CorrelationCommand Constructor(RasterImage,LeadPoint[],Int32,Int32,Int32)

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

public CorrelationCommand( 
   RasterImage correlationImage,
   LeadPoint[] points,
   int xStep,
   int yStep,
   int threshold
)

'Declaration
 
Public Function New( _
   ByVal correlationImage As RasterImage, _
   ByVal points() As LeadPoint, _
   ByVal xStep As Integer, _
   ByVal yStep As Integer, _
   ByVal threshold As Integer _
)

'Usage
 
Dim correlationImage As RasterImage
Dim points() As LeadPoint
Dim xStep As Integer
Dim yStep As Integer
Dim threshold As Integer
 
Dim instance As New CorrelationCommand(correlationImage, points, xStep, yStep, threshold)

public CorrelationCommand( 
   RasterImage correlationImage,
   LeadPoint[] points,
   int xStep,
   int yStep,
   int threshold
)

- (id)initWithCorrelationImage:(LTRasterImage*)correlationImage 
                        points:(LeadPoint*)points 
                   pointsCount:(unsigned int)pointsCount 
                         xStep:(unsigned int)xStep 
                         yStep:(unsigned int)yStep 
                     threshold:(unsigned int)threshold;

public CorrelationCommand(
   RasterImage correlationImage, 
   LeadPoint[] points, 
   int xStep, 
   int yStep, 
   int threshold
)

function CorrelationCommand( 
   correlationImage ,
   points ,
   xStep ,
   yStep ,
   threshold 
)

public:
CorrelationCommand( 
   RasterImage^ correlationImage,
   array<LeadPoint>^ points,
   int xStep,
   int yStep,
   int threshold
)

Parameters

correlationImage: RasterImage object that references the image for which to search.
points: An array of Leadtools.LeadPoint structures. This array will be updated with the starting points for the correlated areas.
xStep: Step size in the X direction (along image width), in pixels. For best results, use 1. This parameter accepts only positive values.
yStep: Step size in the Y direction (along image height), in pixels. For best results, use 1. This parameter accepts only positive values.
threshold: Value that indicates the correlation threshold, which is a measure of association required to consider two areas to be correlated. If the correlation value between correlationImage and an area in the image to be searched (the Run method image) is less than the correlation threshold they are uncorrelated. Valid values range from 0 (zero resemblance) to 100 (perfect resemblance).

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

Copy Code

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

Public Sub CorrelationConstructorExample()
   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 points() As LeadPoint
   ReDim points(89)

   Dim DstImage As RasterImage = leadImage.Clone()
   Dim command As CorrelationCommand = New CorrelationCommand(DstImage, points, 1, 1, 70)
   ' Apply the correlation filter.
   command.Run(leadImage)

   MessageBox.Show("The number of points are:" & command.NumberOfPoints.ToString())

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 CorrelationConstructorExample()
{
   // Load an image
   RasterCodecs codecs = new RasterCodecs();
   codecs.ThrowExceptionsOnInvalidImages = true;

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

   // Prepare the command
   RasterImage dstImage = image.Clone();
   LeadPoint[] points = new LeadPoint[90];

   CorrelationCommand command = new CorrelationCommand(dstImage, points, 1, 1, 70);
   // Apply the correlation filter.
   command.Run(image);

   MessageBox.Show("The number of points are:" + command.NumberOfPoints.ToString());

}

static class LEAD_VARS
{
public const string ImagesDir = @"C:\Users\Public\Documents\LEADTOOLS Images";
}

function CorrelationConstructorExample()
{
   var codecs = new Leadtools.Codecs.RasterCodecs();
   codecs.throwExceptionsOnInvalidImages = true;

   // Load the image
   var srcFileName = "Assets\\Image1.cmp";
   return Tools.AppInstallFolder().getFileAsync(srcFileName).then(function (loadFile) {
      return codecs.loadAsync(Leadtools.LeadStreamFactory.create(loadFile));
   }).then(function (image) {
      // Prepare the command
      with (Leadtools.ImageProcessing.Core) {
         var dstImage = image.clone();
         var points = new Array();
         //Size the array to 90
         for (var i = 0; i < 90; i++)
            points[i] = Leadtools.LeadPointHelper.create(0, 0);
         
         var command = new CorrelationCommand(dstImage, points, 1, 1, 70);
         // Apply the correlation filter.
         command.run(image);
         
         console.error("The number of points are:" + command.numberOfPoints.toString());
      }
   });
}

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

      
public async Task CorrelationConstructorExample()
{
   // 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
   RasterImage dstImage = image.Clone();
   LeadPoint[] points = new LeadPoint[90];

   CorrelationCommand command = new CorrelationCommand(dstImage, points, 1, 1, 70);
   // Apply the correlation filter.
   command.Run(image);

   Debug.WriteLine("The number of points are:" + command.NumberOfPoints.ToString());

}

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

public void CorrelationConstructorExample(RasterImage image, Stream outStream)
{
   // Prepare the command
   RasterImage dstImage = image.Clone();
   LeadPoint [] points = new LeadPoint[90];
   CorrelationCommand command = new CorrelationCommand(dstImage, points, 1, 1, 70);
   // Apply the correlation filter.
   command.Run(image);
   Debug.WriteLine("The number of points are:" + command.NumberOfPoints.ToString());

   // Save result image
   RasterCodecs codecs = new RasterCodecs();
   codecs.Save(image, outStream, RasterImageFormat.Jpeg, 24);
   image.Dispose();
}

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

Public Sub CorrelationConstructorExample(ByVal image As RasterImage, ByVal outStream As Stream)
   ' Prepare the command
   Dim dstImage As RasterImage = image.Clone()
   Dim points As LeadPoint() = New LeadPoint(89){}
   Dim command As CorrelationCommand = New CorrelationCommand(dstImage, points, 1, 1, 70)
   ' Apply the correlation filter.
   command.Run(image)
   Debug.WriteLine("The number of points are:" & command.NumberOfPoints.ToString())

   ' Save result image
   Dim codecs As RasterCodecs = New RasterCodecs()
   codecs.Save(image, outStream, RasterImageFormat.Jpeg, 24)
   image.Dispose()
End Sub

Target Platforms

Reference

CorrelationCommand Class
CorrelationCommand Members
Overload List