public Tuple <TupleList, Image <int, T> > Run <T>(Image <double, T> image,
double scale = 0.8,
double sigmaScale = 0.6,
double quantizationErrorBound = 2.0,
double angleThreshold = 22.5,
double detectionThreshold = 0.0,
double densityThreshold = 0.7,
int numberOfBins = 1024)
{
return(_errorHandler.Wrap(() =>
{
return _lineSegmentDetectorWrapper.Run(image, scale, sigmaScale, quantizationErrorBound, angleThreshold,
detectionThreshold, densityThreshold, numberOfBins);
}));
}
public void Run_SuccessfullyIdentifiesLineSegments()
{
var pgmImage = PgmService.Read(Resources.chairs);
var result = _lineSegmentDetector.Run(pgmImage);
var lineImage = result.Item2;
// Any non-zero value in the image is a line. Convert this to black and white
// by simply setting the maximum value for all lines.
var outputImage = new Image <double, int>(lineImage.Width, lineImage.Height, 1);
for (var x = 0; x < outputImage.Width; x++)
{
for (var y = 0; y < outputImage.Height; y++)
{
outputImage[x, y] = lineImage[x, y] > 0 ? 1 : 0;
}
}
var newPgmImage = PgmService.Write(outputImage);
var path = Path.Combine(Directory.GetCurrentDirectory(), $"LineSegmentDetectionTest-{Guid.NewGuid()}.pgm");
File.WriteAllBytes(path, newPgmImage);
}