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"""
===============================
Dense DAISY feature description
===============================
The DAISY local image descriptor is based on gradient orientation histograms
similar to the SIFT descriptor. It is formulated in a way that allows for fast
dense extraction which is useful for e.g. bag-of-features image
representations.
In this example a limited number of DAISY descriptors are extracted at a large
scale for illustrative purposes.
"""
from skimage.feature import daisy
from skimage import data
import matplotlib.pyplot as plt
img = data.camera()
descs, descs_img = daisy(
img, step=180, radius=58, rings=2, histograms=6, orientations=8, visualize=True
)
fig, ax = plt.subplots()
ax.axis("off")
ax.imshow(descs_img)
descs_num = descs.shape[0] * descs.shape[1]
ax.set_title(f"{descs_num} DAISY descriptors extracted:")
plt.show()
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