Class GaussianBlurFilterOptions
Numele spaţiului: Aspose.Imaging.ImageFilters.FilterOptions Asamblare: Aspose.Imaging.dll (25.4.0)
Opțiunile de filtrare Gaussian blur.
public class GaussianBlurFilterOptions : ConvolutionFilterOptions
Inheritance
object ← FilterOptionsBase ← ConvolutionFilterOptions ← GaussianBlurFilterOptions
Derived
Membrii moștenitori
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
Următorul exemplu se aplică diferitelor tipuri de filtre unei imagini raster.
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(Însă, dublu)
Inițializează o nouă instanță a clădirii Aspose.Imaging.ImageFilters.FillterOptions.GaussianBlurFlurOption.
public GaussianBlurFilterOptions(int size, double sigma)
Parameters
size
int
Dimensiunea nucleului gaussian.
sigma
double
Cernelul Gaussian Sigma.
GaussianBlurFilterOptions()
Inițializează o nouă instanță a clădirii Aspose.Imaging.ImageFilters.FillterOptions.GaussianBlurFlurOption.
public GaussianBlurFilterOptions()
Fields
DefaultSigma
Cuvânt cheie: Gaussian kernel sigma.
protected const double DefaultSigma = 1
Valoarea câmpului
DefaultSize
Dimensiunea de bază a nucleului Gaussian.
protected const byte DefaultSize = 5
Valoarea câmpului
Properties
Kernel
Se găsește kernelul gaussian.
public override double[,] Kernel { get; }
Valoarea proprietății
double [,]
Radius
Obține raza Gausseian Aspose.Imaging.ImageFilters.Convolution.ISquareConvoluțieKernel.
public int Radius { get; set; }
Valoarea proprietății
Sigma
Obține sigma nucleului gaussian (smoothing). trebuie să fie o valoare pozitivă non-zero.
public virtual double Sigma { get; set; }
Valoarea proprietății
Size
Are dimensiunea nucleului gaussian. trebuie să fie o valoare pozitivă non-zero ciudată.
public virtual int Size { get; set; }