GetTransformationParameters Method

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

C#
Visual Basic
WinRT C#
Objective-C
Java
WinRT JavaScript
C++

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
)

+ (LTTransformationParameters*)getTransformationParameters:(LTRasterImage*)image 
                                           referencePoints:(NSArray*)referencePoints 
                                         transformedPoints:(NSArray*)transformedPoints 
                                                     error:(NSError**)outError;

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

TransformationParameters

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:
- Use SearchRegistrationMarksCommand to find the new positions for the reference marks.
- Using GetRegistrationMarksCenterMass to fill the transformedPoints array with points representing the center of masses for each of the transformed reference marks.
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:
- Shift the image by (-TransformationParameters.XTranslation / 100, -TransformationParameters.YTranslation / 100) using Leadtools.ImageProcessing.Effects.CombineCommand
- Rotate without resizing by - (TransformationParameters.Angle)
- Resize using scaling factors of (100 / TransformationParameters.XScale, 100 / TransformationParameters.YScale) using Leadtools.ImageProcessing.SizeCommand or Leadtools.ImageProcessing.ResizeCommand.
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.

Example

C#
Visual Basic
WinRT C#
WinRT JavaScript
Silverlight C#
Silverlight VB

Copy Code

Imports Leadtools
Imports Leadtools.Codecs
Imports Leadtools.ImageProcessing.Core

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

using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Core;

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";
}

//   
//   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);

//   }
//

using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Core;

      
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

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