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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 12 of 18

Explore more Topics under Digital Image Processing (DIP)

Q111.
Canny edge detection algorithm is based on

a.

ideal model

b.

step edge

c.

real model

d.

smoothing model

Discuss
Answer: (b).step edge
Q112.
First derivatives are zero at points on

a.

ramp

b.

step

c.

constant intensity

d.

edge

Discuss
Answer: (c).constant intensity
Q113.
The resolution of the image (12x12) is

a.

12

b.

128

c.

144

d.

256

Discuss
Answer: (c).144
Q114.
In laplacian images mid gray level is represented by

a.

0

b.

1

c.

positive

d.

negative

Discuss
Answer: (a).0
Q115.
Locating the center of thick edges we use

a.

discontinuity

b.

constant intensities

c.

continuity

d.

zero crossing

Discuss
Answer: (d).zero crossing
Q116.
Strong Heat signatures can be detected using

a.

infrared imaging

b.

x-ray imaging

c.

microwave imaging

d.

UV imaging

Discuss
Answer: (a).infrared imaging
Q117.
Second derivatives have stronger response to

a.

noise

b.

thin lines

c.

edges

d.

Both a and b

Discuss
Answer: (d).Both a and b
Q118.
Edge pixels lie on darker or bright side of image can be determined by the

a.

sign of first derivative

b.

sign of second derivative

c.

sign of third derivative

d.

Both a and b

Discuss
Answer: (b).sign of second derivative
Q119.
First derivatives in image segmentation produces

a.

thick edges

b.

thin edges

c.

fine edges

d.

rough edges

Discuss
Answer: (a).thick edges
Q120.
Edge localization id edge detection's

a.

1st point

b.

2nd point

c.

3rd point

d.

4th point

Discuss
Answer: (c).3rd point
Page 12 of 18

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