[Solved] What is the output of this code?import numpy as np from scipy.ndimage import gaussian_filter img = np.array([[0, 0, 0], [0, 20, 0], [0, 0, 0]]) result = gaussian_filter(img, sigma=0.5) print(np.... | SciPy

SciPy - Image Processing (scipy.ndimage)

What is the output of this code?

import numpy as np
from scipy.ndimage import gaussian_filter

img = np.array([[0, 0, 0], [0, 20, 0], [0, 0, 0]])
result = gaussian_filter(img, sigma=0.5)
print(np.round(result, 1))

A[[0.7 1.6 0.7] [1.6 4.0 1.6] [0.7 1.6 0.7]]

B[[0.0 0.0 0.0] [0.0 20.0 0.0] [0.0 0.0 0.0]]

C[[2.0 3.0 2.0] [3.0 20.0 3.0] [2.0 3.0 2.0]]

D[[0.1 0.2 0.1] [0.2 20.0 0.2] [0.1 0.2 0.1]]

Step-by-Step Solution

Solution:

Step 1: Understand input
Input is a 3x3 array with a single bright pixel (20) in the center.
Step 2: Effect of gaussian_filter with sigma=0.5
Small sigma means slight smoothing, spreading the center value to neighbors.
Step 3: Expected output
The center value reduces, neighbors get small values. Rounded to 1 decimal place, values resemble [[0.7 1.6 0.7] [1.6 4.0 1.6] [0.7 1.6 0.7]].
Final Answer:
Option A -> Option A
Quick Check:
Small sigma blurs center pixel slightly [OK]

Quick Trick: Small sigma blurs center pixel slightly [OK]

Common Mistakes:

Expecting no change with sigma=0.5
Assuming output equals input
Misunderstanding rounding effects

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What is the output of this code?

Step 1: Understand input

Step 2: Effect of gaussian_filter with sigma=0.5

Step 3: Expected output

Final Answer:

Quick Check:

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