Clase MedianFilterOptions
Contenido
[
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]Summary: Median filter
Module: aspose.imaging.imagefilters.filteroptions
Full Name: aspose.imaging.imagefilters.filteroptions.MedianFilterOptions
Inheritance: FilterOptionsBase
Constructors
| Name | Descripción |
|---|---|
| MedianFilterOptions(size) | Inicializa una nueva instancia de la clase MedianFilterOptions. |
Properties
| Name | Type | Access | Descripción |
|---|---|---|---|
| tamaño | int | r/w | Obtiene o establece el tamaño. |
Constructor: MedianFilterOptions(size)
MedianFilterOptions(size)
Inicializa una nueva instancia de la clase MedianFilterOptions.
Parameters:
| Parámetro | Tipo | Descripción |
|---|---|---|
| tamaño | int | El tamaño del rectángulo de filtro. |
Examples
The following example applies various types of filters to a raster image.
from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage
from aspose.imaging.imagefilters.filteroptions import *
from os.path import join as join_path
directory = r"c:\temp"
with Image.load(join_path(directory, "sample.png")) as image:
rasterImage = as_of(image, RasterImage)
# Aplicar un filtro mediano con un tamaño de rectángulo de 5 a toda la imagen.
rasterImage.filter(rasterImage.bounds, MedianFilterOptions(5))
rasterImage.save(join_path(directory, "sample.MedianFilter.png"))
with Image.load(join_path(directory, "sample.png")) as image:
rasterImage = as_of(image, RasterImage)
# Aplicar un filtro de suavizado bilateral con un tamaño de kernel de 5 a toda la imagen.
rasterImage.filter(rasterImage.bounds, BilateralSmoothingFilterOptions(5))
rasterImage.save(join_path(directory, "sample.BilateralSmoothingFilter.png"))
with Image.load(join_path(directory, "sample.png")) as image:
rasterImage = as_of(image, RasterImage)
# Aplicar un filtro de desenfoque gaussiano con un radio de 5 y un valor sigma de 4.0 a toda la imagen.
rasterImage.filter(rasterImage.bounds, GaussianBlurFilterOptions(5, 4.0))
rasterImage.save(join_path(directory, "sample.GaussianBlurFilter.png"))
with Image.load(join_path(directory, "sample.png")) as image:
rasterImage = as_of(image, RasterImage)
# Aplicar un filtro Gauss-Wiener con un radio de 5 y un valor de suavizado de 4.0 a toda la imagen.
rasterImage.filter(rasterImage.bounds, GaussWienerFilterOptions(5, 4.0))
rasterImage.save(join_path(directory, "sample.GaussWienerFilter.png"))
with Image.load(join_path(directory, "sample.png")) as image:
rasterImage = as_of(image, RasterImage)
# Aplicar un filtro wiener de movimiento con una longitud de 5, un valor de suavizado de 4.0 y un ángulo de 90.0 grados a toda la imagen.
rasterImage.filter(rasterImage.bounds, MotionWienerFilterOptions(10, 1.0, 90.0))
rasterImage.save(join_path(directory, "sample.MotionWienerFilter.png"))
}
with Image.load(join_path(directory, "sample.png")) as image:
rasterImage = as_of(image, RasterImage)
# Aplicar un filtro de nitidez con un tamaño de kernel de 5 y un valor sigma de 4.0 a toda la imagen.
rasterImage.filter(rasterImage.bounds, SharpenFilterOptions(5, 4.0))
rasterImage.save(join_path(directory, "sample.SharpenFilter.png"))