SciPy - Image Processing (scipy.ndimage)
You want to resize a grayscale image stored as a 2D numpy array to half its size using cubic interpolation. Which code snippet correctly achieves this?
You want to resize a grayscale image stored as a 2D numpy array to half its size using cubic interpolation. Which code snippet correctly achieves this?
hard📝 Application Q8 of 15
Step-by-Step Solution
Solution:
Step 1: Determine zoom factor for half size
To reduce size by half, zoom factor should be 0.5.Step 2: Select interpolation order for cubic
Cubic interpolation corresponds to order=3.Final Answer:
zoomed_img = zoom(img, 0.5, order=3) -> Option DQuick Check:
Half size + cubic = zoom 0.5, order 3 [OK]
Quick Trick: Use zoom=0.5 and order=3 for half size cubic interpolation [OK]
Common Mistakes:
- Using zoom=2 instead of 0.5 for shrinking
- Using order=0 or order=1 instead of 3 for cubic
- Confusing zoom factor direction
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