[Solved] Consider the following code:import numpy as np from scipy.ndimage import label binary_image = np.... | SciPy

SciPy - Image Processing (scipy.ndimage)

Consider the following code:

import numpy as np
from scipy.ndimage import label

binary_image = np.array([[1,1,0],[0,1,1],[1,0,0]])
labeled, num = label(binary_image)
print(labeled)
print(num)

What is the likely issue with this code?

AThe array contains non-binary values

BThe default connectivity may not detect all connected pixels as one component

CThe label function cannot handle 2D arrays

DThe print statements are incorrect

Step-by-Step Solution

Solution:

Step 1: Check connectivity default
By default, connectivity=1 (4-connectivity) is used.
Step 2: Effect on labeling
Some diagonally connected pixels may be treated as separate components.
Final Answer:
The default connectivity may not detect all connected pixels as one component -> Option B
Quick Check:
Default connectivity excludes diagonal neighbors [OK]

Quick Trick: Default connectivity excludes diagonals [OK]

Common Mistakes:

Assuming all connected pixels are grouped by default
Thinking label cannot process 2D arrays
Believing print statements cause errors

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Consider the following code:

Step 1: Check connectivity default

Step 2: Effect on labeling

Final Answer:

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