public Picture DemosaickBayer8(COLOR_CONVERSION cc)
{
using (var bgr = new Picture(Width, Height))
{
var bgra = new Picture(Width, Height);
CvInvoke.cvCvtColor(this.Gray.Ptr, bgr.Bgr.Ptr, cc);
bgra.Bgra.ConvertFrom<Bgr, byte>(bgr.Bgr);
return bgra;
}
}
public Picture Histogram()
{
var chans = 3;
var bins = 256;
var range = new RangeF(0, 255);
var hist = new DenseHistogram(bins, range);
var split = this.bgra.Split();
var colors = new Bgra[]
{
new Bgra(255, 0, 0, 255),
new Bgra(0, 255, 0, 255),
new Bgra(0, 0, 255, 255),
};
var hip = new Picture(bins * chans, bins + 1); // Todo, plus one Jaap, really? Tssssk... wrote Jaap to himself.
hip.Bgra.SetValue(Color.Black.ToBgra());
for (int chan = 0; chan < chans; ++chan)
{
hist.Calculate<byte>(new Image<Gray, byte>[] { split[chan] }, false, null);
// Todo, Jaap, December 2010, hist.Normalize(bins - 1);
float min, max;
int[] minLoc, maxLoc;
hist.MinMax(out min, out max, out minLoc, out maxLoc);
if (max == min)
continue;
var scale = 255.0f / (max - min);
for (int x = 0; x < bins; ++x)
{
var n = hip.Height - (int)(hist[x] * scale);
for (int y = hip.Height - 1; y > n; --y)
hip.Bgra[y, x + chan * bins] = colors[chan];
}
}
foreach (var c in split)
c.Dispose();
return hip;
}
public static void ExchangeAndFree(ref Picture location, ref Picture value)
{
var previous = Interlocked.Exchange(ref location, value);
if (previous != null)
previous.Dispose();
value = null;
}