mirror of
https://github.com/wassname/scikit-image.git
synced 2026-06-28 16:46:53 +08:00
Jeff Hemmelgarn
38 lines
885 B
Python
38 lines
885 B
Python
"""
|
|
==================================
|
|
Minimum Algorithm For Thresholding
|
|
==================================
|
|
|
|
The minimum algorithm takes a histogram of the image and smooths it
|
|
repeatedly unitl there are only two peaks in the histogram. Then it
|
|
finds the minimum value between the two peaks. With the smoothing
|
|
there can be multiple pixel values with the minimum histogram count,
|
|
so you can pick 'min', 'mid', or 'max' of these values.
|
|
|
|
"""
|
|
import matplotlib.pyplot as plt
|
|
|
|
from skimage import data
|
|
from skimage.filters.thresholding import threshold_minimum
|
|
|
|
image = data.camera()
|
|
|
|
threshold = threshold_minimum(image, bias='min')
|
|
|
|
binarized = image > threshold
|
|
|
|
fig, axes = plt.subplots(nrows=2, figsize=(7, 8))
|
|
ax0, ax1 = axes
|
|
plt.gray()
|
|
|
|
ax0.imshow(image)
|
|
ax0.set_title('Image')
|
|
|
|
ax1.imshow(binarized)
|
|
ax1.set_title('Thresholded')
|
|
|
|
for ax in axes:
|
|
ax.axis('off')
|
|
|
|
plt.show()
|