Exam Details
Subject | digital image processing | |
Paper | ||
Exam / Course | m.sc. computer science | |
Department | ||
Organization | solapur university | |
Position | ||
Exam Date | April, 2017 | |
City, State | maharashtra, solapur |
Question Paper
M.Sc. (Computer Science) IV) (CGPA) Examination, 2017
Digital Image Processing
Day Date: Monday, 24-04-2017 Max Marks: 70
Time: 02.30 PM to 5.00 PM
Instruction: Question no. 1 and 2 are compulsory.
Attempt any 3 questions from Q. no. 3 to Q. no. 7
Figures to the right indicate full marks.
Q.1 Choose correct alternatives. 10
Fluorescence in one of the applications in
Gamma ray imaging Infrared imaging
Microwave band Ultraviolet imaging
An image of size 32 x 32 pixels formed with 256 gray levels
need bits of storage space.
6400 8192 32768 262144
Histogram equalization will converts
Darker image into high contrast image
Brighter image into high contrast image
Low contrast image into high contrast image
All the above
For a one dimensional discrete signal with values
its Fourier transform is
1 5 9 45
Which of the following statement is not correct about
properties of frequency domain filtering?
The slowest varying frequency component corresponds to
the average gray level of an image
There is no direct association between specific
components of an image and its transform
It is difficult to restore original signals after applying
transform
The higher frequencies corresponds to edges and noise in
an image
Notch filter is
Low pass filter High pass filter
Sharpening filter Average filter
Page 2 of 4
The two principal properties used for establishing similarity of
edge pixels for edge linking through local processing are:
The difference of intensity values used to produce the
edge pixel.
ii) The strength of the response of the gradient operator used
to produce the edge pixel.
iii) The direction of the gradient vector
and
and
and
and
Thresholding generally converts
Color image, grayscale image
Color image, binary image
Grayscale image, binary image
Binary image, B/w image
A shape has 5 connected components, 12 edges, 6 vertices
and 8 holes. It has
3 7 9 10
10) Suppose 110011001010 and b 1100110000101101
are strings for two region boundaries? The measure of
Similarity R between both the strings
0.5 b)1 2 8
Fill in the blanks. 04
The necessary condition for contrast stretching with two
control points and to become thresholding
function and
The one-dimensional discrete Fourier transformation function
is expressed as
Techniques for detecting the three basic types of gray-level.
American Bankers Association 13B font character set has
characters.
Q.2 Write short notes of the following. 08
Imaging is ultraviolet band.
Rayleigh noise.
Answer the following. 06
Find the shortest digital path between P and Q using
m-adjacency.
1 1 1 0 0 0
P 0 1 1 0 1
0 1 0 1 1 1
Page 3 of 4
0 0 1 0 0 Q
1 1 0 1 0 1
1 1 0 0 1 1
A row of pixels in an image have following intensity values.
Compute their second derivatives.
4
Q.3 Answer the following. 14
Discuss one dimensional Fourier transform and its inverse.
What is the result of applying 3x3 mean filters on the following
image segment?
12 11 3 6 10
8 7 1 13 0
14 11 0 8 9
13 6 1 4 2
11 15 0 9 5
Q.4 Answer the following. 14
Describe adaptive local noise reduction filter.
Perform opening on a rectangle of width 6 cm and height 4 cm
using a circle of 1 cm radius. Clearly show all intermediate
steps.
Q.5 Answer the following. 14
Derive Laplacian second order derivative mask for edge
enhancement.
Fill in the following region using morphological region filling
algorithm.
Q.6 Answer the following. 14
Describe local processing algorithm for edge linking and
boundary detection.
The two classes of objects denoted by and have sample
mean vectors m1 and m2 respectively.
Compute decision boundary between these two objects.
Also find the class of object with features
Q.7 Answer the following. 14
How minimum distance classifier is used for object
Page 4 of 4
classification? Explain with an example.
Compute the covariance matrix for the following vectors:
1)T and
Digital Image Processing
Day Date: Monday, 24-04-2017 Max Marks: 70
Time: 02.30 PM to 5.00 PM
Instruction: Question no. 1 and 2 are compulsory.
Attempt any 3 questions from Q. no. 3 to Q. no. 7
Figures to the right indicate full marks.
Q.1 Choose correct alternatives. 10
Fluorescence in one of the applications in
Gamma ray imaging Infrared imaging
Microwave band Ultraviolet imaging
An image of size 32 x 32 pixels formed with 256 gray levels
need bits of storage space.
6400 8192 32768 262144
Histogram equalization will converts
Darker image into high contrast image
Brighter image into high contrast image
Low contrast image into high contrast image
All the above
For a one dimensional discrete signal with values
its Fourier transform is
1 5 9 45
Which of the following statement is not correct about
properties of frequency domain filtering?
The slowest varying frequency component corresponds to
the average gray level of an image
There is no direct association between specific
components of an image and its transform
It is difficult to restore original signals after applying
transform
The higher frequencies corresponds to edges and noise in
an image
Notch filter is
Low pass filter High pass filter
Sharpening filter Average filter
Page 2 of 4
The two principal properties used for establishing similarity of
edge pixels for edge linking through local processing are:
The difference of intensity values used to produce the
edge pixel.
ii) The strength of the response of the gradient operator used
to produce the edge pixel.
iii) The direction of the gradient vector
and
and
and
and
Thresholding generally converts
Color image, grayscale image
Color image, binary image
Grayscale image, binary image
Binary image, B/w image
A shape has 5 connected components, 12 edges, 6 vertices
and 8 holes. It has
3 7 9 10
10) Suppose 110011001010 and b 1100110000101101
are strings for two region boundaries? The measure of
Similarity R between both the strings
0.5 b)1 2 8
Fill in the blanks. 04
The necessary condition for contrast stretching with two
control points and to become thresholding
function and
The one-dimensional discrete Fourier transformation function
is expressed as
Techniques for detecting the three basic types of gray-level.
American Bankers Association 13B font character set has
characters.
Q.2 Write short notes of the following. 08
Imaging is ultraviolet band.
Rayleigh noise.
Answer the following. 06
Find the shortest digital path between P and Q using
m-adjacency.
1 1 1 0 0 0
P 0 1 1 0 1
0 1 0 1 1 1
Page 3 of 4
0 0 1 0 0 Q
1 1 0 1 0 1
1 1 0 0 1 1
A row of pixels in an image have following intensity values.
Compute their second derivatives.
4
Q.3 Answer the following. 14
Discuss one dimensional Fourier transform and its inverse.
What is the result of applying 3x3 mean filters on the following
image segment?
12 11 3 6 10
8 7 1 13 0
14 11 0 8 9
13 6 1 4 2
11 15 0 9 5
Q.4 Answer the following. 14
Describe adaptive local noise reduction filter.
Perform opening on a rectangle of width 6 cm and height 4 cm
using a circle of 1 cm radius. Clearly show all intermediate
steps.
Q.5 Answer the following. 14
Derive Laplacian second order derivative mask for edge
enhancement.
Fill in the following region using morphological region filling
algorithm.
Q.6 Answer the following. 14
Describe local processing algorithm for edge linking and
boundary detection.
The two classes of objects denoted by and have sample
mean vectors m1 and m2 respectively.
Compute decision boundary between these two objects.
Also find the class of object with features
Q.7 Answer the following. 14
How minimum distance classifier is used for object
Page 4 of 4
classification? Explain with an example.
Compute the covariance matrix for the following vectors:
1)T and
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