public AnisotropicDiffusionCommand(
int iterations,
int smoothing,
float timestep,
float minvariation,
float maxvariation,
float edgeheight,
int update
)
public:
AnisotropicDiffusionCommand(
int iterations,
int smoothing,
float timestep,
float minvariation,
float maxvariation,
float edgeheight,
int update
)
__init__(self,iterations,smoothing,timestep,minvariation,maxvariation,edgeheight,update) # Overloaded constructor
iterations
Number of iterations the filter will perform.
smoothing
Size of the smoothing kernel used on the image.
timestep
Length of the vector field.
minvariation
Increasing this variable increases parallel diffusion.
maxvariation
Increasing this variable decreases one-sided diffusion.
edgeheight
Maximum edge size at which all edge values below will be included in the operation of the filter.
update
The number of iterations before each consecutive update of the image.
Runs the AnisotropicDiffusionCommand on the Image.
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Core;
public void AnisotropicDiffusionConstructorExample()
{
// 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
// Apply an Anisotropic Diffusion filter
AnisotropicDiffusionCommand command = new AnisotropicDiffusionCommand(20, 1, 100.0f, 0.5f, 0.8f, 4.0f, 10);
command.Run(image);
}
static class LEAD_VARS
{
public const string ImagesDir = @"C:\LEADTOOLS22\Resources\Images";
}
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