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GetTransformationParameters Method
See Also  Example
Leadtools.ImageProcessing.Core Namespace > CoreUtilities Class : GetTransformationParameters Method



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.
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.

Syntax

Visual Basic (Declaration) 
Public Shared Function GetTransformationParameters( _
   ByVal image As RasterImage, _
   ByVal referencePoints() As Point, _
   ByVal transformedPoints() As Point _
) As TransformationParameters
Visual Basic (Usage)Copy Code
Dim image As RasterImage
Dim referencePoints() As Point
Dim transformedPoints() As Point
Dim value As TransformationParameters
 
value = CoreUtilities.GetTransformationParameters(image, referencePoints, transformedPoints)
C# 
public static TransformationParameters GetTransformationParameters( 
   RasterImage image,
   Point[] referencePoints,
   Point[] transformedPoints
)
C++/CLI 
public:
static TransformationParameters GetTransformationParameters( 
   RasterImage image,
   array<Point>^ referencePoints,
   array<Point>^ 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

TransformationParameters

Example

This example computes the translation parameters. The example makes the assumption that you have saved the position of the registration marks of the reference image in a file. You should modify this example and replace the manual assignment of the rmData with your own code to load the reference registration mark data before testing this example.

Visual BasicCopy Code
Public Sub GetTransformationParametersExample()
   RasterCodecs.Startup()
   Dim codecs As New RasterCodecs()
   codecs.ThrowExceptionsOnInvalidImages = True

   Dim leadImage As RasterImage = codecs.Load(LeadtoolsExamples.Common.ImagesPath.Path + "Master.jpg")

   ' Prepare the command
   Dim rmData(2) As SearchRegistrationMarksCommandData
   ' Mark1
   rmData(0) = New SearchRegistrationMarksCommandData
   rmData(0).Rectangle = New Rectangle(680, 20, 941 - 680, 218 - 20)
   Dim pt0(0) As Point
   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 Rectangle(665, 790, 899 - 665, 961 - 790)
   Dim pt1(0) As Point
   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 Rectangle(7, 1073, 298 - 7, 1246 - 1073)
   Dim pt2(0) As Point
   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 Point = _
   { _
      New Point(81400, 11300), _
      New Point(78600, 87400), _
      New Point(14300, 115400) _
   }

   Dim detected() As Point = _
   { _
      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 Point = 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)

   RasterCodecs.Shutdown()
End Sub
C#Copy Code
public void GetTransformationParametersExample() 

   // Load an image 
   RasterCodecs.Startup(); 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
 
   RasterImage image = codecs.Load(LeadtoolsExamples.Common.ImagesPath.Path + "Master.jpg"); 
 
   // Prepare the command 
   SearchRegistrationMarksCommandData[] rmData = new SearchRegistrationMarksCommandData[3]; 
 
   //Mark1 
   rmData[0] = new SearchRegistrationMarksCommandData(); 
   rmData[0].Rectangle = new Rectangle(680, 20, 941 - 680, 218 - 20); 
   rmData[0].MarkDetectedPoints = new Point[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 Rectangle(665, 790, 899 - 665, 961 - 790); 
   rmData[1].MarkDetectedPoints = new Point[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 Rectangle(7, 1073, 298 - 7, 1246 - 1073); 
   rmData[2].MarkDetectedPoints = new Point[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; 
 
   Point[] original = 
   { 
      new Point(81400, 11300), 
      new Point(78600, 87400), 
      new Point(14300, 115400) 
   }; 
 
   Point[] 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 
   Point[] 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); 
 
   RasterCodecs.Shutdown(); 
}

Remarks

  • This method detects transformation parameters of the transformed image by comparing it with the reference image. The number of reference and detected points must be three.
  • Use GetRegistrationMarksCenterMass to fill the referencePoints array with the points representing the center of masses for each of the reference marks from the reference image.
  • Fill the transformedPoints array by performing the following steps:

  • The properties of TransformationParameters which are: XTranslation, YTranslation, Angle, XScale and YScale are internally divided by 100. For example, an Angle of 500 would mean to rotate the image 5 degrees clockwise.
  • The results of this method must be sent without any modification to the ApplyTransformationParameters method in order to correct the image.
  • If you want to correct the image yourself, you have to perform the inverse operations in this order:

  • If you simply want to automatically straighten the image, use the DeskewCommand.
  • This method supports 12 and 16-bit grayscale and 48 and 64-bit color images. Support for 12 and 16-bit grayscale and 48 and 64-bit color images is available only in the Document/Medical toolkits.
  • This command does not support signed images.
For more information, refer to Detecting Registration Marks.

Requirements

Target Platforms: Microsoft .NET Framework 2.0, Windows 98, Windows NT 4.0, Windows Millennium Edition, Windows 2000, Windows XP Home Edition, Windows XP Professional, Windows Server 2003 family

See Also