SciPy - Image Processing (scipy.ndimage)
Which code snippet correctly applies a Gaussian filter with
sigma=2 to a 2D numpy array img?Which code snippet correctly applies a Gaussian filter with sigma=2 to a 2D numpy array img?
easy📝 Conceptual Q3 of 15
Step-by-Step Solution
Solution:
Step 1: Import correct function
The Gaussian filter is in scipy.ndimage, so import from scipy.ndimage.Step 2: Apply filter with sigma=2
Call gaussian_filter(img, sigma=2) with sigma as a number, not string.Step 3: Check options
from scipy.ndimage import gaussian_filter filtered_img = gaussian_filter(img, sigma=2) correctly imports and applies the filter. import scipy filtered_img = scipy.gaussian_filter(img, sigma=2) uses wrong import. from scipy.ndimage import gaussian_filter filtered_img = gaussian_filter(img, 2, mode='nearest') passes sigma as positional but adds mode (allowed but not asked). import scipy.ndimage filtered_img = scipy.ndimage.gaussian_filter(img, sigma='2') passes sigma as string which is invalid.Final Answer:
Option A -> Option AQuick Check:
Correct import and numeric sigma [OK]
Quick Trick: Import from scipy.ndimage and use numeric sigma [OK]
Common Mistakes:
- Using incorrect import statements
- Passing sigma as a string instead of a number
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