Initializes a new EdgeDetectStatisticalCommand class object with explicit parameters.
public EdgeDetectStatisticalCommand(
int dimension,
int threshold,
RasterColor edgeColor,
RasterColor backGroundColor
)
Public Function New( _
ByVal dimension As Integer, _
ByVal threshold As Integer, _
ByVal edgeColor As RasterColor, _
ByVal backGroundColor As RasterColor _
)
- (instancetype)initWithDimension:(NSUInteger)dimension
threshold:(NSInteger)threshold
edgeColor:(LTRasterColor*)edgeColor
backgroundColor:(LTRasterColor *)backgroundColor
public EdgeDetectStatisticalCommand(
int dimension,
int threshold,
RasterColor edgeColor,
RasterColor backGroundColor
)
public:
EdgeDetectStatisticalCommand(
int dimension,
int threshold,
RasterColor edgeColor,
RasterColor backGroundColor
)
dimension
Dimensions of the neighborhood used to detect edges (Dimension x Dimension), in pixels. This parameter only accepts positive values.
threshold
Threshold value used to determine which pixels are edge pixels. If the difference determined by the edge detector algorithm for a pixel is greater than this value, the pixel is an edge pixel. This parameter only accepts positive values.
edgeColor
Edge color.
backGroundColor
Non edge color.
Run the EdgeDetectStatisticalCommand on an image.
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Effects;
public void EdgeDetectStatisticalConstructorExample()
{
// Load an image
RasterCodecs codecs = new RasterCodecs();
codecs.ThrowExceptionsOnInvalidImages = true;
RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "ImageProcessingDemo\\NaturalFruits.jpg"));
// Prepare the command
EdgeDetectStatisticalCommand command = new EdgeDetectStatisticalCommand(5, 100, new RasterColor(255, 255, 255), new RasterColor(0, 0, 0));
// Apply an edge detector statistical command.
command.Run(image);
codecs.Save(image, Path.Combine(LEAD_VARS.ImagesDir, "Result.jpg"), RasterImageFormat.Jpeg, 24);
}
static class LEAD_VARS
{
public const string ImagesDir = @"C:\Users\Public\Documents\LEADTOOLS Images";
}
Imports Leadtools
Imports Leadtools.Codecs
Imports Leadtools.ImageProcessing.Effects
Public Sub EdgeDetectStatisticalConstructorExample()
Dim codecs As New RasterCodecs()
codecs.ThrowExceptionsOnInvalidImages = True
Dim leadImage As RasterImage = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "ImageProcessingDemo\\NaturalFruits.jpg"))
' Prepare the command
Dim command As EdgeDetectStatisticalCommand
command = New EdgeDetectStatisticalCommand(5, 100, New RasterColor(255, 255, 255), New RasterColor(0, 0, 0))
' Apply an edge detector statistical command.
command.Run(leadImage)
codecs.Save(leadImage, Path.Combine(LEAD_VARS.ImagesDir, "Result.jpg"), RasterImageFormat.Jpeg, 24)
End Sub
Public NotInheritable Class LEAD_VARS
Public Const ImagesDir As String = "C:\Users\Public\Documents\LEADTOOLS Images"
End Class
c#[Silverlight C# Example]
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Effects;
using Leadtools.Examples;
public void EdgeDetectStatisticalConstructorExample(RasterImage image, Stream outStream)
{
// Prepare the command
EdgeDetectStatisticalCommand command = new EdgeDetectStatisticalCommand(5, 100, new RasterColor(255, 255, 255), new RasterColor(0, 0, 0));
// Apply an edge detector statistical command.
command.Run(image);
// Save result image
RasterCodecs codecs = new RasterCodecs();
codecs.Save(image, outStream, RasterImageFormat.Jpeg, 24);
image.Dispose();
}
vb[Silverlight VB Example]
Imports Leadtools
Imports Leadtools.Codecs
Imports Leadtools.ImageProcessing.Effects
Public Sub EdgeDetectStatisticalConstructorExample(ByVal image As RasterImage, ByVal outStream As Stream)
' Prepare the command
Dim command As EdgeDetectStatisticalCommand = New EdgeDetectStatisticalCommand(5, 100, New RasterColor(255, 255, 255), New RasterColor(0, 0, 0))
' Apply an edge detector statistical command.
command.Run(image)
' Save result image
Dim codecs As RasterCodecs = New RasterCodecs()
codecs.Save(image, outStream, RasterImageFormat.Jpeg, 24)
image.Dispose()
End Sub
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