[Solved] You have a noisy binary image with small white dots scatter... Which sequence of morphological operations using scipy.ndimage would best remove these small dots but keep the main shape mostly intact? | SciPy

SciPy - Image Processing (scipy.ndimage)

You have a noisy binary image with small white dots scattered outside the main object. Which sequence of morphological operations using scipy.ndimage would best remove these small dots but keep the main shape mostly intact?

AApply erosion followed by dilation (opening) to remove small objects.

BApply dilation followed by erosion (closing) to fill small holes.

CApply only dilation to enlarge all white areas.

DApply only erosion to shrink all white areas drastically.

Step-by-Step Solution

Solution:

Step 1: Understand noise removal goal
Small white dots are noise; we want to remove them without changing main shape much.
Step 2: Choose correct morphological sequence
Opening (erosion then dilation) removes small objects but keeps main shape. Closing fills holes, not remove dots.
Final Answer:
Apply erosion followed by dilation (opening) to remove small objects. -> Option A
Quick Check:
Opening = erosion + dilation removes noise [OK]

Quick Trick: Use opening (erosion then dilation) to remove small noise [OK]

Common Mistakes:

Using closing instead of opening for noise removal
Applying only dilation or erosion alone
Confusing noise removal with hole filling

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More SciPy Quizzes

Which sequence of morphological operations using scipy.ndimage would best remove these small dots but keep the main shape mostly intact?

Step 1: Understand noise removal goal

Step 2: Choose correct morphological sequence

Final Answer:

Quick Check:

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