Comments (1)
soupault
commented on September 26, 2024
Hi @matt-sd-watson , I believe the second part of your example is not equivalent to the first one. There is no guarantee that region_props results are sorted in the order of increasing instance labels. Thus, mask_id of 1 in for mask_id, region in zip(np.unique(mask), region_props): does not neccessarily correspond to the instance with label 1. The following corrected code works as expected:
# In this first instance, subset the mask for each object
for mask_id in np.unique(mask):
subset = np.where(mask == int(mask_id), int(mask_id), 0)
region_props = measure.regionprops(subset)
for region in region_props:
if mask_id == 1:
print(region.centroid)
# In this second example, do not subset
region_props = measure.regionprops(mask)
for mask_id, region in zip(np.unique(mask), region_props):
center = region.centroid
if region.label == 1: # NOTICE
print(center)
outputs
(4.047058823529412, 347.43529411764706)
(4.047058823529412, 347.43529411764706)
from scikit-image.
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