Detects edges by examining the variation of colors in all directions using statistical indices.
public class EdgeDetectStatisticalCommand : Leadtools.Imageprocessing.Leadtools.ImageProcessing.RasterCommand, Leadtools.Imageprocessing.Leadtools.ImageProcessing.IRasterCommandPublic Class EdgeDetectStatisticalCommandInherits Leadtools.Imageprocessing.Leadtools.ImageProcessing.RasterCommandImplements Leadtools.Imageprocessing.Leadtools.ImageProcessing.IRasterCommand
public sealed class EdgeDetectStatisticalCommand : Leadtools.Imageprocessing.Leadtools.ImageProcessing.IRasterCommand@interface LTEdgeDetectStatisticalCommand : LTRasterCommandpublic class EdgeDetectStatisticalCommand extends RasterCommandfunction Leadtools.ImageProcessing.Effects.EdgeDetectStatisticalCommand()public ref class EdgeDetectStatisticalCommand : public Leadtools.Imageprocessing.Leadtools.ImageProcessing.RasterCommand, Leadtools.Imageprocessing.Leadtools.ImageProcessing.IRasterCommandFor more information, refer to Detecting and Enhancing Edges and Lines.
Run the EdgeDetectStatisticalCommand on an image.
Imports LeadtoolsImports Leadtools.CodecsImports Leadtools.ImageProcessing.EffectsPublic Sub EdgeDetectStatisticalCommandExample()Dim codecs As New RasterCodecs()codecs.ThrowExceptionsOnInvalidImages = TrueDim leadImage As RasterImage = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "ImageProcessingDemo\\NaturalFruits.jpg"))' Prepare the commandDim command As EdgeDetectStatisticalCommand = New EdgeDetectStatisticalCommandcommand.Dimension = 15command.Threshold = 128command.EdgeColor = New RasterColor(255, 255, 255)command.BackGroundColor = 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 SubPublic NotInheritable Class LEAD_VARSPublic Const ImagesDir As String = "C:\Users\Public\Documents\LEADTOOLS Images"End Class
using Leadtools;using Leadtools.Codecs;using Leadtools.ImageProcessing.Effects;public void EdgeDetectStatisticalCommandExample(){// Load an imageRasterCodecs codecs = new RasterCodecs();codecs.ThrowExceptionsOnInvalidImages = true;RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "ImageProcessingDemo\\NaturalFruits.jpg"));// Prepare the commandEdgeDetectStatisticalCommand command = new EdgeDetectStatisticalCommand();command.Dimension = 15;command.Threshold = 128;command.EdgeColor = new RasterColor(255, 255, 255);command.BackGroundColor = 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";}
using Leadtools;using Leadtools.Codecs;using Leadtools.ImageProcessing.Effects;using Leadtools.ImageProcessing;public async Task EdgeDetectStatisticalCommandExample(){// Load an imageRasterCodecs codecs = new RasterCodecs();codecs.ThrowExceptionsOnInvalidImages = true;// Load the imagestring srcFileName = @"Assets\Image1.cmp";StorageFile loadFile = await Tools.AppInstallFolder.GetFileAsync(srcFileName);RasterImage image = await codecs.LoadAsync(LeadStreamFactory.Create(loadFile));// Prepare the commandEdgeDetectStatisticalCommand command = new EdgeDetectStatisticalCommand();command.Dimension = 15;command.Threshold = 128;command.EdgeColor = RasterColorHelper.Create(255, 255, 255);command.BackGroundColor = RasterColorHelper.Create(0, 0, 0);// Apply an edge detector statistical command.command.Run(image);//Save as BMPstring destFileName = @"result.bmp";StorageFile saveFile = await Tools.AppLocalFolder.CreateFileAsync(destFileName);await codecs.SaveAsync(image, LeadStreamFactory.Create(saveFile), RasterImageFormat.Bmp, 24);}
using Leadtools;using Leadtools.Codecs;using Leadtools.ImageProcessing.Effects;using Leadtools.Examples;public void EdgeDetectStatisticalCommandExample(RasterImage image, Stream outStream){// Prepare the commandEdgeDetectStatisticalCommand command = new EdgeDetectStatisticalCommand();command.Dimension = 15;command.Threshold = 128;command.EdgeColor = new RasterColor(255, 255, 255);command.BackGroundColor = new RasterColor(0, 0, 0);// Apply an edge detector statistical command.command.Run(image);// Save result imageRasterCodecs codecs = new RasterCodecs();codecs.Save(image, outStream, RasterImageFormat.Jpeg, 24);image.Dispose();}
Imports LeadtoolsImports Leadtools.CodecsImports Leadtools.ImageProcessing.EffectsPublic Sub EdgeDetectStatisticalCommandExample(ByVal image As RasterImage, ByVal outStream As Stream)' Prepare the commandDim command As EdgeDetectStatisticalCommand = New EdgeDetectStatisticalCommand()command.Dimension = 15command.Threshold = 128command.EdgeColor = New RasterColor(255, 255, 255)command.BackGroundColor = New RasterColor(0, 0, 0)' Apply an edge detector statistical command.command.Run(image)' Save result imageDim codecs As RasterCodecs = New RasterCodecs()codecs.Save(image, outStream, RasterImageFormat.Jpeg, 24)image.Dispose()End Sub
EdgeDetectStatisticalCommand Members
Leadtools.ImageProcessing.Effects Namespace
Detecting and Enhancing Edges and Lines
Leadtools.ImageProcessing.Color.IntensityDetectCommand
Leadtools.ImageProcessing.Color.AutoColorLevelCommand
Leadtools.ImageProcessing.Color.ColorLevelCommand
Leadtools.ImageProcessing.Color.GrayScaleToDuotoneCommand
Leadtools.ImageProcessing.Color.GrayScaleToMultitoneCommand
RegionHolesRemovalCommand Class
Leadtools.ImageProcessing.Color.SelectiveColorCommand
Leadtools.ImageProcessing.SpecialEffects.BricksTextureCommand
Leadtools.ImageProcessing.Core.DeskewCommand
Leadtools.ImageProcessing.SpecialEffects.DiffuseGlowCommand
Leadtools.ImageProcessing.SpecialEffects.GlowCommand
Leadtools.ImageProcessing.Core.HalfTonePatternCommand
Leadtools.ImageProcessing.SpecialEffects.PerspectiveCommand
|
Products |
Support |
Feedback: EdgeDetectStatisticalCommand Class - Leadtools.ImageProcessing.Effects |
Introduction |
Help Version 19.0.2017.3.21
|

Raster .NET | C API | C++ Class Library | JavaScript HTML5
Document .NET | C API | C++ Class Library | JavaScript HTML5
Medical .NET | C API | C++ Class Library | JavaScript HTML5
Medical Web Viewer .NET
Your email has been sent to support! Someone should be in touch! If your matter is urgent please come back into chat.
Chat Hours:
Monday - Friday, 8:30am to 6pm ET
Thank you for your feedback!
Please fill out the form again to start a new chat.
All agents are currently offline.
Chat Hours:
Monday - Friday
8:30AM - 6PM EST
To contact us please fill out this form and we will contact you via email.