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.
public static TransformationParameters GetTransformationParameters(RasterImage image,LeadPoint[] referencePoints,LeadPoint[] transformedPoints)
Public Shared Function GetTransformationParameters( _ByVal image As RasterImage, _ByVal referencePoints() As LeadPoint, _ByVal transformedPoints() As LeadPoint _) As TransformationParameters
+ (nullable LTTransformationParameters *)getTransformationParameters:(LTRasterImage *)imagereferencePoints:(nullable NSArray<NSValue *> *)referencePoints /*LeadPoint*/transformedPoints:(nullable NSArray<NSValue *> *)transformedPoints /*LeadPoint*/error:(NSError **)error
public static TransformationParameters getTransformationParameters(RasterImage image,LeadPoint[] referencePoints,LeadPoint[] transformedPoints)
public:static TransformationParameters GetTransformationParameters(RasterImage^ image,array<LeadPoint>^ referencePoints,array<LeadPoint>^ transformedPoints)
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.
For more information, refer to Detecting Registration Marks.
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.
using Leadtools;using Leadtools.Codecs;using Leadtools.ImageProcessing;using Leadtools.ImageProcessing.Core;using LeadtoolsExamples.Common;public void GetTransformationParametersExample(){// Load an imageRasterCodecs codecs = new RasterCodecs();codecs.ThrowExceptionsOnInvalidImages = true;RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "RGSRef.cmp"));// Prepare the commandSearchRegistrationMarksCommandData[] rmData = new SearchRegistrationMarksCommandData[3];//Mark1rmData[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;//Mark2rmData[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;//Mark3rmData[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 imageLeadPoint[] transformed = CoreUtilities.GetRegistrationMarksCenterMass(image, detected);//Find transformation parametersTransformationParameters parameters = CoreUtilities.GetTransformationParameters(image, original, transformed);//Apply transformation parameters to correct the imageApplyTransformationParametersCommand 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";}
Imports LeadtoolsImports Leadtools.CodecsImports Leadtools.ImageProcessing.CorePublic Sub GetTransformationParametersExample()Dim codecs As New RasterCodecs()codecs.ThrowExceptionsOnInvalidImages = TrueDim leadImage As RasterImage = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "RGSRef.cmp"))' Prepare the commandDim rmData(2) As SearchRegistrationMarksCommandData' Mark1rmData(0) = New SearchRegistrationMarksCommandDatarmData(0).Rectangle = New LeadRect(680, 20, 941 - 680, 218 - 20)Dim pt0(0) As LeadPointrmData(0).MarkDetectedPoints = pt0rmData(0).Width = 31rmData(0).Height = 29rmData(0).Type = RegistrationMarkCommandType.TShapermData(0).MinimumScale = 90rmData(0).MaximumScale = 110rmData(0).SearchMarkCount = 1' Mark2rmData(1) = New SearchRegistrationMarksCommandDatarmData(1).Rectangle = New LeadRect(665, 790, 899 - 665, 961 - 790)Dim pt1(0) As LeadPointrmData(1).MarkDetectedPoints = pt1rmData(1).Width = 31rmData(1).Height = 29rmData(1).Type = RegistrationMarkCommandType.TShapermData(1).MinimumScale = 90rmData(1).MaximumScale = 110rmData(1).SearchMarkCount = 1' Mark3rmData(2) = New SearchRegistrationMarksCommandDatarmData(2).Rectangle = New LeadRect(7, 1073, 298 - 7, 1246 - 1073)Dim pt2(0) As LeadPointrmData(2).MarkDetectedPoints = pt2rmData(2).Width = 31rmData(2).Height = 29rmData(2).Type = RegistrationMarkCommandType.TShapermData(2).MinimumScale = 90rmData(2).MaximumScale = 110rmData(2).SearchMarkCount = 1Dim command1 As New SearchRegistrationMarksCommand(rmData)command1.Run(leadImage)If ((rmData(2).MarkDetectedCount <> 1) OrElse (rmData(1).MarkDetectedCount <> 1) OrElse (rmData(0).MarkDetectedCount <> 1)) ThenReturnEnd IfDim 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 imageDim transformed() As LeadPoint = CoreUtilities.GetRegistrationMarksCenterMass(leadImage, detected)' Find transformation parametersDim parameters As TransformationParameters = CoreUtilities.GetTransformationParameters(leadImage, original, transformed)' Apply transformatin parameters to correct the imageDim applyCommand As New ApplyTransformationParametersCommand(parameters.XTranslation, parameters.YTranslation,parameters.Angle, parameters.XScale,parameters.YScale, ApplyTransformationParametersCommandFlags.Normal)applyCommand.Run(leadImage)End SubPublic NotInheritable Class LEAD_VARSPublic Const ImagesDir As String = "C:\Users\Public\Documents\LEADTOOLS Images"End Class
Leadtools.ImageProcessing.Effects.CombineCommand
Leadtools.ImageProcessing.RotateCommand
Leadtools.ImageProcessing.SizeCommand
Leadtools.ImageProcessing.ResizeCommand
Help Collections
Raster .NET | C API | C++ Class Library | HTML5 JavaScript
Document .NET | C API | C++ Class Library | HTML5 JavaScript
Medical .NET | C API | C++ Class Library | HTML5 JavaScript
Medical Web Viewer .NET
Multimedia
Direct Show .NET | C API | Filters
Media Foundation .NET | C API | Transforms
Supported Platforms
.NET, Java, Android, and iOS/macOS Assemblies
Imaging, Medical, and Document
C API/C++ Class Libraries
Imaging, Medical, and Document
HTML5 JavaScript Libraries
Imaging, Medical, and Document
