ref Intarray image)
{
Floatarray dist = new Floatarray();
Narray<Point> source = new Narray<Point>();
dist.Resize(image.Dim(0), image.Dim(1));
for (int i = 0; i < dist.Length1d(); i++)
if (!dontcare(image.At1d(i))) dist.Put1d(i, (image.At1d(i) > 0 ? 1 : 0));
BrushFire.brushfire_2(ref dist, ref source, 1000000);
for (int i = 0; i < dist.Length1d(); i++)
{
Point p = source.At1d(i);
if (dontcare(image.At1d(i))) image.Put1d(i, image[p.X, p.Y]);
}
}
public static void propagate_labels_to(ref Intarray target, Intarray seed)
{
Floatarray dist = new Floatarray();
Narray<Point> source = new Narray<Point>();
dist.Copy(seed);
BrushFire.brushfire_2(ref dist, ref source, 1000000);
for (int i = 0; i < dist.Length1d(); i++)
{
Point p = source.At1d(i);
if (target.At1d(i) > 0) target.Put1d(i, seed[p.X, p.Y]);
}
}
/// <summary>
/// Propagate labels across the entire image from a set of non-zero seeds.
/// </summary>
public static void propagate_labels(ref Intarray image)
{
Floatarray dist = new Floatarray();
Narray<Point> source = new Narray<Point>();
dist.Copy(image);
BrushFire.brushfire_2(ref dist, ref source, 1000000);
for (int i = 0; i < dist.Length1d(); i++)
{
Point p = source.At1d(i);
if (image.At1d(i) == 0) image.Put1d(i, image[p.X, p.Y]);
}
}
/// <summary>
/// Brushfire transformation using 2-norm.
/// </summary>
public static void brushfire_2(ref Floatarray distance, ref Narray<Point> source, float maxdist)
{
BrushFire.Go(Metric2.Default, ref distance, ref source, maxdist);
for (int i = 0; i < distance.Length1d(); i++)
distance.Put1d(i, (float)Math.Sqrt(distance.At1d(i)));
}
protected static int count_zeros(Floatarray a)
{
int n = a.Length1d();
int count = 0;
for (int i = 0; i < n; i++)
if (a.UnsafeAt1d(i) == 0f) count++;
return count;
}
public static void binarize_with_threshold(Bytearray result, Floatarray image, float threshold)
{
result.MakeLike(image);
for (int i = 0; i < image.Length1d(); i++)
result.Put1d(i, image.At1d(i) < threshold ? (byte)0 : (byte)255);
}
