Applies one of several types of automatic color leveling to an image. This function is useful for pre-processing images for the purpose of improving barcode recognition results.
public class AutoColorLevelCommand : RasterCommand
Public Class AutoColorLevelCommand
Inherits RasterCommand
@interface LTAutoColorLevelCommand : LTRasterCommand
public class AutoColorLevelCommand extends RasterCommand
public ref class AutoColorLevelCommand : public RasterCommand
As an example, the following figure shows an image before any automatic color leveling has been performed:
The following figure shows what would happen if you start with the original image and apply the AutoColorLevelCommand using AutoColorLevelCommandType.Level flag.
The following figure shows what would happen if you start with the original image and apply the AutoColorLevelCommand using AutoColorLevelCommandType.Intensity flag.
The following figure shows what would happen if you start with the original image and apply the AutoColorLevelCommand using AutoColorLevelCommandType.Contrast flag.
This command 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.
For more information, refer to Correcting Colors.
Run the AutoColorLevelCommand on an image.
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Color;
public void AutoColorLevelCommandExample()
{
// Load an image
RasterCodecs codecs = new RasterCodecs();
codecs.ThrowExceptionsOnInvalidImages = true;
RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, @"ImageProcessingDemo\Image1.jpg"));
// Prepare the command
AutoColorLevelCommand command = new AutoColorLevelCommand();
// Apply "Auto Leveling" to the image.
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.Color
Public Sub AutoColorLevelCommandExample()
Dim codecs As New RasterCodecs()
codecs.ThrowExceptionsOnInvalidImages = True
Dim leadImage As RasterImage = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "ImageProcessingDemo\\Image1.jpg"))
' Prepare the command
Dim command As AutoColorLevelCommand = New AutoColorLevelCommand
' Apply "Auto Leveling" to the image.
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.Color;
using Leadtools.Examples;
public void AutoColorLevelCommandExample(RasterImage image, Stream outStream)
{
// Prepare the command
AutoColorLevelCommand command = new AutoColorLevelCommand();
// Apply "Auto Leveling" to the image.
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.Color
Public Sub AutoColorLevelCommandExample(ByVal image As RasterImage, ByVal outStream As Stream)
' Prepare the command
Dim command As AutoColorLevelCommand = New AutoColorLevelCommand()
' Apply "Auto Leveling" to the image.
command.Run(image)
' Save result image
Dim codecs As RasterCodecs = New RasterCodecs()
codecs.Save(image, outStream, RasterImageFormat.Jpeg, 24)
image.Dispose()
End Sub
Leadtools.ImageProcessing.Color Namespace
Leadtools.ImageProcessing.Effects.SharpenCommand
Leadtools.ImageProcessing.Effects.MosaicCommand
Leadtools.ImageProcessing.Effects.EmbossCommand
Leadtools.ImageProcessing.Core.MedianCommand
Leadtools.ImageProcessing.Effects.AddNoiseCommand
Leadtools.ImageProcessing.Effects.SpatialFilterCommand
Leadtools.ImageProcessing.Effects.BinaryFilterCommand
Leadtools.ImageProcessing.Core.MaximumCommand
Leadtools.ImageProcessing.Core.MinimumCommand
Help Collections
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Medical .NET | C API | C++ Class Library | HTML5 JavaScript
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Supported Platforms
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Imaging, Medical, and Document
C API/C++ Class Libraries
Imaging, Medical, and Document
HTML5 JavaScript Libraries
Imaging, Medical, and Document