void WorkerOnRunWorkerCompleted(object sender, RunWorkerCompletedEventArgs e)
{
if (e.Cancelled)
{
currentTask.OriginalImage.Dispose();
if (currentTaskImage != null)
{
currentTaskImage.Dispose();
}
}
else if (!runAfterCancel)
{
Image oldImage = pictureBox.Image;
pictureBox.Image = currentTaskImage;
// Free resources used by the previous rendering
if (oldImage != null && oldImage != originalImage)
{
oldImage.Dispose();
}
// We're done! Unlock the interface.
SetProgressVisible(false);
}
currentTaskImage = null;
currentTask = null;
if (runAfterCancel)
{
runAfterCancel = false;
bProcess.PerformClick();
}
}
void bProcess_Click(object sender, EventArgs e)
{
// cancel whatever task is in progress
if (currentTask != null)
{
runAfterCancel = true;
worker.CancelAsync();
currentTask.CancelAsync();
return;
}
SortAlgorithm algo = (SortAlgorithm)cAlgorithm.SelectedIndex;
SortOrder order = (SortOrder)cOrder.SelectedIndex;
SortMetric metric = (SortMetric)cMetric.SelectedIndex;
SamplingMode sampling = (SamplingMode)cSampling.SelectedIndex;
int segmentWidth = (int)nSegmentWidth.Value;
int segmentHeight = (int)nSegmentHeight.Value;
double threshold = tbThreshold.Value / 100d;
pbProgress.Value = 0;
SetProgressVisible(true);
currentTask = new SortingTask(algo,
order,
metric,
sampling,
segmentWidth,
segmentHeight,
(Bitmap)originalImage.Clone(),
threshold);
currentTask.ProgressChanged += (o, args) => worker.ReportProgress(args.ProgressPercentage);
worker.RunWorkerAsync();
}
public Segment(SortingTask task, int x, int y)
{
OffsetX = x;
OffsetY = y;
Value = 0;
Value = GetValue(task);
}
static double GetSingleValue(SortingTask task, int x, int y)
{
Color c = task.OriginalImage.GetPixel(x, y);
switch (task.Metric)
{
case SortMetric.Intensity:
return(c.GetIntensity());
case SortMetric.Lightness:
return(c.GetLightness());
case SortMetric.Value:
return(Math.Max(c.R, Math.Max(c.G, c.B)));
case SortMetric.Luma:
return(c.R * 0.2126 + c.G * 0.7152 + c.B * 0.0722);
case SortMetric.HslHue:
return(c.GetHue() / 360d);
case SortMetric.LabHue: {
LabColor labC = c.ToLab();
if (labC.a == 0)
{
return(Math.PI / 2);
}
else
{
double lh = Math.Atan2(labC.b, labC.a);
if (lh <= 0)
{
lh = Math.PI * 2 - Math.Abs(lh);
}
return(lh);
}
}
case SortMetric.Chroma:
return(c.GetChroma());
case SortMetric.LabChroma: {
LabColor labColor = c.ToLab();
return(Math.Sqrt(labColor.a * labColor.a + labColor.b * labColor.b));
}
case SortMetric.HsbSaturation: {
double chroma = c.GetChroma();
if (chroma == 0)
{
return(0);
}
else
{
return(chroma / c.GetMax());
}
}
case SortMetric.HsiSaturation: {
double chroma = c.GetChroma();
double intensity = c.GetIntensity();
if (chroma == 0 || intensity == 0)
{
return(0);
}
else
{
double m = c.GetMin();
return(1 - m / intensity);
}
}
case SortMetric.HslSaturation: {
double max = c.GetMax();
double min = c.GetMin();
double chroma = c.GetChroma();
double L = c.GetLightness();
if (chroma == 0 || L == 0 || L == 1)
{
return(0);
}
if (L < 0.5)
{
return(chroma / (max + min));
}
else
{
return(chroma / (2 - max - min));
}
}
case SortMetric.LabSaturation: {
LabColor labColor = c.ToLab();
if (labColor.L < ColorUtil.LinearThreshold)
{
return(0);
}
else
{
return(Math.Sqrt(labColor.a * labColor.a + labColor.b * labColor.b) / labColor.L);
}
}
case SortMetric.RedChannel:
return(c.R);
case SortMetric.GreenChannel:
return(c.G);
case SortMetric.BlueChannel:
return(c.B);
case SortMetric.Red:
return(c.R - Math.Max(c.G, c.B));
case SortMetric.Green:
return(c.G - Math.Max(c.R, c.B));
case SortMetric.Blue:
return(c.B - Math.Max(c.R, c.G));
case SortMetric.Cyan:
return((c.G + c.B) - Math.Max(c.R * 1.5, Math.Abs(c.G - c.B)));
case SortMetric.Magenta:
return((c.R + c.B) - Math.Max(c.G * 1.5, Math.Abs(c.R - c.B)));
case SortMetric.Yellow:
return((c.R + c.G) - Math.Max(c.B * 1.5, Math.Abs(c.R - c.G)));
case SortMetric.LabA:
return(c.ToLab().a);
case SortMetric.LabB:
return(c.ToLab().b);
default:
throw new ArgumentOutOfRangeException();
}
}
double GetValue(SortingTask task)
{
if (task.Algorithm == SortAlgorithm.Segment)
{
return(GetSingleValue(task, OffsetX, OffsetY));
}
switch (task.Sampling)
{
case SamplingMode.Center:
return(GetSingleValue(task, OffsetX + task.SegmentWidth / 2, OffsetY + task.SegmentHeight / 2));
case SamplingMode.Mean: {
double result = 0;
for (int x = 0; x < task.SegmentWidth; ++x)
{
for (int y = 0; y < task.SegmentHeight; ++y)
{
result += GetSingleValue(task, OffsetX + x, OffsetY + y);
}
}
return(result / (task.SegmentWidth * task.SegmentHeight));
}
case SamplingMode.Median: {
var all = new double[task.SegmentWidth * task.SegmentHeight];
for (int x = 0; x < task.SegmentWidth; ++x)
{
for (int y = 0; y < task.SegmentHeight; ++y)
{
all[x * task.SegmentHeight + y] = GetSingleValue(task, OffsetX + x, OffsetY + y);
}
}
Array.Sort(all);
return(all[all.Length / 2]);
}
case SamplingMode.Maximum: {
double result = double.MinValue;
for (int x = 0; x < task.SegmentWidth; ++x)
{
for (int y = 0; y < task.SegmentHeight; ++y)
{
result = Math.Max(result, GetSingleValue(task, OffsetX + x, OffsetY + y));
}
}
return(result);
}
case SamplingMode.Minimum: {
double result = double.MaxValue;
for (int x = 0; x < task.SegmentWidth; ++x)
{
for (int y = 0; y < task.SegmentHeight; ++y)
{
result = Math.Min(result, GetSingleValue(task, OffsetX + x, OffsetY + y));
}
}
return(result);
}
case SamplingMode.Random:
return(GetSingleValue(task, OffsetX + task.rand.Next(task.SegmentWidth),
OffsetY + task.rand.Next(task.SegmentHeight)));
default:
throw new ArgumentOutOfRangeException();
}
}