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Welcome to the Intensity Transformations and Spatial Filtering MCQs Page

Dive deep into the fascinating world of Intensity Transformations and Spatial Filtering with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Intensity Transformations and Spatial Filtering, a crucial aspect of Digital Image Processing (DIP). In this section, you will encounter a diverse range of MCQs that cover various aspects of Intensity Transformations and Spatial Filtering, 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 Intensity Transformations and Spatial Filtering. 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 Intensity Transformations and Spatial Filtering. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Intensity Transformations and Spatial Filtering MCQs | Page 13 of 27

Explore more Topics under Digital Image Processing (DIP)

Q121.
A filter that passes low frequencies is _____________

a.

Band pass filter

b.

High pass filter

c.

Low pass filter

d.

None of the Mentioned

Discuss
Answer: (c).Low pass filter
Q122.
What is the process of moving a filter mask over the image and computing the sum of products at each location called as?

a.

Convolution

b.

Correlation

c.

Linear spatial filtering

d.

Non linear spatial filtering

Discuss
Answer: (b).Correlation
Q123.
The standard deviation controls ___________ of the bell (2-D Gaussian function of bell shape).

a.

Size

b.

Curve

c.

Tightness

d.

None of the Mentioned

Discuss
Answer: (c).Tightness
Q124.
What is required to generate an M X N linear spatial filter?

a.

MN mask coefficients

b.

M+N coordinates

c.

MN spatial coefficients

d.

None of the Mentioned

Discuss
Answer: (a).MN mask coefficients
Q125.
What is the difference between Convolution and Correlation?

a.

Image is pre-rotated by 180 degree for Correlation

b.

Image is pre-rotated by 180 degree for Convolution

c.

Image is pre-rotated by 90 degree for Correlation

d.

Image is pre-rotated by 90 degree for Convolution

Discuss
Answer: (b).Image is pre-rotated by 180 degree for Convolution
Q126.
Convolution and Correlation are functions of _____________

a.

Distance

b.

Time

c.

Intensity

d.

Displacement

Discuss
Answer: (d).Displacement
Q127.
The function that contains a single 1 with the rest being 0s is called ______________

a.

Identity function

b.

Inverse function

c.

Discrete unit impulse

d.

None of the Mentioned

Discuss
Answer: (c).Discrete unit impulse
Q128.
Which of the following involves Correlation?

a.

Matching

b.

Key-points

c.

Blobs

d.

None of the Mentioned.

Discuss
Answer: (a).Matching
Q129.
An example of a continuous function of two variables is __________

a.

Gaussian function

b.

Intensity function

c.

Contrast stretching

d.

None of the above

Discuss
Answer: (a).Gaussian function
Q130.
The histogram of a digital image with gray levels in the range [0, L-1] is represented by a discrete function:

a.

h(r_k)=n_k

b.

h(r_k )=n/n_k

c.

p(r_k )=n_k

d.

h(r_k )=n_k/n

Discuss
Answer: (a).h(r_k)=n_k
Page 13 of 27

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