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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 15 of 18

Q141.
Thresholding formulation measures difference between
Discuss
Answer: (c).8 neighbors
Q142.
Lines not assumed as thin as referred to as
Discuss
Answer: (c).region
Q143.
If all the regions are labeled with same intensity then it produces
Discuss
Answer: (d).blocky effect
Q144.
Electronic components determines the image's
Discuss
Answer: (b).noise
Q145.
Segmentation is difficult for images that are
Discuss
Answer: (b).non trivial
Q146.
First derivative approximation says that value at ramp must be
Discuss
Answer: (a).nonzero
Q147.
Edge models are classified based upon their
Discuss
Answer: (c).intensities
Q148.
Gradient of an image is obtained through
Discuss
Answer: (c).partial derivation
Q149.
Examples of similarity approach in segmentation are
Discuss
Answer: (d).Both a and b
Q150.
What is the Euler number of the image shown below?

a.

0

b.

1

c.

2

d.

-1

Discuss
Answer: (d).-1

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