SciPy - Image Processing (scipy.ndimage)
You have a binary image with noise: small isolated pixels scattered randomly. How can you use connected component labeling with scipy to remove noise by keeping only components larger than 2 pixels?
You have a binary image with noise: small isolated pixels scattered randomly. How can you use connected component labeling with scipy to remove noise by keeping only components larger than 2 pixels?
hard📝 Application Q15 of 15
Step-by-Step Solution
Solution:
Step 1: Label connected components in the binary image
Use scipy.ndimage.label to assign unique labels to each connected group of pixels.Step 2: Count the size of each labeled component and filter
Calculate the size of each component and remove those with size less than or equal to 2 pixels to eliminate noise.Final Answer:
Label components, count sizes, then remove components with size ≤ 2 -> Option AQuick Check:
Filter small components after labeling to remove noise [OK]
Quick Trick: Label, count sizes, remove small components to clean noise [OK]
Common Mistakes:
- Expecting label() to filter by size automatically
- Using image blur instead of component filtering
- Inverting image does not remove noise directly
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