private void uniformNoiseToolStripMenuItem_Click(object sender, EventArgs e)
{
RequestForNoise RQuest = new RequestForNoise();
RQuest.Text = "Uniform Noise";
RQuest.label1.Text = "Min.";
RQuest.label2.Text = "Max.";
if (RQuest.ShowDialog() != DialogResult.OK)
{
return;
}
ListView.SelectedIndexCollection indexes = this.listViewHeap.SelectedIndices;
if (indexes.Count == 0) return;
Image3D Result = new Image3D(((Image3D)(this.listViewHeap.Items[indexes[0]].Tag)).Width,
((Image3D)(this.listViewHeap.Items[indexes[0]].Tag)).Height,
((Image3D)(this.listViewHeap.Items[indexes[0]].Tag)).Depth,
((Image3D)(this.listViewHeap.Items[indexes[0]].Tag)).NumBands);
Random r = new Random();
float RandVal = 0.0f;
float Range = (float)RQuest.numericUpDownGaussianNoiseStdv.Value - (float)RQuest.numericUpDownGaussianNoiseMean.Value;
int indexesCount = indexes.Count;
for (int i = 0; i < indexesCount; i++)
{
Image3D TmpIm = ((Image3D)(this.listViewHeap.Items[indexes[i]].Tag));
for (int Band = 0; Band < TmpIm.NumBands; Band++)
{
Array.Copy(TmpIm.Data[Band], Result.Data[Band], TmpIm.ImageSize);
for (int idx = 0; idx < Result.ImageSize; idx++)
{
RandVal = Range * (float)r.NextDouble() + (float)RQuest.numericUpDownGaussianNoiseMean.Value;
Result.Data[Band][idx] += RandVal;
}
}
//Result.Name = "Sqrt result";
AddImageToHeap(Result, 0);
}
indexes.Clear();
}
private void gaussianNoiseToolStripMenuItem_Click(object sender, EventArgs e)
{
RequestForNoise RQuest = new RequestForNoise();
RQuest.Text = "Gaussian Noise";
if (RQuest.ShowDialog() != DialogResult.OK)
{
return;
}
ListView.SelectedIndexCollection indexes = this.listViewHeap.SelectedIndices;
if (indexes.Count == 0) return;
Image3D Result = new Image3D(((Image3D)(this.listViewHeap.Items[indexes[0]].Tag)).Width,
((Image3D)(this.listViewHeap.Items[indexes[0]].Tag)).Height,
((Image3D)(this.listViewHeap.Items[indexes[0]].Tag)).Depth,
((Image3D)(this.listViewHeap.Items[indexes[0]].Tag)).NumBands);
int indexesCount = indexes.Count;
for (int i = 0; i < indexesCount; i++)
{
Image3D TmpIm = ((Image3D)(this.listViewHeap.Items[indexes[i]].Tag));
for (int Band = 0; Band < TmpIm.NumBands; Band++)
{
Array.Copy(TmpIm.Data[Band], Result.Data[Band], TmpIm.ImageSize);
}
// numericUpDownGaussMeanValue
IM.Library.Tools.GaussianNoiseGenerator GaussNoise = new IM.Library.Tools.GaussianNoiseGenerator((float)RQuest.numericUpDownGaussianNoiseMean.Value, (float)RQuest.numericUpDownGaussianNoiseStdv.Value);
GaussNoise.Disturb(Result);
//Result.Name = "Sqrt result";
AddImageToHeap(Result, 0);
}
indexes.Clear();
//Sequence NewSeq = new Sequence();
//for (int T = 0; T < IMGlobal.CurrentSequence.SequenceSize; T++)
//{
// Image3D CurrentIm = IMGlobal.CurrentSequence[T];
// Image3D ResultIm = new Image3D(CurrentIm.Width, CurrentIm.Height, CurrentIm.Depth, CurrentIm.NumBands);
// for (int Channel = 0; Channel < CurrentIm.NumBands; Channel++)
// {
// Array.Copy(CurrentIm.Data[Channel], ResultIm.Data[Channel], ResultIm.ImageSize);
// }
// IM.Library.Tools.GaussianNoiseGenerator GaussNoise = new IM.Library.Tools.GaussianNoiseGenerator(numericUpDownGaussMeanValue, numericUpDownGaussStdValue);
// GaussNoise.Disturb(ResultIm);
// NewSeq.Add(ResultIm);
//}
//IMGlobal.AddSequence(NewSeq, "Gaussian Noise (" + numericUpDownGaussMeanValue + ";" + numericUpDownGaussStdValue + ")");
}
