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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 11 of 18

Explore more Topics under Digital Image Processing (DIP)

Q101.
In the sense of predicate two regions of the image must be

a.

same

b.

disjoint

c.

different

d.

overlapped

Discuss
Answer: (c).different
Q102.
If all lines in the direction of defined direction of mask are wished to be found then we use

a.

thick edges

b.

thin edges

c.

thresholding

d.

enhancement

Discuss
Answer: (c).thresholding
Q103.
If inside the boundary is white otherwise black predicate is

a.

TRUE

b.

FALSE

c.

1

d.

0

Discuss
Answer: (a).TRUE
Q104.
One angle at which the lines in an image are not oriented is

a.

0

b.

30

c.

45

d.

90

Discuss
Answer: (c).45
Q105.
Edge detection is based on

a.

abrupt changes

b.

smooths changes

c.

thickness of edges

d.

thinness of edges

Discuss
Answer: (a).abrupt changes
Q106.
Dividing image into its objects is called

a.

Division

b.

segmentation

c.

extraction

d.

recognition

Discuss
Answer: (b).segmentation
Q107.
The coefficients of masks sum to

a.

0

b.

1

c.

positive

d.

negative

Discuss
Answer: (a).0
Q108.
Sum of coefficients of derivative mask is

a.

0

b.

1

c.

positive

d.

negative

Discuss
Answer: (a).0
Q109.
Fine details can be reduced by

a.

sharpening

b.

constant intensities

c.

smoothing

d.

contrast

Discuss
Answer: (c).smoothing
Q110.
The sum of LOG filter coefficients should be

a.

1

b.

0

c.

positive

d.

negative

Discuss
Answer: (b).0
Page 11 of 18

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