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Book online ยซMCQ ON DIGITAL IMAGE PROCESSING by KALAIVANI NAGARAJAN, SATHYA SENTHILNATHAN (novels to read in english txt) ๐Ÿ“–ยป. Author KALAIVANI NAGARAJAN, SATHYA SENTHILNATHAN



IMCQ ON IMAGE ENHANCEMENT

DIGITAL IMAGE PROCESSING

MULTI CHOICE QUESTIONS

 

IMAGE ENHANCEMENT

1. Histogram is technique processed in

intensity domain

frequency domain

spatial domain

undefined domain

C

2. Sum of all components in normalized histogram is equal to

100

2

0

1

D

3. Pixel to pixel movement of center and to define neighborhood is

local histogram processing

equalized histogram processing

normalized histogram processing

global histogram processing

A

4. Local histogram processing deals with

whole image

slices of image

center of image

edges of image

B

5. Digital image with intensity levels in range [0,L-1] is called

k-map

histogram

truth table

graph

B

6. Method generating a processed image having specified histogram is called

histogram enhancement

histogram normalization

histogram equalization

histogram matching

D

7. In expression s = Tr, Tr, in range 0 = < r = < L-1 is the

strictly monotonically increasing function

monotonically increasing function

monotonically decreasing function

strictly monotonically decreasing function

A

8. PDF in histogram equalization stands for

probability dual function

partial density function

parametric density function

probability density function

D

9. Strictly monotonical function guarantee inverse mapping as

dual valued

single valued

multi valued

running sum

B

10. Probability density functions are always

decreasing

increasing

positive

negative

C

11. Image can be blurred using

low pass filter

contouring

erosion

high pass filter

A

12. Image can be sharpened using

low pass filter

contouring

erosion

high pass filter

D

13. High pass filters promotes

low intensity components

mid intensity components

high intensity components

all components

C

14. Low pass filters promotes

low intensity components

mid intensity components

high intensity components

all components

A

15. Smoothing filters are mostly used in

blurring

noise reduction

contrast

Both A and B

D

16. 1024 x 1024 image has resolution of

1048576

1148576

1248576

1348576

A

17. In MxN, M is no of

intensity levels

colors

rows

columns

C

18. Type of zooms are

8

6

4

2

D

19. DPI stands for

dots per image

dots per inches

dots per intensity

diameter per inches

B

20. In MxN, N is no of

intensity levels

colors

rows

columns

D

21. Process involved in linear spatial filtering is

correlation

convolution

histogram equalization

Both A and B

D

22. Fourier transform of unit impulse at origin is

undefined

infinity

1

0

C

23. Sum of cosines and sines coefficient multiplied is

Fourier series

Fourier transform

fast Fourier series

fast Fourier transform

A

24. Fourier transform's domain is

frequency domain

spatial domain

Fourier domain

time domain

A

25. Impulse has property called

rotating property

shifting property

additive property

additive inverse

B

26. A complex number is defined as

c = jI

c = R+jI

c = R

c = R+I

B

27. Name that does not relates to spatial filters

spatial masks

PDF

kernels

templates

B

28. Spatial filtering method uses

low pass filter

high pass filter

bandpass filter

spatial filter

D

29. Principle tools used in image processing for a broad spectrum of applications

low pass filtering

intensity filtering

spatial filtering

high pass filtering

C

30. Log transformation is given by formula

s = clog(r)

s = clog(1+r)

s = clog(2+r)

s = log(1+r)

B

31. In formula s = clog(1+r), r ranges

r >= 0

r >= 1

0 >= r

1 >= r

A

32. Giving one period of periodic convolution is called

periodic convolution

aperiodic convolution

correlation

circular convolution

D

33. Forward and inverse Fourier transforms exist for samples having values

integers

infinite

finite

discrete

C

34. Band limited function can be recovered from its samples if acquired samples are at rate twice highest frequency, this theorem is called

sampling theorem

sampling theorem

sampling theorem

sampling theorem

A

35. Any function whose Fourier transform is zero for frequencies outside finite interval is called

high pass function

low pass function

band limited function

band pass function

C

36. Sampled frequency less than nyquist rate is called

under sampling

over sampling

critical sampling

nyquist sampling

A

37. Effect caused by under sampling is called

smoothing

sharpening

summation

aliasing

D

38. Product of two functions in spatial domain is what, in frequency domain

correlation

convolution

Fourier transform

fast Fourier transform

B

39. The principle energy source for images

electrical spectrum

magnetic spectrum

electro spectrum

electro magnetic spectrum

D

40. The most energetic rays of EM energy spectrum

gamma rays

x-rays

ultraviolet rays

visible rays

A

Imprint

Publication Date: 06-24-2016

All Rights Reserved

Dedication:
tHIS BOOK IS DEDICATED TO MY GURU, MY COLLEGE AND MY LITTLE DEAR LAKSHITH NIRANJAN AND MY HUSBAND NAGARAJAN FOR THEIR SUPPORT.

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