Class GaussianBlurFilterOptions

Class GaussianBlurFilterOptions

Navne til: Aspose.Imaging.ImageFilters.FilterOptions Sammensætning: Aspose.Imaging.dll (25.4.0)

Den Gaussian blur filter muligheder.

public class GaussianBlurFilterOptions : ConvolutionFilterOptions

Inheritance

object ← FilterOptionsBase ← ConvolutionFilterOptions ← GaussianBlurFilterOptions

Derived

SharpenFilterOptions

De arvede medlemmer

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

Følgende eksempel anvender forskellige typer af filtre til et rasterbillede.

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(Dobbelt og dobbelt)

Initialiserer en ny instans af Aspose.Imaging.ImageFilters.FillterOptions.GaussianBlurFiltrooptions klasse.

public GaussianBlurFilterOptions(int size, double sigma)

Parameters

size int

Den gaussiske kernelstørrelse.

sigma double

Den Gaussiske Kernel Sigma.

GaussianBlurFilterOptions()

Initialiserer en ny instans af Aspose.Imaging.ImageFilters.FillterOptions.GaussianBlurFiltrooptions klasse.

public GaussianBlurFilterOptions()

Fields

DefaultSigma

Det er den typiske Gaussian kernel sigma.

protected const double DefaultSigma = 1

Fællesværdi

double

DefaultSize

Den standard Gaussian kernel størrelse.

protected const byte DefaultSize = 5

Fællesværdi

byte

Properties

Kernel

Det er den gaussiske kernel.

public override double[,] Kernel { get; }

Ejendomsværdi

double [,]

Radius

Få radiusen af Gausseian Aspose.Imaging.ImageFilters.Convolution.ISquareKonvolutionKernel.

public int Radius { get; set; }

Ejendomsværdi

int

Sigma

Få den Gaussian kernel sigma (smoothing). må være en positiv ikke-zero værdi.

public virtual double Sigma { get; set; }

Ejendomsværdi

double

Size

Gør den Gaussian kernel størrelse. Må være en positiv ikke-zero mærkelig værdi.

public virtual int Size { get; set; }

Ejendomsværdi

int

 Dansk