/// <summary>
/// Initializes a new instance of the <see cref="ContinuousHistogram"/> class.
/// </summary>
///
/// <param name="values">Values of the histogram.</param>
/// <param name="range">Range of random values.</param>
///
/// <remarks>Values of the integer array are treated as total amount of hits on the
/// corresponding subranges, which are calculated by splitting the specified range into
/// required amount of consequent ranges (see <see cref="ContinuousHistogram"/> class
/// description for more information).
/// </remarks>
///
public ContinuousHistogram( int[] values, Range range )
{
this.values = values;
this.range = range;
Update( );
}
public HSLFiltering( Range hue, RangeD saturation, RangeD luminance )
{
this.hue = hue;
this.saturation = saturation;
this.luminance = luminance;
}
// Selection changed in channels combo
private void channelCombo_SelectedIndexChanged(object sender, System.EventArgs e)
{
AForge.Math.Histogram h = null;
Color color = Color.White;
Range input = new Range(0, 255);
Range output = new Range(0, 255);
int index = channelCombo.SelectedIndex;
if (!imgStat.IsGrayscale)
{
// RGB image
histogram.Color = colors[index];
switch (index)
{
case 0: // red
h = imgStat.Red;
input = inRed;
output = outRed;
color = Color.FromArgb(255, 0, 0);
break;
case 1: // green
h = imgStat.Green;
input = inGreen;
output = outGreen;
color = Color.FromArgb(0, 255, 0);
break;
case 2: // blue
h = imgStat.Blue;
input = inBlue;
output = outBlue;
color = Color.FromArgb(0, 0, 255);
break;
}
}
else
{
// grayscale image
histogram.Color = colors[3];
h = imgStat.Gray;
input = inGreen;
output = outGreen;
}
histogram.Values = h.Values;
inMinBox.Text = input.Min.ToString();
inMaxBox.Text = input.Max.ToString();
outMinBox.Text = output.Min.ToString();
outMaxBox.Text = output.Max.ToString();
// input slider
inSlider.Color2 = color;
inSlider.Min = input.Min;
inSlider.Max = input.Max;
// output slider
outSlider.Color2 = color;
outSlider.Min = output.Min;
outSlider.Max = output.Max;
}
public ColorFiltering( Range red, Range green, Range blue )
{
this.red = red;
this.green = green;
this.blue = blue;
}
// Perform frequency filtering
public void FrequencyFilter( Range range )
{
if ( fmode )
{
int hw = width >> 1;
int hh = height >> 1;
int min = range.Min;
int max = range.Max;
// process all data
for ( int i = 0; i < height; i++ )
{
int y = i - hh;
for ( int j = 0; j < width; j++ )
{
int x = j - hw;
int d = (int) Math.Sqrt( x * x + y * y );
if ( ( d > max ) || ( d < min ) )
{
data[i, j].Re = 0;
data[i, j].Im = 0;
}
}
}
}
}
public ChannelFiltering( Range red, Range green, Range blue )
{
Red = red;
Green = green;
Blue = blue;
}
// Calculate map
private void CalculateMap( Range range, byte fill, bool fillOutsideRange, byte[] map )
{
for (int i = 0; i < 256; i++)
{
if ( ( i >= range.Min ) && ( i <= range.Max ) )
{
map[i] = ( fillOutsideRange ) ? (byte) i : fill;
}
else
{
map[i] = ( fillOutsideRange ) ? fill : (byte) i;
}
}
}
// Calculate map
private void CalculateMap( Range inRange, Range outRange, byte[] map )
{
double k = 0, b = 0;
if ( inRange.Max != inRange.Min )
{
k = (double)( outRange.Max - outRange.Min ) / (double)( inRange.Max - inRange.Min );
b = (double)( outRange.Min ) - k * inRange.Min;
}
for ( int i = 0; i < 256; i++ )
{
byte v = (byte) i;
if ( v >= inRange.Max )
v = (byte) outRange.Max;
else if ( v <= inRange.Min )
v = (byte) outRange.Min;
else
v = (byte) ( k * v + b );
map[i] = v;
}
}