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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 5 of 18

Explore more Topics under Digital Image Processing (DIP)

Q41.
A line is viewed as

a.

area

b.

edge segment

c.

point

d.

edge

Discuss
Answer: (b).edge segment
Q42.
Sobel is better than prewitt in image

a.

sharpening

b.

blurring

c.

smoothing

d.

contrast

Discuss
Answer: (c).smoothing
Q43.
Intensity's local changes can be detected through

a.

differentiation

b.

derivation

c.

addition

d.

integration

Discuss
Answer: (b).derivation
Q44.
For line detection we assume that lines are

a.

thin

b.

thick

c.

sharp

d.

blur

Discuss
Answer: (a).thin
Q45.
Example of similarity approach in image segmentation is

a.

edge based segmentation

b.

boundary based segmentation

c.

region based segmentation

d.

Both a and b

Discuss
Answer: (c).region based segmentation
Q46.
The preferred direction of mask is weighted with the

a.

low value coefficients

b.

high value coefficients

c.

mid value coefficients

d.

double value coefficients

Discuss
Answer: (b).high value coefficients
Q47.
Points other than exceeding the threshold in output image are marked as

a.

0

b.

1

c.

11

d.

x

Discuss
Answer: (a).0
Q48.
In laplacian images dark shades of gray level is represented by

a.

0

b.

1

c.

positive

d.

negative

Discuss
Answer: (d).negative
Q49.
Pixels where intensity changes abruptly are called

a.

area pixels

b.

line pixels

c.

point pixels

d.

edge pixels

Discuss
Answer: (d).edge pixels
Q50.
Isolated point is also called

a.

edge point

b.

noise point

c.

ramp

d.

step

Discuss
Answer: (b).noise point
Page 5 of 18

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