private static int[] GetSquaredData(IReadOnlyList <int> lung, int width, int height)
{
var squaredLung = new int[SquareNumber];
var squareWidth = width / SquareNumberBorder;
var squareHeight = height / SquareNumberBorder;
FloodFiller.IterateBitmap(SquareNumberBorder, SquareNumberBorder, (y, x) =>
{
// TODO: store in array
//IList<int> averageRgb = new List<int>();
var averageRed = 0;
var averageBlue = 0;
var averageGreen = 0;
for (var h = y * squareHeight; h < (y + 1) * squareHeight; h++)
{
for (var w = x * squareWidth; w < (x + 1) * squareWidth; w++)
{
var color = lung[h * width + w];
averageRed += Color.FromArgb(color).R;
averageBlue += Color.FromArgb(color).B;
averageGreen += Color.FromArgb(color).G;
}
}
averageRed /= squareHeight * squareWidth;
averageBlue /= squareHeight * squareWidth;
averageGreen /= squareHeight * squareWidth;
var averageColor = Color.FromArgb(255, averageRed, averageGreen, averageBlue);
squaredLung[y * SquareNumberBorder + x] = averageColor.ToArgb();
});
return(squaredLung);
}
public int[] Process(int[] data, int width, int height)
{
if (Colors.Count == 0)
{
return(data); // there are two tumors initially
}
Colors.Sort();
return(FloodFiller.FillEverythingExceptColors(data, width, height, Colors, Color.Transparent.ToArgb()));
}
private static int[] GetExpandedSquaredData(IReadOnlyList <int> squaredData, int width, int height)
{
var expandedSquaredData = new int[width * height];
var squareWidth = width / SquareNumberBorder;
var squareHeight = height / SquareNumberBorder;
FloodFiller.IterateBitmap(height, width, (h, w) =>
{
expandedSquaredData[h * width + w] =
squaredData[h / squareHeight * SquareNumberBorder + w / squareWidth];
});
return(expandedSquaredData);
}
private int[] DesquareData(IReadOnlyList <int> originalData, IReadOnlyList <int> noBorder, int width, int height)
{
var lungs = Enumerable.Repeat(Color.Transparent.ToArgb(), originalData.Count).ToArray();
FloodFiller.IterateBitmap(height, width, (h, w) =>
{
if (noBorder[h * width + w] != Color.Transparent.ToArgb())
{
lungs[h * width + w] = originalData[h * width + w];
}
});
return(lungs);
}
public int[] Process(int[] data, int width, int height)
{
var sortedData = new int[data.Length];
data.CopyTo(sortedData, 0);
Array.Sort(sortedData);
var limit = sortedData[Percent * width * height / 100];
IList <Tuple <int, int> > ranges = new List <Tuple <int, int> >
{
new Tuple <int, int>(Color.Black.ToArgb(), limit)
};
FloodFiller.FillRanges(data, width, height, ranges, Color.Transparent.ToArgb());
return(data);
}
public int[] Process(int[] data, int width, int height)
{
var lungs = new int[data.Length];
Array.Copy(data, 0, lungs, 0, data.Length);
var squaredData = GetSquaredData(lungs, width, height);
var expandedSquaredData = GetExpandedSquaredData(squaredData, width, height);
FloodFiller.Percent = 60;
var invertedData = new ImageInverter().Process(expandedSquaredData, width, height);
var noLungs = new FloodFiller().Process(invertedData, width, height);
var finalData = new ImageInverter().Process(noLungs, width, height);
BorderFiller.Delta = 180;
BorderFiller.Percent = 45;
var noBorder = new BorderFiller().Process(finalData, width, height);
var desquaredLungs = DesquareData(data, noBorder, width, height);
return(desquaredLungs);
}