private static IList <double> DiffFusionImages(FusionTestDataContainer data, string testName)
{
var outputPath = new DirectoryInfo(Path.Combine(typeof(FusionLayerCoregistrationTests).FullName, testName));
if (outputPath.Exists)
{
outputPath.Delete(true);
}
outputPath.Create();
using (var log = File.CreateText(Path.Combine(outputPath.FullName, "data.csv")))
{
// if the overlay image is not rendered at all, this coregistration test would pass, but then the color compositing test would fail
using (var referenceDisplaySet = data.CreateBaseDisplaySet())
{
using (var testDisplaySet = data.CreateFusionDisplaySet())
{
var list = new List <double>();
int index = 0;
foreach (var testImage in testDisplaySet.PresentationImages)
{
var referenceImage = referenceDisplaySet.PresentationImages[index];
NormalizePresentationImageDisplay(testImage);
NormalizePresentationImageDisplay(referenceImage);
Bitmap diff;
double result = ImageDiff.Compare(ImageDiffAlgorithm.Euclidian, referenceImage, testImage, out diff);
diff.Save(Path.Combine(outputPath.FullName, string.Format("diff{0:000}.png", index)));
diff.Dispose();
log.WriteLine("{0}, {1:f6}", index, result);
list.Add(result);
++index;
}
return(list);
}
}
}
}
private static IList <double> DiffFusionOperatorResults(IColorMap colorMap, bool thresholding, string testName)
{
var outputPath = new DirectoryInfo(Path.Combine(typeof(FusionColorCompositingTest).FullName, testName));
if (outputPath.Exists)
{
outputPath.Delete(true);
}
outputPath.Create();
// this kind of test requires that the base and overlay slices be unsigned and precisely coincident
using (var data = new FusionTestDataContainer(
() => TestDataFunction.GradientX.CreateSops(false, Modality.CT, new Vector3D(1.0f, 1.0f, 15.0f), Vector3D.xUnit, Vector3D.yUnit, Vector3D.zUnit),
() => TestDataFunction.GradientY.CreateSops(false, Modality.PT, new Vector3D(1.0f, 1.0f, 15.0f), Vector3D.xUnit, Vector3D.yUnit, Vector3D.zUnit)))
{
using (var log = File.CreateText(Path.Combine(outputPath.FullName, "data.csv")))
{
log.WriteLine("{0}, {1}, {2}, {3}", "n", "opacity", "alpha", "diff");
using (var baseDisplaySet = data.CreateBaseDisplaySet())
{
using (var overlayDisplaySet = data.CreateOverlayDisplaySet())
{
using (var fusionDisplaySet = data.CreateFusionDisplaySet())
{
var list = new List <double>();
var imageIndex = fusionDisplaySet.PresentationImages.Count / 2;
var fusionImage = fusionDisplaySet.PresentationImages[imageIndex];
for (int n = 0; n <= 10; n++)
{
var opacity = n / 10f;
SetFusionDisplayParameters(fusionImage, colorMap, opacity, thresholding);
using (IPresentationImage referenceImage =
Fuse(baseDisplaySet.PresentationImages[imageIndex], overlayDisplaySet.PresentationImages[imageIndex], colorMap, opacity, thresholding))
{
using (var referenceBmp = DrawToBitmap(referenceImage))
{
referenceBmp.Save(Path.Combine(outputPath.FullName, string.Format("reference{0}.png", n)));
}
using (var fusionBmp = DrawToBitmap(fusionImage))
{
fusionBmp.Save(Path.Combine(outputPath.FullName, string.Format("test{0}.png", n)));
}
// because the fusion display set is generated from real base images and *reformatted* overlay images,
// there will necessarily be higher differences at the edges of the useful image area
Bitmap diff;
double result = ImageDiff.Compare(ImageDiffAlgorithm.Euclidian, referenceImage, fusionImage, new Rectangle(18, 18, 98, 98), out diff);
diff.Save(Path.Combine(outputPath.FullName, string.Format("diff{0}.png", n)));
diff.Dispose();
log.WriteLine("{0}, {1:f2}, {2}, {3:f6}", n, opacity, (int)(255 * opacity), result);
list.Add(result);
}
}
return(list);
}
}
}
}
}
}