public class ColorizeGrayCommand : RasterCommand
Public Class ColorizeGrayCommand
Inherits RasterCommand
@interface LTColorizeGrayCommand : LTRasterCommand
public class ColorizeGrayCommand extends RasterCommand
public ref class ColorizeGrayCommand : public RasterCommand
This class is available in the Imaging Pro and above toolkits.
The colors from the input images will be colored as follows: Pixel intensities from 0 - 9999 will be Red. Pixel intensities from 10000 - 19999 will be Green. Pixel intensities from 20000 - 29999 will be Blue. Pixel intensities from 30000 - 39999 will be Cyan. Pixel intensities from 40000 - 49999 will be Magenta. Pixel intensities from 50000 - 65535 will be Yellow. (Note: the Threshold value is ignored for the last entry in the GrayColors array.)
For more information on filling the GrayColors array to obtain this result, refer to the example.
For more information, refer to Grayscale Images.
This example loads a 16-bit grayscale image and then colors it.
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Core;
public void ColorizeGrayCommandExample()
{
// Load an image
RasterCodecs codecs = new RasterCodecs();
codecs.ThrowExceptionsOnInvalidImages = true;
RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, @"ImageProcessingDemo\Beauty16.jpg"));
// Prepare the command
ColorizeGrayCommandData[] pGrayColors = new ColorizeGrayCommandData[6];
for (int i = 0; i < 6; i++)
pGrayColors[i] = new ColorizeGrayCommandData();
pGrayColors[0].Threshold = 9999;
pGrayColors[1].Threshold = 19999;
pGrayColors[2].Threshold = 29999;
pGrayColors[3].Threshold = 39999;
pGrayColors[4].Threshold = 49999;
pGrayColors[5].Threshold = 59999;
pGrayColors[0].Color = new RasterColor(255, 0, 0);
pGrayColors[1].Color = new RasterColor(0, 255, 0);
pGrayColors[2].Color = new RasterColor(0, 0, 255);
pGrayColors[3].Color = new RasterColor(0, 255, 255);
pGrayColors[4].Color = new RasterColor(255, 0, 255);
pGrayColors[5].Color = new RasterColor(255, 255, 0);
ColorizeGrayCommand command = new ColorizeGrayCommand();
command.GrayColors = pGrayColors;
//Call the command
command.Run(image);
// Save the resulted image
codecs.Save(command.DestinationImage, Path.Combine(LEAD_VARS.ImagesDir, "ColorizeGrayResult.Bmp"), RasterImageFormat.Bmp, 24);
}
static class LEAD_VARS
{
public const string ImagesDir = @"C:\LEADTOOLS21\Resources\Images";
}
Imports Leadtools
Imports Leadtools.Codecs
Imports Leadtools.ImageProcessing.Core
Public Sub ColorizeGrayCommandExample()
Dim codecs As New RasterCodecs()
codecs.ThrowExceptionsOnInvalidImages = True
Dim leadImage As RasterImage = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "ImageProcessingDemo\Beauty16.jpg"))
' Prepare the command
Dim i As Integer
Dim pGrayColors() As ColorizeGrayCommandData
ReDim pGrayColors(5)
For i = 0 To 5
pGrayColors(i) = New ColorizeGrayCommandData
Next
pGrayColors(0).Threshold = 9999
pGrayColors(1).Threshold = 19999
pGrayColors(2).Threshold = 29999
pGrayColors(3).Threshold = 39999
pGrayColors(4).Threshold = 49999
pGrayColors(5).Threshold = 59999
pGrayColors(0).Color = New RasterColor(255, 0, 0)
pGrayColors(1).Color = New RasterColor(0, 255, 0)
pGrayColors(2).Color = New RasterColor(0, 0, 255)
pGrayColors(3).Color = New RasterColor(0, 255, 255)
pGrayColors(4).Color = New RasterColor(255, 0, 255)
pGrayColors(5).Color = New RasterColor(255, 255, 0)
Dim command As ColorizeGrayCommand = New ColorizeGrayCommand
command.GrayColors = pGrayColors
'Call the command
command.Run(leadImage)
' Save the resulted Image
codecs.Save(command.DestinationImage, Path.Combine(LEAD_VARS.ImagesDir, "ColorizeGrayResult.Bmp"), RasterImageFormat.Bmp, 24)
End Sub
Public NotInheritable Class LEAD_VARS
Public Const ImagesDir As String = "C:\LEADTOOLS21\Resources\Images"
End Class
Leadtools.ImageProcessing.Core Namespace
Leadtools.ImageProcessing.Color.GrayScaleToDuotoneCommand
Leadtools.ImageProcessing.Color.GrayScaleToMultitoneCommand
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