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Welcome to the Image Segmentation MCQs Page

Dive deep into the fascinating world of Image Segmentation with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Image Segmentation, a crucial aspect of Digital Image Processing (DIP). In this section, you will encounter a diverse range of MCQs that cover various aspects of Image Segmentation, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Digital Image Processing (DIP).

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Check out the MCQs below to embark on an enriching journey through Image Segmentation. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Digital Image Processing (DIP).

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Image Segmentation. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Image Segmentation MCQs | Page 8 of 18

Explore more Topics under Digital Image Processing (DIP)

Q71.
Image intensities are normally ranged to

a.

[0 1]

b.

[0 2]

c.

[0 255]

d.

[0 256]

Discuss
Answer: (a).[0 1]
Q72.
Edge detector method is used to detect

a.

area

b.

line

c.

point

d.

edge

Discuss
Answer: (d).edge
Q73.
Accuracy of image segmentation can be improved by the type of

a.

processes

b.

images

c.

divisions

d.

sensors

Discuss
Answer: (d).sensors
Q74.
During segmentation every pixel of an image should be in

a.

connected set

b.

boundaries

c.

region

d.

concerned area

Discuss
Answer: (c).region
Q75.
The vertical gradient pixels are denoted by

a.

Gx

b.

Gy

c.

Gt

d.

Gs

Discuss
Answer: (b).Gy
Q76.
For line detection we use

a.

first derivative

b.

second derivative

c.

third derivative

d.

Both a and b

Discuss
Answer: (b).second derivative
Q77.
Marr hildreth method was introduced for

a.

sharpening

b.

segmentation

c.

edge finding

d.

recognition

Discuss
Answer: (c).edge finding
Q78.
When the desired object is detected segmentation should be

a.

paused

b.

cleared

c.

continued

d.

stopped

Discuss
Answer: (d).stopped
Q79.
Similarity approach of segmentation depends upon

a.

low frequencies

b.

smooth changes

c.

abrupt changes

d.

contrast

Discuss
Answer: (b).smooth changes
Q80.
For edge detection we combine gradient with

a.

sharpening

b.

set theory

c.

smoothing

d.

thresholding

Discuss
Answer: (d).thresholding
Page 8 of 18

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