public HSLFiltering( Range hue, RangeD saturation, RangeD luminance )
{
this.hue = hue;
this.saturation = saturation;
this.luminance = luminance;
}
// Selection changed in component combo
private void componentCombo_SelectedIndexChanged(object sender, System.EventArgs e)
{
AForge.Math.HistogramD h = null;
RangeD input = new RangeD(0, 1);
RangeD output = new RangeD(0, 1);
double start = 0;
switch (componentCombo.SelectedIndex)
{
case 0:
// Y
h = imgStat.Y;
input = inY;
output = outY;
break;
case 1:
// Cb
h = imgStat.Cb;
input = inCb;
output = outCb;
start = -0.5;
break;
case 2:
// Cr
h = imgStat.Cr;
input = inCr;
output = outCr;
start = -0.5;
break;
}
histogram.Values = h.Values;
inMinBox.Text = input.Min.ToString("F3");
inMaxBox.Text = input.Max.ToString("F3");
outMinBox.Text = output.Min.ToString("F3");
outMaxBox.Text = output.Max.ToString("F3");
// input slider
inSlider.Min = (int) ((input.Min - start) * 255);
inSlider.Max = (int) ((input.Max - start) * 255);
// output slider
outSlider.Min = (int) ((output.Min - start) * 255);
outSlider.Max = (int) ((output.Max - start) * 255);
}
public YCbCrFiltering( RangeD yRange, RangeD cbRange, RangeD crRange )
{
this.yRange = yRange;
this.cbRange = cbRange;
this.crRange = crRange;
}
// Selection changed in component combo
private void componentCombo_SelectedIndexChanged(object sender, System.EventArgs e)
{
AForge.Math.HistogramD h = null;
RangeD input = new RangeD(0, 1);
RangeD output = new RangeD(0, 1);
if (componentCombo.SelectedIndex == 0)
{
// satureation
h = imgStat.Saturation;
input = inSaturation;
output = outSaturation;
}
else
{
// luminance
h = imgStat.Luminance;
input = inLuminance;
output = outLuminance;
}
histogram.Values = h.Values;
inMinBox.Text = input.Min.ToString("F3");
inMaxBox.Text = input.Max.ToString("F3");
outMinBox.Text = output.Min.ToString("F3");
outMaxBox.Text = output.Max.ToString("F3");
// input slider
inSlider.Min = (int) (input.Min * 255);
inSlider.Max = (int) (input.Max * 255);
// output slider
outSlider.Min = (int) (output.Min * 255);
outSlider.Max = (int) (output.Max * 255);
}
// Constructor
public HistogramD( int[] values, RangeD range )
{
this.values = values;
this.range = range;
int v, i, l = values.Length;
int lM1 = l - 1;
double d = range.Max - range.Min;
max = 0;
min = l;
// calculate mean, min, max
for ( i = 0; i < l; i++ )
{
v = values[i];
if ( v != 0 )
{
// max
if ( i > max )
max = i;
// min
if ( i < min )
min = i;
}
// accumulate total value
total += v;
// accumulate mean value
mean += ( ( (double) i / lM1 ) * d + range.Min ) * v;
}
mean /= total;
min = ( min / lM1 ) * d + range.Min;
max = ( max / lM1 ) * d + range.Min;
// calculate stadard deviation
for ( i = 0; i < l; i++ )
{
v = values[i];
stdDev += Math.Pow( ( ( (double) i / lM1 ) * d + range.Min ) - mean, 2 ) * v;
}
stdDev = Math.Sqrt( stdDev / total );
// calculate median
int m, h = total / 2;
for ( m = 0, v = 0; median < l; m++ )
{
v += values[m];
if ( v >= h )
break;
}
median = ( (double) m / lM1 ) * d + range.Min;
}
// Constructor
public HistogramD(int[] values, RangeD range)
{
this.values = values;
this.range = range;
int v, i, l = values.Length;
int lM1 = l - 1;
double d = range.Max - range.Min;
max = 0;
min = l;
// calculate mean, min, max
for (i = 0; i < l; i++)
{
v = values[i];
if (v != 0)
{
// max
if (i > max)
{
max = i;
}
// min
if (i < min)
{
min = i;
}
}
// accumulate total value
total += v;
// accumulate mean value
mean += (((double)i / lM1) * d + range.Min) * v;
}
mean /= total;
min = (min / lM1) * d + range.Min;
max = (max / lM1) * d + range.Min;
// calculate stadard deviation
for (i = 0; i < l; i++)
{
v = values[i];
stdDev += Math.Pow((((double)i / lM1) * d + range.Min) - mean, 2) * v;
}
stdDev = Math.Sqrt(stdDev / total);
// calculate median
int m, h = total / 2;
for (m = 0, v = 0; median < l; m++)
{
v += values[m];
if (v >= h)
{
break;
}
}
median = ((double)m / lM1) * d + range.Min;
}
