/// <summary>
/// Componentwise rigid registration.
/// Each corresponding masked components will be registrated discretly.
/// Transformation parameters will be composed befor image is transformed.
/// </summary>
/// <param name="fixedMask">reference mask</param>
/// <param name="movingMask">template mask</param>
/// <param name="v">number of corresponding components</param>
/// <param name="filename">moving image filename</param>
/// <returns></returns>
private List <sitk.VectorOfParameterMap> ComponentWiseRigidRegistration(sitk.Image fixedMask, sitk.Image movingMask, int v, string filename)
{
// convert from sitk to opencv
var fixedImage = ReadWriteUtils.ConvertSitkImageToOpenCv <Gray, byte>(fixedMask);
var movingImage = ReadWriteUtils.ConvertSitkImageToOpenCv <Gray, byte>(movingMask);
// find contours
VectorOfVectorOfPoint contoursFixed = new VectorOfVectorOfPoint();
VectorOfVectorOfPoint contoursMoving = new VectorOfVectorOfPoint();
CvInvoke.FindContours(fixedImage, contoursFixed, null, Emgu.CV.CvEnum.RetrType.Ccomp, Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxSimple);
CvInvoke.FindContours(movingImage, contoursMoving, null, Emgu.CV.CvEnum.RetrType.Ccomp, Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxSimple);
// retireve dict with contour index and area size ordered by size
var contoursFixedDict = RegistrationUtils.GetContourAreaDict(ref contoursFixed).OrderByDescending(it => it.Value);
var contoursMovingDict = RegistrationUtils.GetContourAreaDict(ref contoursMoving).OrderByDescending(it => it.Value);
List <Tuple <string, string> > filenameOfMaskComponents = new List <Tuple <string, string> >();
for (int i = 1; i < v; i++)
{
var contourFixed = contoursFixed[contoursFixedDict.ElementAt(i).Key].ToArray();
var contourMoving = contoursMoving[contoursMovingDict.ElementAt(i).Key].ToArray();
Image <Gray, byte> maskFixed = new Image <Gray, byte>(fixedImage.Width, fixedImage.Height, new Gray(0.0));
Image <Gray, byte> maskMoving = new Image <Gray, byte>(movingImage.Width, movingImage.Height, new Gray(0.0));
maskFixed.Draw(contourFixed, new Gray(255.0), -1);
maskMoving.Draw(contourMoving, new Gray(255.0), -1);
//CvInvoke.DrawContours(maskFixed, contourFixed, -1, new MCvScalar(255.0), thickness: -1);
//CvInvoke.DrawContours(maskMoving, contourMoving, -1, new MCvScalar(255.0), thickness: -1);
string filenameFixed = Path.GetTempPath() + "\\fixed_0" + i + ".png";
string filenameMoving = Path.GetTempPath() + "\\moving_0" + i + ".png";
maskFixed.Save(filenameFixed);
maskMoving.Save(filenameMoving);
Tuple <string, string> temp = new Tuple <string, string>(filenameFixed, filenameMoving);
filenameOfMaskComponents.Add(temp);
}
sitk.ParameterMap map = RegistrationUtils.GetDefaultParameterMap(_parameters.RegistrationDefaultParams);
List <sitk.VectorOfParameterMap> list = new List <sitk.VectorOfParameterMap>();
foreach (Tuple <string, string> tuple in filenameOfMaskComponents)
{
sitk.Image img01 = ReadWriteUtils.ReadITKImageFromFile(tuple.Item1, sitk.PixelIDValueEnum.sitkUInt8);
sitk.Image img02 = ReadWriteUtils.ReadITKImageFromFile(tuple.Item2, sitk.PixelIDValueEnum.sitkUInt8);
_parameters.ParamMapToUse = map;
RigidRegistration reg = new RigidRegistration(img01, img02, _parameters);
reg.Execute();
sitk.VectorOfParameterMap toAdd = new sitk.VectorOfParameterMap(reg.GetTransformationParameterMap());
list.Add(toAdd);
reg.Dispose();
}
return(list);
}