private int[] calculate16bitHisogram(TifFileInfo fi, int C, int imageN = -1)
{
FrameCalculator FC = new FrameCalculator();
int frame = FC.FrameC(fi, C);
if (imageN != -1)
{
frame = imageN;
}
int step = 101 - fi.spotSensitivity[C];
int[] res = new int[Convert.ToInt32(ushort.MaxValue / step) + 1];
//calculate histogram
foreach (ushort[] row in fi.image16bitFilter[frame])
{
foreach (ushort val in row)
{
res[Convert.ToInt32(val / step)]++;
}
}
return(res);
}
private void calculate8bitHistogram(float[] h, TifFileInfo fi, int width, int height)
{
FrameCalculator FC = new FrameCalculator();
int frame = FC.FrameC(fi, fi.cValue);
if (fi.sumHistogramChecked[fi.cValue] == false)
{
//histogram of current frame
for (int y = 0; y < height; y++)
{
for (int x = 0; x < width; x++)
{
h[fi.image8bitFilter[frame][y][x]]++;
}
}
}
else
{
//histogram of all images
int[] input = new int[(int)(fi.imageCount / fi.sizeC)];
float[][] hList = new float[input.Length][];
//check wich frames are from selected color
for (int i = 0, val = fi.cValue; i < input.Length; i++, val += fi.sizeC)
{
input[i] = val;
}
//calculate histograms for all images
Parallel.For(0, input.Length, (i) =>
{
float[] h1 = new float[NGRAY];
for (int y = 0; y < height; y++)
{
for (int x = 0; x < width; x++)
{
h1[fi.image8bitFilter[input[i]][y][x]]++;
}
}
hList[i] = h1;
});
//sum histograms to one
for (int hInd = 0; hInd < hList.Length; hInd++)
{
for (int i = 0; i < NGRAY; i++)
{
h[i] += hList[hInd][i];
}
}
}
}
public void calculateHistogramArray(TifFileInfo fi, bool LoadChart)
{
TifFileInfo oldFI = IA.TabPages.TabCollections[IA.TabPages.SelectedIndex].tifFI;
if (fi.image16bit == null & fi.image8bit == null)
{
return;
}
oldFI = fi;
FrameCalculator FC = new FrameCalculator();
int frame = FC.Frame(fi);
if (fi.openedImages < frame)
{
return;
}
//Chech is array empty and fill it
if (fi.histogramArray == null)
{
PrepareArray(fi);
}
//Empty current array
for (int i = 0; i < fi.histogramArray[fi.cValue].Length; i++)
{
fi.histogramArray[fi.cValue][i] = 0;
}
//Fill the array
bool check = false;
switch (fi.bitsPerPixel)
{
case 8:
check = calculateHistogram8bit(fi, frame);
break;
case 16:
check = calculateHistogram16bit(fi, frame);
break;
}
if (check == false)
{
return;
}
//Load array to Chart
if (LoadChart == true)
{
loadHistogramArray(fi);
}
}
private void calculate16bitHistogram(float[] h, TifFileInfo fi, int width, int height)
{
if (fi.sumHistogramChecked[fi.cValue] == false)
{
//histogram of current frame
FrameCalculator FC = new FrameCalculator();
int frame = FC.FrameC(fi, fi.cValue);
int maxVal = ushort.MaxValue + 1;
int[] lut = new int[maxVal];
//convert information to 8 bit
int step = (int)(calculateMaxIntensity(fi, frame) / 256);
GlobalStep16Bit = step;
for (int i = 0, count = 0, val = 0; i < maxVal; i++, count++)
{
if (count >= step)
{
count = 0;
if (val < 255)
{
val++;
}
}
lut[i] = val;
}
//calculate histogram
for (int y = 0; y < height; y++)
{
for (int x = 0; x < width; x++)
{
h[lut[fi.image16bitFilter[frame][y][x]]]++;
}
}
}
else
{
//histogram of all images
int[] input = new int[(int)(fi.imageCount / fi.sizeC)];
float[][] hList = new float[input.Length][];
//check wich frames are from selected color
for (int i = 0, val = fi.cValue; i < input.Length; i++, val += fi.sizeC)
{
input[i] = val;
}
//Find absolute max intensity
ushort[] maxVals = new ushort[input.Length];
Parallel.For(0, input.Length, (i) =>
{
maxVals[i] = calculateMaxIntensity(fi, input[i]);
});
ushort max = 0;
foreach (ushort val in maxVals)
{
if (val > max)
{
max = val;
}
}
int maxVal = ushort.MaxValue + 1;
int[] lut = new int[maxVal];
//convert information to 8 bit
int step = (int)(max / 256);
GlobalStep16Bit = step;
for (int i = 0, count = 0, val = 0; i < maxVal; i++, count++)
{
if (count >= step)
{
count = 0;
if (val < 255)
{
val++;
}
}
lut[i] = val;
}
//calculate histograms for all images
Parallel.For(0, input.Length, (i) =>
{
float[] h1 = new float[NGRAY];
for (int y = 0; y < height; y++)
{
for (int x = 0; x < width; x++)
{
h[lut[fi.image16bitFilter[input[i]][y][x]]]++;
}
}
hList[i] = h1;
});
//sum histograms to one
for (int hInd = 0; hInd < hList.Length; hInd++)
{
for (int i = 0; i < NGRAY; i++)
{
h[i] += hList[hInd][i];
}
}
}
}
private void Kmeans16bit(TifFileInfo fi, int NumberOfColors)
{
int count = 0;
var bgw = new BackgroundWorker();
bgw.WorkerReportsProgress = true;
//Add event for projection here
bgw.DoWork += new DoWorkEventHandler(delegate(Object o, DoWorkEventArgs a)
{
//Check is processed image enabled
if (fi.image16bitFilter == null)
{
fi.image16bitFilter = fi.image16bit;
}
//Calculate active frame
FrameCalculator FC = new FrameCalculator();
int frame = FC.FrameC(fi, fi.cValue);
//find active image data
ushort[][] image = fi.image16bitFilter[frame];
//find first centroids
findFirstCentroids(image, NumberOfColors);
for (int i = 0; i < topColours.Length; i++)
{
previousCluster.Add(topColours[i], new Cluster((float)topColours[i]));
currentCluster.Add(topColours[i], new Cluster((float)topColours[i]));
}
BuildHistogram(fi, frame);
((BackgroundWorker)o).ReportProgress(1);
converged = false;
while (!converged)
{
Iterate();
for (int i = 0, j = 1; j < NumberOfColors; i++, j++)
{
fi.thresholdValues[fi.cValue][j] = (int)Thresholds[i];
}
count++;
((BackgroundWorker)o).ReportProgress(1);
}
((BackgroundWorker)o).ReportProgress(0);
});
bgw.ProgressChanged += new ProgressChangedEventHandler(delegate(Object o, ProgressChangedEventArgs a)
{
if (a.ProgressPercentage == 0)
{
fi.available = true;
IA.FileBrowser.StatusLabel.Text = "Ready";
ClearData();
IA.ReloadImages();
}
else
{
IA.FileBrowser.StatusLabel.Text = "K-means: " + count.ToString() + " iterations...";
}
});
//Start background worker
IA.FileBrowser.StatusLabel.Text = "K-means: Building Histogram...";
//start bgw
bgw.RunWorkerAsync();
}