GaussianBlurFilterOptions 类
内容
[
隐藏
]Summary: The Gaussian blur filter options.
Module: aspose.imaging.imagefilters.filteroptions
Full Name: aspose.imaging.imagefilters.filteroptions.GaussianBlurFilterOptions
Inheritance: ConvolutionFilterOptions
Constructors
| Name | 描述 |
|---|---|
| GaussianBlurFilterOptions() | 初始化 GaussianBlurFilterOptions 类的新实例。 |
| GaussianBlurFilterOptions(size, sigma) | 初始化 GaussianBlurFilterOptions 类的新实例。 |
Properties
| Name | Type | Access | 描述 |
|---|---|---|---|
| 偏置 | int | r/w | 获取或设置偏置。 |
| borders_processing | bool | r/w | 获取或设置一个值,指示是否进行 [borders processing]。 |
| 因子 | float | r/w | 获取或设置因子。 |
| ignore_alpha | bool | r/w | 获取或设置一个值,指示是否 [ignore alpha]。 |
| kernel_data | float[] | r | 获取高斯核。 |
| radius | int | r/w | 获取高斯 ISquareConvolutionKernel 的半径。 |
| sigma | float | r/w | 获取高斯核 sigma(平滑)。必须为正的非零值。 |
| size | int | r/w | 获取高斯核大小。必须为正的非零奇数值。 |
Constructor: GaussianBlurFilterOptions()
GaussianBlurFilterOptions()
初始化 GaussianBlurFilterOptions 类的新实例。
Constructor: GaussianBlurFilterOptions(size, sigma)
GaussianBlurFilterOptions(size, sigma)
初始化 GaussianBlurFilterOptions 类的新实例。
Parameters:
| 参数 | Type | Description |
|---|---|---|
| size | int | Gaussian 核大小。 |
| sigma | float | 高斯核 sigma。 |
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)
# 对整幅图像应用矩形大小为 5 的中值滤波器。
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)
# 对整幅图像应用核大小为 5 的双边平滑滤波器。
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)
# 对整幅图像应用半径为 5、sigma 值为 4.0 的高斯模糊滤波器。
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)
# 对整幅图像应用半径为 5、平滑值为 4.0 的 Gauss-Wiener 滤波器。
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)
# 对整幅图像应用长度为 5、平滑值为 4.0、角度为 90.0 度的运动 Wiener 滤波器。
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)
# 对整幅图像应用核大小为 5、sigma 值为 4.0 的锐化滤波器。
rasterImage.filter(rasterImage.bounds, SharpenFilterOptions(5, 4.0))
rasterImage.save(join_path(directory, "sample.SharpenFilter.png"))