Python SciPy ndimage.spline_filter1d()用法及代碼示例

該方法用於計算沿給定軸的一維樣條濾波器。這些由樣條濾波器過濾。

用法：scipy.ndimage.spline_filter1d(input, order=3, axis=-1, output=<class ‘numpy.float64’>)

參數

input:數組-輸入數組

order:int-樣條曲線的順序，默認為3。

axis:int，-樣條線過濾器沿其應用的軸。默認為最後一個軸。

output:ndarray-放置輸出的數組，或者返回的數組的dtype。默認值為numpy.float64。

範例1：

Python3

# importing spline filter with one dimension. 
from scipy.ndimage import spline_filter1d 
  
# importing matplot library for visualiation 
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)

輸出：

範例2：

Python3

# importing spline filter with one dimension. 
from scipy.ndimage import spline_filter1d 
  
# importing matplot library for visualiation 
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()

輸出：

相關用法

注：本文由純淨天空篩選整理自sravankumar8128大神的英文原創作品 Python SciPy – ndimage.spline_filter1d() function。非經特殊聲明，原始代碼版權歸原作者所有，本譯文未經允許或授權，請勿轉載或複製。