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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 14 of 27

Explore more Topics under Digital Image Processing (DIP)

Q131.
How is the expression represented for the normalized histogram?

a.

p(r_k )=n_k

b.

p(r_k )=n_k/n

c.

p(r_k)=nn_k

d.

p(r_k )=n/n_k

Discuss
Answer: (b).p(r_k )=n_k/n
Q132.
Which of the following conditions does the T(r) must satisfy?

a.

T(r) is double-valued and monotonically decreasing in the interval 0≤r≤1; and

b.

T(r) is double-valued and monotonically increasing in the interval 0≤r≤1; and

c.

T(r) is single-valued and monotonically decreasing in the interval 0≤r≤1; and

d.

T(r) is single-valued and monotonically increasing in the interval 0≤r≤1; and

Discuss
Answer: (d).T(r) is single-valued and monotonically increasing in the interval 0≤r≤1; and
Q133.
The inverse transformation from s back to r is denoted as:

a.

s=T^-1(r) for 0≤s≤1

b.

r=T^-1(s) for 0≤r≤1

c.

r=T^-1(s) for 0≤s≤1

d.

r=T^-1(s) for 0≥s≥1

Discuss
Answer: (c).r=T^-1(s) for 0≤s≤1
Q134.
The probability density function p_s (s) of the transformed variable s can be obtained by using which of the following formula?

a.

p_s (s)=p_r (r)|dr/ds|

b.

p_s (s)=p_r (r)|ds/dr|

c.

p_r (r)=p_s (s)|dr/ds|

d.

p_s (s)=p_r (r)|dr/dr|

Discuss
Answer: (a).p_s (s)=p_r (r)|dr/ds|
Q135.
A transformation function of particular importance in image processing is represented in which of the following form?

a.

s=T(r)=∫0^(2r)pr (ω)dω

b.

s=T(r)=∫0^(r-1)pr (ω)dω

c.

s=T(r)=∫0^(r/2)pr (ω)dω

d.

s=T(r)=∫0 pr (ω)dω

Discuss
Answer: (d).s=T(r)=∫0 pr (ω)dω
Q136.
Histogram equalization or Histogram linearization is represented by of the following equation:

a.

sk =∑k j =1 nj/n k=0,1,2,……,L-1

b.

sk =∑k j =0 nj/n k=0,1,2,……,L-1

c.

sk =∑k j =0 n/nj k=0,1,2,……,L-1

d.

sk =∑k j =n nj/n k=0,1,2,……,L-1

Discuss
Answer: (b).sk =∑k j =0 nj/n k=0,1,2,……,L-1
Q137.
What is the method that is used to generate a processed image that have a specified histogram?

a.

Histogram linearization

b.

Histogram equalization

c.

Histogram matching

d.

Histogram processing

Discuss
Answer: (c).Histogram matching
Q138.
Histograms are the basis for numerous spatial domain processing techniques.

a.

True

b.

False

c.

May be

d.

Can't Say

Discuss
Answer: (a).True
Q139.
In a dark image, the components of histogram are concentrated on which side of the grey scale?

a.

High

b.

Medium

c.

Low

d.

Evenly distributed

Discuss
Answer: (c).Low
Q140.
What is the basis for numerous spatial domain processing techniques?

a.

Transformations

b.

Scaling

c.

Histogram

d.

None of the Mentioned

Discuss
Answer: (c).Histogram
Page 14 of 27

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