private string UpdateInfoPicture(Image3D ImageToProcess)
{
string textBoxInfoPictureText;
if (ImageToProcess == null)
{
textBoxInfoPicture.Text = "No picture selected";
textBoxImageName.Enabled = false;
numericUpDownChannelForHisto.Enabled = false;
radioButtonHistoTypeClassic.Enabled = false;
radioButtonHistoTypeCumulated.Enabled = false;
UpdateHisto(null, 0);
return "";
}
textBoxImageName.Enabled = true;
//textBoxImageName.Text = ImageToProcess.Name;
textBoxInfoPictureText = "Width : " + ImageToProcess.Width.ToString() + "\r\n";
textBoxInfoPictureText += "Height : " + ImageToProcess.Height.ToString() + "\r\n";
textBoxInfoPictureText += "Depth : " + ImageToProcess.Depth.ToString() + "\r\n";
textBoxInfoPictureText += "Number of channels : " + ImageToProcess.NumBands.ToString() + "\r\n";
textBoxInfoPictureText += "X Scale : " + ImageToProcess.XResolution + "\r\n";
textBoxInfoPictureText += "Y Scale : " + ImageToProcess.YResolution + "\r\n";
textBoxInfoPictureText += "Z Scale : " + ImageToProcess.ZResolution + "\r\n";
float TmpValue;
for (int channel = 0; channel < ImageToProcess.NumBands; channel++)
{
textBoxInfoPictureText += "----------------------\r\n";
textBoxInfoPictureText += "Channel " + channel.ToString() + "\r\n";
float minValue = new IM.Library.Mathematics.MathTools().Min(ImageToProcess.Data[channel]);
textBoxInfoPictureText += "Min : " + minValue.ToString() + "\r\n";
float maxValue = new IM.Library.Mathematics.MathTools().Max(ImageToProcess.Data[channel]);
textBoxInfoPictureText += "Max : " + maxValue.ToString() + "\r\n";
TmpValue = new IM.Library.Mathematics.MathTools().Mean(ImageToProcess.Data[channel]);
textBoxInfoPictureText += "Mean : " + TmpValue.ToString() + "\r\n";
TmpValue = new IM.Library.Mathematics.MathTools().Std(ImageToProcess.Data[channel]);
textBoxInfoPictureText += "Std : " + TmpValue.ToString() + "\r\n";
TmpValue = new IM.Library.Mathematics.MathTools().MAD(ImageToProcess.Data[channel], true);
textBoxInfoPictureText += "MAD : " + TmpValue.ToString() + "\r\n";
TmpValue = new IM.Library.Mathematics.MathTools().Median(ImageToProcess.Data[channel], 0, ImageToProcess.ImageSize - 1);
textBoxInfoPictureText += "Median : " + TmpValue.ToString() + "\r\n";
TmpValue = new IM.Library.Mathematics.MathTools().Skew(ImageToProcess.Data[channel]);
textBoxInfoPictureText += "Skewness : " + TmpValue.ToString() + "\r\n";
TmpValue = new IM.Library.Mathematics.MathTools().Kurt(ImageToProcess.Data[channel]);
textBoxInfoPictureText += "Kurtosis : " + TmpValue.ToString() + "\r\n";
}
UpdateHisto(ImageToProcess, (int)numericUpDownChannelForHisto.Value);
textBoxInfoPicture.Text = textBoxInfoPictureText;
return textBoxInfoPictureText;
}
private void meanValuesToolStripMenuItem_Click(object sender, EventArgs e)
{
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;
string sMeanValues;
float CurrentMean;
Console.WriteLine("Mean values:");
for (int i = 0; i < indexesCount; i++)
{
Image3D TmpIm = ((Image3D)(this.listViewHeap.Items[indexes[i]].Tag));
int NumChannel = TmpIm.NumBands;
sMeanValues = "";
for (int Band = 0; Band < NumChannel; Band++)
{
CurrentMean = new IM.Library.Mathematics.MathTools().Mean(TmpIm.Data[Band]);
sMeanValues += CurrentMean.ToString();
sMeanValues += " ";
}
Console.WriteLine(sMeanValues);
}
}
