public static StatisticsResult GenerateStatistics(ManualContourDTO contour)
{
System.Drawing.Bitmap bitmap = OrthancConnection.GetBitmapByInstanceId(contour.dicomid);
int width = bitmap.Width;
int height = bitmap.Height;
int[,] matrixWithContour = CannyAlgorithm.MakeMatrixFromPoints(width, height, contour.lines.First().points);
int count = 0;
for (int x = 0; x < width; x++)
{
for (int y = 0; y < height; y++)
{
if (matrixWithContour[x, y] == 0)
{
count++;
}
}
}
int[,] image = CannyAlgorithm.ReadMatrixFromBitmap(bitmap);
double pixelSizeX = 0;
double pixelSizeY = 0;
List <string> splitString = contour.pixelSpacing.Split('\\').ToList();
List <double> split = new List <double>();
foreach (var s in splitString)
{
double d = 0;
if (double.TryParse(s, System.Globalization.NumberStyles.Number, System.Globalization.CultureInfo.InvariantCulture, out d))
{
split.Add(d);
}
}
if (split.Count >= 2)
{
pixelSizeX = split[0];
pixelSizeY = split[1];
}
double pixelAreaInMms = pixelSizeX * pixelSizeY;
double pixelLenghtInMms = pixelSizeX;
return(GenerateStatistics(contour.lines.First().points, matrixWithContour, image, 0, width, 0, height, pixelAreaInMms, pixelLenghtInMms, contour.centralPoints.First()));
}
public static SemiAutomaticPreviewDTO CannyWithoutStatistics(SemiAutomaticPreviewDTO points)
{
List <Point> pixels;
pixels = CannyAlgorithm.CannyWithoutStatistics(points.dicomid, points.lines.First().points, points.width, points.height);
List <LinePointsAndPixels> lines = new List <LinePointsAndPixels>();
LinePointsAndPixels line = new LinePointsAndPixels();
line.points = new List <Point>(points.lines.First().points);
line.pixels = new List <Point>(pixels);
line.brushColor = points.lines.First().brushColor;
lines.Add(line);
SemiAutomaticPreviewDTO contour = new SemiAutomaticPreviewDTO(points.guid,
points.dicomid, points.tag, lines, points.width, points.height, points.pixelSpacing, false);
return(contour);
}
public static SemiAutomaticContourDTO Canny(SemiAutomaticPointsDTO points)
{
List <Point> pixels;
StatisticsResult statisticsResult;
(pixels, statisticsResult) = CannyAlgorithm.Canny(points.dicomid, points.lines.First().points, points.width, points.height,
points.centralPoints, points.pixelSpacing);
List <LinePointsAndPixels> lines = new List <LinePointsAndPixels>();
LinePointsAndPixels line = new LinePointsAndPixels();
line.points = new List <Point>(points.lines.First().points);
line.pixels = new List <Point>(pixels);
line.brushColor = points.lines.First().brushColor;
lines.Add(line);
SemiAutomaticContourDTO contour = new SemiAutomaticContourDTO(points.guid,
points.dicomid, points.tag, lines, points.width, points.height, statisticsResult, points.centralPoints, points.pixelSpacing);
return(contour);
}
public static SemiAutomaticContourDTO TrivialContour(SemiAutomaticPointsDTO points)
{
List <Point> pixels = new List <Point>();
int count = points.lines.First().points.Count;
for (int i = 0; i < points.lines.First().points.Count; i++)
{
int x1 = points.lines.First().points[i].x;
int y1 = points.lines.First().points[i].y;
int x2 = points.lines.First().points[(i + 1) % count].x;
int y2 = points.lines.First().points[(i + 1) % count].y;
List <Point> pixelsBresenham = new List <Point>();
BresenhamClass.Bresenham(pixelsBresenham, x1, y1, x2, y2);
pixels = pixels.Concat(pixelsBresenham).ToList();
}
List <LinePointsAndPixels> lines = new List <LinePointsAndPixels>();
LinePointsAndPixels line = new LinePointsAndPixels();
line.points = new List <Point>(points.lines.First().points);
line.pixels = new List <Point>(pixels);
line.brushColor = points.lines.First().brushColor;
lines.Add(line);
System.Drawing.Bitmap bitmap = OrthancConnection.GetBitmapByInstanceId(points.dicomid);
int[,] matrixWithContour = CannyAlgorithm.MakeMatrixFromPoints(bitmap.Width, bitmap.Height, pixels);
int[,] image = CannyAlgorithm.ReadMatrixFromBitmap(bitmap);
StatisticsResult statisticsResult = Statistics.GenerateStatistics(pixels, matrixWithContour, image, 0, bitmap.Width, 0, bitmap.Height,
0, 0, points.centralPoints.First());
SemiAutomaticContourDTO contour = new SemiAutomaticContourDTO(points.guid,
points.dicomid, points.tag, lines, points.width, points.height, statisticsResult, points.centralPoints, points.pixelSpacing);
return(contour);
}