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Pinpoint center of mass

The distance transformation reveals the most embedded portions of an object. On the other hand, ndi.center_of_mass() returns the coordinates for the center of an object.

The "mass" corresponds to intensity values, with higher values pulling the center closer to it.

For this exercise, calculate the center of mass for the two labeled areas. Then, plot them on top of the image.

Diese Übung ist Teil des Kurses

Biomedical Image Analysis in Python

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Anleitung zur Übung

  • Using vol and labels, calculate the center of mass for the two labeled objects. Print the coordinates.
  • Use plt.scatter() to add the center of mass markers to the plot. Note that scatterplots draw from the bottom-left corner. Image columns correspond to x values and rows to y values.

Interaktive Übung

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

# Extract centers of mass for objects 1 and 2
coms = ____
print('Label 1 center:', ____)
print('Label 2 center:', ____)

# Add marks to plot
for c0, c1, c2 in coms:
    plt.scatter(____, ____, s=100, marker='o')
plt.show()
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