Distance Measures in Image Processing

Distance Measures in Image Processing

Assessment

Interactive Video

Computers

9th - 10th Grade

Hard

Created by

Thomas White

FREE Resource

This lecture covers various distance measures between pixels, including Euclidean, city block, chessboard, and DM distances. Each type of distance is explained with its formula and properties. The lecture also includes example problems to demonstrate the calculation of these distances, highlighting the differences in path dependency and connectivity.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main topic of the fifth lecture in the DIP series?

Color models in image processing

Distance measures between pixels

Image compression techniques

Edge detection methods

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which formula is used to calculate Euclidean distance between two points?

Absolute value of x - s + y - t

Shortest path between points

Root of (x - s)^2 + (y - t)^2

Max of |x - s|, |y - t|

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is another name for City Block distance?

Geodesic distance

Euclidean distance

Diagonal distance

Manhattan distance

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In City Block distance, how is movement restricted?

Only diagonal movement is allowed

Movement is restricted to horizontal and vertical paths

Only circular paths are allowed

Movement is unrestricted

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the formula for Chessboard distance?

Root of (x - s)^2 + (y - t)^2

Shortest path between points

Absolute value of x - s + y - t

Max of |x - s|, |y - t|

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does Chessboard distance differ from City Block distance?

It allows diagonal movement

It restricts movement to horizontal paths

It is not used in image processing

It uses a different formula for calculation

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is unique about DM distance compared to D4 and D8?

It depends on the shortest path and pixel values

It is independent of paths

It is the longest path between points

It only considers diagonal paths

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