Python SciPy – ndimage.spline_filter1d()函数

此方法用于计算沿给定轴的一维样条滤波器。这些由样条滤波器过滤。

Syntax: scipy.ndimage.spline_filter1d(input, order=3, axis=-1, output=)

Parameters

input: array_like – The input array

order: int – The order of the spline, default is 3.

axis: int,  – The axis along which the spline filter is applied. Default is the last axis.

output: ndarray  – The array in which to place the output, or the dtype of the returned array. Default is numpy.float64.

示例 1：

Python3

# importing spline filter with one dimension.
from scipy.ndimage import spline_filter1d
 
# importing matplot library for visualization
import matplotlib.pyplot as plt
 
# importing munpy module
import numpy as np
 
# creating an image
geek_image = np.eye(80)
 
# returns an image array format
geek_image[40, :] = 1.0
print(geek_image)

输出：

示例 2：

蟒蛇3

# importing spline filter with one dimension.
from scipy.ndimage import spline_filter1d
 
# importing matplot library for visualization
import matplotlib.pyplot as plt
 
# importing munpy module
import numpy as np
 
# creating an image
geek_image = np.eye(80)
 
geek_image[40, :] = 1.0
 
# in axis=0
axis_0 = spline_filter1d(geek_image, axis=0)
 
# in axis=1
axis_1 = spline_filter1d(geek_image, axis=1)
 
f, ax = plt.subplots(1, 3, sharex=True)
 
for ind, data in enumerate([[geek_image, "geek_image original"],
                            [axis_0, "spline filter in axis 0"],
                            [axis_1, "spline filter in axis 1"]]):
    ax[ind].imshow(data[0], cmap='gray_r')
     
    # giving title
    ax[ind].set_title(data[1])
 
    # orientation layout of our image
plt.tight_layout()
 
# to show image
plt.show()

输出：