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Measure variance

SciPy measurement functions allow you to tailor measurements to specific sets of pixels:

  • Specifying labels restricts the mask to non-zero pixels.
  • Specifying index value(s) returns a measure for each label value.

For this exercise, calculate the intensity variance of vol with respect to different pixel sets. We have provided the 3D segmented image as labels: label 1 is the left ventricle and label 2 is a circular sample of tissue.

Labeled Volume

After printing the variances, select the true statement from the answers below.

Diese Übung ist Teil des Kurses

<Kurs>Biomedical Image Analysis in Python</Kurs>
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Interaktive praktische Übung

Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.

# Variance for all pixels
var_all = ndi.variance(vol, labels=None, index=None)
print('All pixels:', var_all)

# Variance for labeled pixels
var_labels = ndi.variance(____, _____, ____)
print('Labeled pixels:', ____)

# Variance for each object
var_objects = ____
print('Left ventricle:', var_objects[0])
print('Other tissue:', ____)
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