Class GaussianBlurFilterOptions
이름 공간 : Aspose.Imaging.ImageFilters.FilterOptions 모임: Aspose.Imaging.dll (25.4.0)
Gaussian blur 필터 옵션.
public class GaussianBlurFilterOptions : ConvolutionFilterOptions
Inheritance
object ← FilterOptionsBase ← ConvolutionFilterOptions ← GaussianBlurFilterOptions
Derived
상속 회원들
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
다음 예제는 다양한 유형의 필터를 라스터 이미지에 적용합니다.
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(듀얼, 듀얼)
Aspose.Imaging.ImageFilters.FilterOptions.GaussianBlurFilterOptions 클래스의 새로운 예를 시작합니다.
public GaussianBlurFilterOptions(int size, double sigma)
Parameters
size
int
가우시아 핵의 크기
sigma
double
가우스 핵심 시그마
GaussianBlurFilterOptions()
Aspose.Imaging.ImageFilters.FilterOptions.GaussianBlurFilterOptions 클래스의 새로운 예를 시작합니다.
public GaussianBlurFilterOptions()
Fields
DefaultSigma
가우스시아 핵심 시그마(Gaussian kernel sigma)
protected const double DefaultSigma = 1
필드 가치
DefaultSize
가스 핵의 기본 크기.
protected const byte DefaultSize = 5
필드 가치
Properties
Kernel
가우스의 핵을 얻는다.
public override double[,] Kernel { get; }
부동산 가치
double [,]
Radius
가세안 Aspose.Imaging.ImageFilters.Convolution.ISquareConvolutionKernel의 라디오를 얻습니다.
public int Radius { get; set; }
부동산 가치
Sigma
Gets the Gaussian kernel sigma (smoothing) 긍정적 인 non-zero 가치가 있어야합니다.
public virtual double Sigma { get; set; }
부동산 가치
Size
Gets the Gaussian kernel size. 긍정적이지 않은 0 이상한 가치가 있어야합니다.
public virtual int Size { get; set; }