Inspect labeled objects in an image touching either a horizontal or vertical center line. Information is printed to the console.
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import os | |
import numpy as np | |
import matplotlib.pyplot as plt | |
from skimage import io | |
from skimage.measure import regionprops | |
# ---------------------------------------------------------- | |
# Input | |
wdir = os.path.dirname('<DIRECTORY_CONTAINING_IMAGES>') | |
fname = '<LABELED_IMAGE_NAME>.tif' | |
vertical = True # If False, a horizontal line is used | |
# ---------------------------------------------------------- | |
masks = io.imread(os.path.join(wdir, fname)) | |
masks_filtered = np.zeros(shape=masks.shape, dtype=masks.dtype) | |
fig, ax = plt.subplots(1, 2) | |
ax[0].imshow(masks) | |
ax[0].set_title('Labels from Aivia') | |
if vertical is True: | |
line_idx = int(masks.shape[1]/2) | |
line_arr = masks[:, line_idx] | |
else: | |
line_idx = int(masks.shape[0]/2) | |
line_arr = masks[line_idx, :] | |
values_on_line = np.unique(line_arr) | |
for v in values_on_line: | |
if v==0: | |
pass | |
else: | |
masks_filtered = masks_filtered + np.where(masks==v, v, 0) | |
masks_filtered = masks_filtered.astype(masks.dtype) | |
measurements = regionprops(masks_filtered) | |
ax[1].imshow(masks_filtered) | |
ax[1].set_title('Labels Touching Line') | |
if vertical is True: | |
ax[0].axvline(line_idx, color='r') | |
ax[1].axvline(line_idx, color='r') | |
else: | |
ax[0].axhline(line_idx, color='r') | |
ax[1].axhline(line_idx, color='r') | |
# ---------------------------------------------------------- | |
# Output | |
print(f"{len(measurements)} objects found.") | |
for prop in measurements: | |
length = prop.major_axis_length | |
breadth = prop.minor_axis_length | |
aspect_ratio = length / breadth | |
circularity = (4 * np.pi * prop.area) / (prop.perimeter**2) | |
print('\n') | |
print(f"Summary for object {prop.label}") | |
print(f"Length : {length:.2f}") | |
print(f"Breadth : {breadth:.2f}") | |
print(f"Aspect ratio : {aspect_ratio:.2f}") | |
print(f"Circularity : {circularity:.2f}") | |
plt.show() | |
# ---------------------------------------------------------- |
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