public void ScaleWithGuassianSampler_CanScaleAnImageCorrectly()
{
var pgmImage = PgmService.Read(Resources.chairs);
var scaledImage = _imageScaler.ScaleWithGuassianSampler(pgmImage, ScaleFactor, SigmaScaleFactor);
var newPgmImage = PgmService.Write(scaledImage);
var path = Path.Combine(Directory.GetCurrentDirectory(), $"ImageScalerTest-{Guid.NewGuid()}.pgm");
File.WriteAllBytes(path, newPgmImage);
}
public void LoadTest()
{
var pgmImage = PgmService.Read(Resources.chairs);
var stopWatch = new Stopwatch();
stopWatch.Start();
const int numberOfRuns = 20;
for (var i = 0; i < numberOfRuns; i++)
{
_imageScaler.ScaleWithGuassianSampler(pgmImage, ScaleFactor, SigmaScaleFactor);
}
stopWatch.Stop();
var perSecond = numberOfRuns / (stopWatch.ElapsedMilliseconds / 1000);
Console.WriteLine($"Took {stopWatch.ElapsedMilliseconds}ms, running at {perSecond} scalings per second");
}
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);
}