[Solved] What will be the labeled array output of this code?import numpy as np from scipy.ndimage import label input_array = np.... | SciPy

SciPy - Image Processing (scipy.ndimage)

What will be the labeled array output of this code?

import numpy as np
from scipy.ndimage import label

input_array = np.array([[0,1,1,0],
                        [1,1,0,0],
                        [0,0,1,1],
                        [0,1,1,0]])
labeled_array, num_features = label(input_array)
print(labeled_array)

A[[0 1 1 0] [1 1 0 0] [0 0 0 0] [0 0 0 0]]

B[[0 1 1 0] [1 1 0 0] [0 0 1 1] [0 1 1 0]]

C[[0 1 1 0] [1 1 0 0] [0 0 2 2] [0 2 2 0]]

D[[1 1 1 1] [1 1 1 1] [1 1 1 1] [1 1 1 1]]

Step-by-Step Solution

Solution:

Step 1: Identify connected components in input_array
There are two connected components: one in top-left (label 1), one in bottom-right (label 2).
Step 2: Understand labeling output
Label 1 assigned to first cluster, label 2 to second cluster, zeros remain zeros.
Final Answer:
[[0 1 1 0] [1 1 0 0] [0 0 2 2] [0 2 2 0]] -> Option C
Quick Check:
Labeled array matches connected clusters with distinct labels [OK]

Quick Trick: Labels start at 1 for each connected group [OK]

Common Mistakes:

Assuming labels start at 0
Not distinguishing separate clusters
Confusing input array with labeled output

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What will be the labeled array output of this code?

Step 1: Identify connected components in input_array

Step 2: Understand labeling output

Final Answer:

Quick Check:

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