mirror of
https://github.com/wassname/scikit-image.git
synced 2026-06-30 04:52:35 +08:00
Olivier Debeir
36 lines
849 B
Python
36 lines
849 B
Python
"""
|
|
==============================
|
|
Simplified bilateral filtering
|
|
==============================
|
|
|
|
to complete
|
|
|
|
"""
|
|
import numpy as np
|
|
import matplotlib.pyplot as plt
|
|
|
|
from skimage import data
|
|
from skimage.morphology import disk
|
|
import skimage.filter.rank as rank
|
|
|
|
a8 = (data.coins()).astype('uint8')
|
|
|
|
a16 = (data.coins()).astype('uint16')*16
|
|
selem = np.ones((20,20),dtype='uint8')
|
|
f1 = rank.percentile_mean(a8,selem = selem,p0=.1,p1=.9)
|
|
f2 = rank.bilateral_mean(a16,selem = selem,s0=500,s1=500)
|
|
selem = disk(50)
|
|
f3 = rank.equalize(a16,selem = selem)
|
|
|
|
# display results
|
|
fig, axes = plt.subplots(nrows=3, figsize=(15,15))
|
|
ax0, ax1, ax2 = axes
|
|
|
|
ax0.imshow(np.hstack((a8,f1)))
|
|
ax0.set_title('percentile mean')
|
|
ax1.imshow(np.hstack((a16,f2)))
|
|
ax1.set_title('bilateral mean')
|
|
ax2.imshow(np.hstack((a16,f3)))
|
|
ax2.set_title('local equalization')
|
|
plt.show()
|