public class ContourFilterCommand : RasterCommand public ref class ContourFilterCommand : public RasterCommand class ContourFilterCommand(RasterCommand): The bits per pixel of the affected image will change according to the value of Type property, or the type parameter of the constructor as follows:
| If the type is | Bits per pixel will be: |
| Thin | 8 bits per pixel grayscale |
| LinkBlackWhite | 1 bit per pixel |
| LinkGray | 8 bits per pixel grayscale |
| LinkColor | 8 bits per pixel color |
| ApproxColor | 8 bits per pixel color |
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.
Run the ContourFilterCommand on an image.
using Leadtools;using Leadtools.Codecs;using Leadtools.ImageProcessing.Effects;public void ContourFilterCommandExample(){// Load an imageRasterCodecs codecs = new RasterCodecs();codecs.ThrowExceptionsOnInvalidImages = true;RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, @"ImageProcessingDemo\Beauty16.jpg"), 16, CodecsLoadByteOrder.BgrOrGray, 1, 1);// Prepare the commandContourFilterCommand command = new ContourFilterCommand();command.Threshold = 15;command.DeltaDirection = 35;command.MaximumError = 5;command.Type = ContourFilterCommandType.Thin;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:\LEADTOOLS22\Resources\Images";}
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
