LEADTOOLS Image Processing (Leadtools.ImageProcessing.Core assembly)
LEAD Technologies, Inc

GetTransformationParameters Method

Example 





RasterImage object that references the transformed image.
Pointer to an array of reference points. These points represent the center of mass points for the registration marks in the reference image. You have to provide this information.
Pointer to an array of transformed points. These points are the center of mass points in the image. You have to provide this information.
Computes the rotation angle, XY scaling, and XY translation of the transformed image with comparison to the reference image. These are the transformations that would have to be performed to the reference image to have it match the current image. This method is available in the Document/Medical Toolkits. .NET support WinRT support
Syntax
public static TransformationParameters GetTransformationParameters( 
   RasterImage image,
   LeadPoint[] referencePoints,
   LeadPoint[] transformedPoints
)
'Declaration
 
Public Shared Function GetTransformationParameters( _
   ByVal image As RasterImage, _
   ByVal referencePoints() As LeadPoint, _
   ByVal transformedPoints() As LeadPoint _
) As TransformationParameters
'Usage
 
Dim image As RasterImage
Dim referencePoints() As LeadPoint
Dim transformedPoints() As LeadPoint
Dim value As TransformationParameters
 
value = CoreUtilities.GetTransformationParameters(image, referencePoints, transformedPoints)
public static TransformationParameters GetTransformationParameters( 
   RasterImage image,
   LeadPoint[] referencePoints,
   LeadPoint[] transformedPoints
)
 function Leadtools.ImageProcessing.Core.CoreUtilities.GetTransformationParameters( 
   image ,
   referencePoints ,
   transformedPoints 
)
public:
static TransformationParameters GetTransformationParameters( 
   RasterImage^ image,
   array<LeadPoint>^ referencePoints,
   array<LeadPoint>^ transformedPoints
) 

Parameters

image
RasterImage object that references the transformed image.
referencePoints
Pointer to an array of reference points. These points represent the center of mass points for the registration marks in the reference image. You have to provide this information.
transformedPoints
Pointer to an array of transformed points. These points are the center of mass points in the image. You have to provide this information.

Return Value

Remarks
For more information, refer to Detecting Registration Marks.
Example
 
Public Sub GetTransformationParametersExample()
   Dim codecs As New RasterCodecs()
   codecs.ThrowExceptionsOnInvalidImages = True

   Dim leadImage As RasterImage = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "Master.jpg"))

   ' Prepare the command
   Dim rmData(2) As SearchRegistrationMarksCommandData
   ' Mark1
   rmData(0) = New SearchRegistrationMarksCommandData
   rmData(0).Rectangle = New LeadRect(680, 20, 941 - 680, 218 - 20)
   Dim pt0(0) As LeadPoint
   rmData(0).MarkDetectedPoints = pt0
   rmData(0).Width = 31
   rmData(0).Height = 29
   rmData(0).Type = RegistrationMarkCommandType.TShape
   rmData(0).MinimumScale = 90
   rmData(0).MaximumScale = 110
   rmData(0).SearchMarkCount = 1

   ' Mark2
   rmData(1) = New SearchRegistrationMarksCommandData
   rmData(1).Rectangle = New LeadRect(665, 790, 899 - 665, 961 - 790)
   Dim pt1(0) As LeadPoint
   rmData(1).MarkDetectedPoints = pt1
   rmData(1).Width = 31
   rmData(1).Height = 29
   rmData(1).Type = RegistrationMarkCommandType.TShape
   rmData(1).MinimumScale = 90
   rmData(1).MaximumScale = 110
   rmData(1).SearchMarkCount = 1

   ' Mark3
   rmData(2) = New SearchRegistrationMarksCommandData
   rmData(2).Rectangle = New LeadRect(7, 1073, 298 - 7, 1246 - 1073)
   Dim pt2(0) As LeadPoint
   rmData(2).MarkDetectedPoints = pt2
   rmData(2).Width = 31
   rmData(2).Height = 29
   rmData(2).Type = RegistrationMarkCommandType.TShape
   rmData(2).MinimumScale = 90
   rmData(2).MaximumScale = 110
   rmData(2).SearchMarkCount = 1
   Dim command1 As New SearchRegistrationMarksCommand(rmData)
   command1.Run(leadImage)

   If ((rmData(2).MarkDetectedCount <> 1) OrElse (rmData(1).MarkDetectedCount <> 1) OrElse (rmData(0).MarkDetectedCount <> 1)) Then
      Return
   End If

   Dim original() As LeadPoint = _
   { _
      New LeadPoint(81400, 11300), _
      New LeadPoint(78600, 87400), _
      New LeadPoint(14300, 115400) _
   }

   Dim detected() As LeadPoint = _
   { _
      rmData(0).MarkDetectedPoints(0), _
      rmData(1).MarkDetectedPoints(0), _
      rmData(2).MarkDetectedPoints(0) _
   }

   ' Find center of mass for detected registration marks in the transformed image
   Dim transformed() As LeadPoint = CoreUtilities.GetRegistrationMarksCenterMass(leadImage, detected)
   ' Find transformation parameters
   Dim parameters As TransformationParameters = CoreUtilities.GetTransformationParameters(leadImage, original, transformed)
   ' Apply transformatin parameters to correct the image
   Dim applyCommand As New ApplyTransformationParametersCommand(parameters.XTranslation, parameters.YTranslation, parameters.Angle, parameters.XScale, parameters.YScale, ApplyTransformationParametersCommandFlags.Normal)

   applyCommand.Run(leadImage)

End Sub

Public NotInheritable Class LEAD_VARS
   Public Const ImagesDir As String = "C:\Users\Public\Documents\LEADTOOLS Images"
End Class
public void GetTransformationParametersExample()
   {
      // Load an image
      RasterCodecs codecs = new RasterCodecs();
      codecs.ThrowExceptionsOnInvalidImages = true;

      RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "Master.jpg"));

      // Prepare the command
      SearchRegistrationMarksCommandData[] rmData = new SearchRegistrationMarksCommandData[3];

      //Mark1
      rmData[0] = new SearchRegistrationMarksCommandData();
      rmData[0].Rectangle = new LeadRect(680, 20, 941 - 680, 218 - 20);
      rmData[0].MarkDetectedPoints = new LeadPoint[1];
      rmData[0].Width = 31;
      rmData[0].Height = 29;
      rmData[0].Type = RegistrationMarkCommandType.TShape;
      rmData[0].MinimumScale = 90;
      rmData[0].MaximumScale = 110;
      rmData[0].SearchMarkCount = 1;

      //Mark2
      rmData[1] = new SearchRegistrationMarksCommandData();
      rmData[1].Rectangle = new LeadRect(665, 790, 899 - 665, 961 - 790);
      rmData[1].MarkDetectedPoints = new LeadPoint[1];
      rmData[1].Width = 31;
      rmData[1].Height = 29;
      rmData[1].Type = RegistrationMarkCommandType.TShape;
      rmData[1].MinimumScale = 90;
      rmData[1].MaximumScale = 110;
      rmData[1].SearchMarkCount = 1;

      //Mark3
      rmData[2] = new SearchRegistrationMarksCommandData();
      rmData[2].Rectangle = new LeadRect(7, 1073, 298 - 7, 1246 - 1073);
      rmData[2].MarkDetectedPoints = new LeadPoint[1];
      rmData[2].Width = 31;
      rmData[2].Height = 29;
      rmData[2].Type = RegistrationMarkCommandType.TShape;
      rmData[2].MinimumScale = 90;
      rmData[2].MaximumScale = 110;
      rmData[2].SearchMarkCount = 1;
      SearchRegistrationMarksCommand command1 = new SearchRegistrationMarksCommand(rmData);
      command1.Run(image);
      if ((rmData[2].MarkDetectedCount != 1) || (rmData[1].MarkDetectedCount != 1) || (rmData[0].MarkDetectedCount != 1))
         return;

      LeadPoint[] original =
      {
         new LeadPoint(81400, 11300),
         new LeadPoint(78600, 87400),
         new LeadPoint(14300, 115400)
      };

      LeadPoint[] detected =
      {
         rmData[0].MarkDetectedPoints[0],
         rmData[1].MarkDetectedPoints[0],
         rmData[2].MarkDetectedPoints[0]
      };

      //Find center of mass for detected registration marks in the transformed image
      LeadPoint[] transformed = CoreUtilities.GetRegistrationMarksCenterMass(image, detected);
      //Find transformation parameters
      TransformationParameters parameters = CoreUtilities.GetTransformationParameters(image, original, transformed);
      //Apply transformation parameters to correct the image
      ApplyTransformationParametersCommand applyCommand = new ApplyTransformationParametersCommand(parameters.XTranslation, parameters.YTranslation, parameters.Angle, parameters.XScale, parameters.YScale, ApplyTransformationParametersCommandFlags.Normal);
      applyCommand.Run(image);

   }

static class LEAD_VARS
{
   public const string ImagesDir = @"C:\Users\Public\Documents\LEADTOOLS Images";
}
//   [TestMethod]
//   public async Task GetTransformationParametersExample()
//   {
//      // Load an image
//      RasterCodecs codecs = new RasterCodecs();
//      codecs.ThrowExceptionsOnInvalidImages = true;

//      // Load the image
//      string srcFileName = @"Assets\Image1.cmp";
//      StorageFile loadFile = await Tools.AppInstallFolder.GetFileAsync(srcFileName);
//      RasterImage image = await codecs.LoadAsync(LeadStreamFactory.Create(loadFile));

//      // Prepare the command
//      SearchRegistrationMarksCommandData[] rmData = new SearchRegistrationMarksCommandData[3];

//      //Mark1
//      rmData[0] = new SearchRegistrationMarksCommandData();
//      rmData[0].Rectangle = LeadRectHelper.Create(680, 20, 941 - 680, 218 - 20);
//      rmData[0].MarkDetectedPoints = new LeadPoint[1];
//      rmData[0].Width = 31;
//      rmData[0].Height = 29;
//      rmData[0].Type = RegistrationMarkCommandType.TShape;
//      rmData[0].MinimumScale = 90;
//      rmData[0].MaximumScale = 110;
//      rmData[0].SearchMarkCount = 1;

//      //Mark2
//      rmData[1] = new SearchRegistrationMarksCommandData();
//      rmData[1].Rectangle = LeadRectHelper.Create(665, 790, 899 - 665, 961 - 790);
//      rmData[1].MarkDetectedPoints = new LeadPoint[1];
//      rmData[1].Width = 31;
//      rmData[1].Height = 29;
//      rmData[1].Type = RegistrationMarkCommandType.TShape;
//      rmData[1].MinimumScale = 90;
//      rmData[1].MaximumScale = 110;
//      rmData[1].SearchMarkCount = 1;

//      //Mark3
//      rmData[2] = new SearchRegistrationMarksCommandData();
//      rmData[2].Rectangle = LeadRectHelper.Create(7, 1073, 298 - 7, 1246 - 1073);
//      rmData[2].MarkDetectedPoints = new LeadPoint[1];
//      rmData[2].Width = 31;
//      rmData[2].Height = 29;
//      rmData[2].Type = RegistrationMarkCommandType.TShape;
//      rmData[2].MinimumScale = 90;
//      rmData[2].MaximumScale = 110;
//      rmData[2].SearchMarkCount = 1;
//      SearchRegistrationMarksCommand command1 = new SearchRegistrationMarksCommand(rmData);
//      command1.Run(image);
//      if ((rmData[2].MarkDetectedCount != 1) || (rmData[1].MarkDetectedCount != 1) || (rmData[0].MarkDetectedCount != 1))
//         return;

//      LeadPoint[] original =
//      {
//         LeadPointHelper.Create(81400, 11300),
//         LeadPointHelper.Create(78600, 87400),
//         LeadPointHelper.Create(14300, 115400)
//      };

//      LeadPoint[] detected =
//      {
//         rmData[0].MarkDetectedPoints[0],
//         rmData[1].MarkDetectedPoints[0],
//         rmData[2].MarkDetectedPoints[0]
//      };

//      //Find center of mass for detected registration marks in the transformed image
//      LeadPoint[] transformed = CoreUtilities.GetRegistrationMarksCenterMass(image, detected);
//      //Find transformation parameters
//      TransformationParameters parameters = CoreUtilities.GetTransformationParameters(image, original, transformed);
//      //Apply transformation parameters to correct the image
//      ApplyTransformationParametersCommand applyCommand = new ApplyTransformationParametersCommand(parameters.XTranslation, parameters.YTranslation, parameters.Angle, parameters.XScale, parameters.YScale, ApplyTransformationParametersCommandFlags.Normal);
//      applyCommand.Run(image);

//   }
//
[TestMethod]
public async Task GetTransformationParametersExample()
{
   // Load an image
   RasterCodecs codecs = new RasterCodecs();
   codecs.ThrowExceptionsOnInvalidImages = true;
   // Load the image
   string srcFileName = @"Assets\Image1.cmp";
   StorageFile loadFile = await Tools.AppInstallFolder.GetFileAsync(srcFileName);
   RasterImage image = await codecs.LoadAsync(LeadStreamFactory.Create(loadFile));

   // Prepare the command
   SearchRegistrationMarksCommandData[] rmData = new SearchRegistrationMarksCommandData[3];

   //Mark1
   rmData[0] = new SearchRegistrationMarksCommandData();
   rmData[0].Rectangle = LeadRectHelper.Create(680, 20, 941 - 680, 218 - 20);
   rmData[0].MarkDetectedPoints = new LeadPoint[1];
   rmData[0].Width = 31;
   rmData[0].Height = 29;
   rmData[0].Type = RegistrationMarkCommandType.TShape;
   rmData[0].MinimumScale = 90;
   rmData[0].MaximumScale = 110;
   rmData[0].SearchMarkCount = 1;

   //Mark2
   rmData[1] = new SearchRegistrationMarksCommandData();
   rmData[1].Rectangle = LeadRectHelper.Create(665, 790, 899 - 665, 961 - 790);
   rmData[1].MarkDetectedPoints = new LeadPoint[1];
   rmData[1].Width = 31;
   rmData[1].Height = 29;
   rmData[1].Type = RegistrationMarkCommandType.TShape;
   rmData[1].MinimumScale = 90;
   rmData[1].MaximumScale = 110;
   rmData[1].SearchMarkCount = 1;

   //Mark3
   rmData[2] = new SearchRegistrationMarksCommandData();
   rmData[2].Rectangle = LeadRectHelper.Create(7, 1073, 298 - 7, 1246 - 1073);
   rmData[2].MarkDetectedPoints = new LeadPoint[1];
   rmData[2].Width = 31;
   rmData[2].Height = 29;
   rmData[2].Type = RegistrationMarkCommandType.TShape;
   rmData[2].MinimumScale = 90;
   rmData[2].MaximumScale = 110;
   rmData[2].SearchMarkCount = 1;
   SearchRegistrationMarksCommand command1 = new SearchRegistrationMarksCommand(rmData);
   command1.Run(image);
   if ((rmData[2].MarkDetectedCount != 1) || (rmData[1].MarkDetectedCount != 1) || (rmData[0].MarkDetectedCount != 1))
      return;

   LeadPoint[] original =
   {
      LeadPointHelper.Create(81400, 11300),
      LeadPointHelper.Create(78600, 87400),
      LeadPointHelper.Create(14300, 115400)
   };

   LeadPoint[] detected =
   {
      rmData[0].MarkDetectedPoints[0],
      rmData[1].MarkDetectedPoints[0],
      rmData[2].MarkDetectedPoints[0]
   };

   //Find center of mass for detected registration marks in the transformed image
   LeadPoint[] transformed = CoreUtilities.GetRegistrationMarksCenterMass(image, detected);
   //Find transformation parameters
   TransformationParameters parameters = CoreUtilities.GetTransformationParameters(image, original, transformed);
   //Apply transformation parameters to correct the image
   ApplyTransformationParametersCommand applyCommand = new ApplyTransformationParametersCommand(parameters.XTranslation, parameters.YTranslation, parameters.Angle, parameters.XScale, parameters.YScale, ApplyTransformationParametersCommandFlags.Normal);
   applyCommand.Run(image);

}
Requirements

Target Platforms: Windows 7, Windows Vista SP1 or later, Windows XP SP3, Windows Server 2008 (Server Core not supported), Windows Server 2008 R2 (Server Core supported with SP1 or later), Windows Server 2003 SP2

See Also

Reference

CoreUtilities Class
CoreUtilities Members
Detecting Registration Marks
Leadtools.ImageProcessing.Effects.CombineCommand
Leadtools.ImageProcessing.RotateCommand
Leadtools.ImageProcessing.SizeCommand
Leadtools.ImageProcessing.ResizeCommand
IsRegistrationMark Method
SearchRegistrationMarksCommand Class
GetRegistrationMarksCenterMass Method

 

 


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