public int[] Process(int[] data, int width, int height)
{
var tumorPixelData = _tumor.GetTumorAsBitsTable();
var random = new Random();
var x = random.Next(0, width - _tumor.Width);
var y = random.Next(0, height - _tumor.Height);
var tumorColor = -(65536 * _tumor.Color + 256 * _tumor.Color + _tumor.Color);
var tumorHeight = 0;
for (var h = y; h < y + _tumor.Height; h++)
{
var tumorWidth = 0;
for (var w = x; w < x + _tumor.Width; w++)
{
if (tumorPixelData[tumorHeight * _tumor.Width + tumorWidth] == tumorColor)
{
data[h * width + w] = tumorColor;
}
tumorWidth++;
}
tumorHeight++;
}
return(data);
}
public int[] Process(int[] data, int width, int height)
{
var tumorPixelData = _tumor.GetTumorAsBitsTable();
var potentialPointsPixelData = _potentialPoints;
var x = 0;
var y = 0;
// populate lists
var xList = Enumerable.Range(0, width - _tumor.Width).ToList();
var yList = Enumerable.Range(0, height - _tumor.Height).ToList();
var random = new Random();
do
{
xList.Remove(x);
yList.Remove(y);
var randomXIndex = random.Next(xList.Count);
var randomYIndex = random.Next(yList.Count);
x = xList[randomXIndex];
y = yList[randomYIndex];
} while (potentialPointsPixelData[y * width + x] == 0 && xList.Count > 1 && yList.Count > 1);
var tumorColor = -(65536 * _tumor.Color + 256 * _tumor.Color + _tumor.Color);
var tumorHeight = 0;
for (var h = y; h < y + _tumor.Height; h++)
{
var tumorWidth = 0;
for (var w = x; w < x + _tumor.Width; w++)
{
if (tumorPixelData[tumorHeight * _tumor.Width + tumorWidth] == tumorColor)
{
data[h * width + w] = tumorColor;
}
tumorWidth++;
}
tumorHeight++;
}
return(data);
}
private static int CountPixelsForTumor(Tumor tumor)
{
var pixelCounter = 0;
var tumorPixelData = tumor.GetTumorAsBitsTable();
for (var h = 0; h < tumor.Height; h++)
{
for (var w = 0; w < tumor.Width; w++)
{
if (tumorPixelData[h * tumor.Width + w] == tumor.ComputedColor)
{
pixelCounter++;
}
}
}
return(pixelCounter);
}
