Class GaussianBlurFilterOptions
Der Name: Aspose.Imaging.ImageFilters.FilterOptions Versammlung: Aspose.Imaging.dll (25.4.0)
Die Gaussian Blur Filter Optionen.
public class GaussianBlurFilterOptions : ConvolutionFilterOptionsInheritance
object ← FilterOptionsBase ← ConvolutionFilterOptions ← GaussianBlurFilterOptions
Derived
Vererbte Mitglieder
ConvolutionFilterOptions.MinSize , ConvolutionFilterOptions.Kernel , ConvolutionFilterOptions.Factor , ConvolutionFilterOptions.Bias , object.GetType() , object.MemberwiseClone() , object.ToString() , object.Equals(object?) , object.Equals(object?, object?) , object.ReferenceEquals(object?, object?) , object.GetHashCode()
Examples
Das folgende Beispiel gilt für verschiedene Arten von Filtern für ein Rasterbild.
string dir = "c:\\temp\\";
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.png"))
{
Aspose.Imaging.RasterImage rasterImage = (Aspose.Imaging.RasterImage)image;
// Apply a median filter with a rectangle size of 5 to the entire image.
rasterImage.Filter(rasterImage.Bounds, new Aspose.Imaging.ImageFilters.FilterOptions.MedianFilterOptions(5));
rasterImage.Save(dir + "sample.MedianFilter.png");
}
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.png"))
{
Aspose.Imaging.RasterImage rasterImage = (Aspose.Imaging.RasterImage)image;
// Apply a bilateral smoothing filter with a kernel size of 5 to the entire image.
rasterImage.Filter(rasterImage.Bounds, new Aspose.Imaging.ImageFilters.FilterOptions.BilateralSmoothingFilterOptions(5));
rasterImage.Save(dir + "sample.BilateralSmoothingFilter.png");
}
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.png"))
{
Aspose.Imaging.RasterImage rasterImage = (Aspose.Imaging.RasterImage)image;
// Apply a Gaussian blur filter with a radius of 5 and a sigma value of 4.0 to the entire image.
rasterImage.Filter(rasterImage.Bounds, new Aspose.Imaging.ImageFilters.FilterOptions.GaussianBlurFilterOptions(5, 4.0));
rasterImage.Save(dir + "sample.GaussianBlurFilter.png");
}
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.png"))
{
Aspose.Imaging.RasterImage rasterImage = (Aspose.Imaging.RasterImage)image;
// Apply a Gauss-Wiener filter with a radius of 5 and a smooth value of 4.0 to the entire image.
rasterImage.Filter(rasterImage.Bounds, new Aspose.Imaging.ImageFilters.FilterOptions.GaussWienerFilterOptions(5, 4.0));
rasterImage.Save(dir + "sample.GaussWienerFilter.png");
}
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.png"))
{
Aspose.Imaging.RasterImage rasterImage = (Aspose.Imaging.RasterImage)image;
// Apply a motion wiener filter with a length of 5, a smooth value of 4.0 and an angle of 90.0 degrees to the entire image.
rasterImage.Filter(rasterImage.Bounds, new Aspose.Imaging.ImageFilters.FilterOptions.MotionWienerFilterOptions(10, 1.0, 90.0));
rasterImage.Save(dir + "sample.MotionWienerFilter.png");
}
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.png"))
{
Aspose.Imaging.RasterImage rasterImage = (Aspose.Imaging.RasterImage)image;
// Apply a sharpen filter with a kernel size of 5 and a sigma value of 4.0 to the entire image.
rasterImage.Filter(rasterImage.Bounds, new Aspose.Imaging.ImageFilters.FilterOptions.SharpenFilterOptions(5, 4.0));
rasterImage.Save(dir + "sample.SharpenFilter.png");
}Constructors
GaussianBlurFilterOptions(Zwei, doppelt)
Initialisiert eine neue Instanz der Aspose.Imaging.ImageFilters.FilterOptions.GaussianBlurFilterOptions Klasse.
public GaussianBlurFilterOptions(int size, double sigma)Parameters
size int
Die Gaussische Kernelgröße..
sigma double
Der Gaussische Kernel Sigma.
GaussianBlurFilterOptions()
Initialisiert eine neue Instanz der Aspose.Imaging.ImageFilters.FilterOptions.GaussianBlurFilterOptions Klasse.
public GaussianBlurFilterOptions()Fields
DefaultSigma
Der Standard Gaussian Kernel Sigma.
protected const double DefaultSigma = 1Feldwert
DefaultSize
Die Standardgröße des Gaussian Kernels.
protected const byte DefaultSize = 5Feldwert
Properties
Kernel
Das Gaussische Kernel.
public override double[,] Kernel { get; }Eigentumswert
double [,]
Radius
Erhalten Sie den Strahl von Gausseian Aspose.Imaging.ImageFilters.Convolution.ISquareConvolutionKernel.
public int Radius { get; set; }Eigentumswert
Sigma
Er bekommt die Gaussische Kernel-Sigma (Smoothing). Es muss eine positive, nicht-zero-Wert sein.
public virtual double Sigma { get; set; }Eigentumswert
Size
Er bekommt die Gaussische Kernelgröße. muss ein positives, nicht-zero seltsames Wert sein.
public virtual int Size { get; set; }