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).

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 13 of 18

Explore more Topics under Digital Image Processing (DIP)

01

Basics of Digital Image Processing

02

Digital Image Fundamentals

03

Intensity Transformations and Spatial Filtering

04

Filtering in Frequency Domain

05

Image Compression

06

Image Restoration and Reconstruction

07

Color Image Processing

08

Morphological Image Processing

09

Wavelet and Multiresolution Processing

10

Image Enhancement

Q121.

To avoid the negative values in lapacian image we use only

absolute values

positive values

negative values

Both a and b

Discuss

Answer: (b).positive values

Q122.

Masks for detection of specific lines are called

isolated

tuned

isomorphic

isotropic

Discuss

Answer: (b).tuned

Q123.

Line whose length and width is of one pixel is called

area

points

isolated point

edge

Discuss

Answer: (c).isolated point

Q124.

Detection of edge points is edge detection's

1st point

2nd point

3rd point

4th point

Discuss

Answer: (b).2nd point

Q125.

Intersection of two connected sets of an image should be

connected set

empty set

union

complement

Discuss

Answer: (b).empty set

Q126.

Isotropic detectors are independent of

pixels

directions

intensities

edges

Discuss

Answer: (b).directions

Q127.

For finding vertical lines we use mask of values

[-1 -1 -1; 2 2 2; -1 -1 -1]

[2 -1 -1; -1 2 -1; -1 -1 2]

[-1 2 -1; -1 2 -1; -1 2 -1]

[-1 -1 2; -1 2 -1;2 -1 -1]

Discuss

Answer: (c).[-1 2 -1; -1 2 -1; -1 2 -1]

Q128.

For diagonal edge detection we use 2D mask of

sobel gradient

Robert cross gradient

cross gradient

pre witt gradient

Discuss

Answer: (b).Robert cross gradient

Q129.

For finding lines at angle -45 we use mask of values

[-1 -1 -1; 2 2 2; -1 -1 -1]

[2 -1 -1; -1 2 -1; -1 -1 2]

[-1 2 -1; -1 2 -1; -1 2 -1]

[-1 -1 2; -1 2 -1;2 -1 -1]

Discuss

Answer: (d).[-1 -1 2; -1 2 -1;2 -1 -1]

Q130.

Gradient vector is also called

edge based segmentation

edge segment

edge pixels

edge normal

Discuss

Answer: (d).edge normal

Page 13 of 18

Welcome to the Image Segmentation MCQs Page

Image Segmentation MCQs | Page 13 of 18

Explore more Topics under Digital Image Processing (DIP)

Basics of Digital Image Processing

Digital Image Fundamentals

Intensity Transformations and Spatial Filtering

Filtering in Frequency Domain

Image Compression

Image Restoration and Reconstruction

Color Image Processing

Morphological Image Processing

Wavelet and Multiresolution Processing

Image Enhancement

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