Morphological operations (erosion, dilation, opening, closing) in Computer Vision - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is erosion in morphological operations?

Erosion shrinks the white parts of an image by removing pixels on object boundaries. It helps remove small noise and detach connected objects.

beginner

What does dilation do in image processing?

Dilation grows or thickens the white regions in an image by adding pixels to object boundaries. It helps fill small holes and connect nearby objects.

intermediate

Explain the opening operation.

Opening is erosion followed by dilation. It removes small objects or noise while keeping the shape and size of larger objects intact.

intermediate

What is the purpose of closing in morphological operations?

Closing is dilation followed by erosion. It fills small holes and gaps inside objects without changing their overall shape.

beginner

How do erosion and dilation affect the size of objects in a binary image?

Erosion reduces object size by removing edge pixels, while dilation increases object size by adding pixels to edges.

Which morphological operation removes small noise from an image?

A Dilation

B Erosion

C Closing

D None of the above

Erosion removes small noise by shrinking white regions and eliminating small objects.

What operation is dilation followed by erosion?

A Erosion

B Opening

C Closing

D Dilation

Closing is dilation followed by erosion, used to fill small holes.

Which operation helps to connect nearby objects in a binary image?

A Erosion

B Opening

C None

D Dilation

Dilation adds pixels to object edges, connecting nearby objects.

Opening operation is best described as:

A Erosion then dilation

B Only dilation

C Only erosion

D Dilation then erosion

Opening is erosion followed by dilation to remove noise.

What effect does erosion have on object boundaries?

A Shrinks boundaries

B Expands boundaries

C Fills holes

D No effect

Erosion shrinks object boundaries by removing edge pixels.

Describe the differences between erosion and dilation in morphological operations.

Think about how each changes the size of white regions in a binary image.

Explain how opening and closing operations combine erosion and dilation and their practical uses.

Consider what problem each operation solves in image cleaning.