MedianFilterOptions Class
Contents
[
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]Summary: Median filter
Module: aspose.imaging.imagefilters.filteroptions
Full Name: aspose.imaging.imagefilters.filteroptions.MedianFilterOptions
Inheritance: FilterOptionsBase
Constructors
Name | Description |
---|---|
MedianFilterOptions(size) | Initializes a new instance of the MedianFilterOptions class. |
Properties
Name | Type | Access | Description |
---|---|---|---|
size | int | r/w | Gets or sets the size. |
Constructor: MedianFilterOptions(size)
MedianFilterOptions(size)
Initializes a new instance of the MedianFilterOptions class.
Parameters:
Parameter | Type | Description |
---|---|---|
size | int | The size of filter rectangle. |
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)
# Apply a median filter with a rectangle size of 5 to the entire image.
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)
# Apply a bilateral smoothing filter with a kernel size of 5 to the entire image.
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)
# 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, 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)
# 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, 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)
# 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, 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)
# 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, SharpenFilterOptions(5, 4.0))
rasterImage.save(join_path(directory, "sample.SharpenFilter.png"))