"""
==================================
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()