SciPy - Image Processing (scipy.ndimage)
You want to apply a Gaussian filter to each color channel of an RGB image separately. Which code correctly does this?
You want to apply a Gaussian filter to each color channel of an RGB image separately. Which code correctly does this?
hard📝 Application Q9 of 15
Step-by-Step Solution
Solution:
Step 1: Understand filtering per channel
Applying gaussian_filter directly to 3D image blurs across channels, which is usually undesired.Step 2: Check each option
result = np.stack([gaussian_filter(img[:,:,i], sigma=2) for i in range(3)], axis=2) applies filter separately to each channel and stacks results, preserving channel info. result = gaussian_filter(img, sigma=2) filters all channels together. result = gaussian_filter(img, sigma=[2,2,2]) sets sigma per dimension including channels, blurring across color channels. result = gaussian_filter(img, sigma=2, axis=2) uses non-existent axis parameter.Final Answer:
result = np.stack([gaussian_filter(img[:,:,i], sigma=2) for i in range(3)], axis=2) -> Option DQuick Check:
Filter channels separately = C [OK]
Quick Trick: Filter each channel separately, then stack [OK]
Common Mistakes:
- Filtering all channels together
- Passing sigma as list
- Using invalid parameters
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