public static Bitmap TileWiseHoughTransform(Bitmap sourceImage)
{
sourceImage = ImageTools.ApplyInvert(sourceImage);
sourceImage.Save(@"C:\SensorNetworks\Output\Sonograms\TestSourceImage.png");
int numberOfDirections = 16;
bool saveTranformImage = true;
int tileWidth = 33, tileHeight = 33;
double thresholdIntensity = 2.0;
//this filter converts standard pixel format to indexed as used by the hough transform
var filter = Grayscale.CommonAlgorithms.BT709;
int rowCount = sourceImage.Height;
int colCount = sourceImage.Width;
int xDirectionTileCount = colCount / tileWidth;
int yDirectionTileCount = rowCount / tileHeight;
Bitmap returnBmp = new Bitmap(sourceImage);
Graphics g = Graphics.FromImage(returnBmp);
for (int r = 0; r < yDirectionTileCount; r++)
{
for (int c = 0; c < xDirectionTileCount; c++)
{
int x = c * tileWidth;
int y = r * tileHeight;
Rectangle cropArea = new Rectangle(x, y, tileWidth, tileHeight);
Bitmap tile = sourceImage.Clone(cropArea, sourceImage.PixelFormat);
tile.Save(@"C:\SensorNetworks\Output\Sonograms\TestTile.png");
ImageTools.ApplyInvert(tile);
// create and apply filter to convert to indexed color format.
double[,] rtMatrix = DoHoughTransform(filter.Apply(tile), numberOfDirections, saveTranformImage);
Bitmap tile2 = AddRTmatrix2Image(rtMatrix, thresholdIntensity, tile);
//Bitmap tile2 = HoughTransform.ConvertRTmatrix2Image(rtMatrix, thresholdIntensity, tileWidth);
g.DrawImage(tile2, x, y);
tile2.Save(@"C:\SensorNetworks\Output\Sonograms\TestTile2.png");
}
}
return(returnBmp);
} // TileWiseHoughTransform(Bitmap sourceImage)