Download GTU (Gujarat Technological University) BE/BTech (Bachelor of Engineering / Bachelor of Technology) 2019 Summer 8th Sem New 2182006 Machine Vision Previous Question Paper
Seat No.: ________ Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER ?VIII(NEW) EXAMINATION ? SUMMER 2019
Subject Code:2182006 Date:09/05/2019
Subject Name:Machine Vision
Time:10:30 AM TO 01:00 PM Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
4. Draw neat diagrams. Diagrams with inferior quality may not be awarded any credit.
MARKS
Q.1 (a) Describe Match Band effect using suitable figures.
03
(b) Briefly explain the effect of ?checker board? and ?false contouring? in digital
image processing.
04
(c) Define 4-adjacency, 8-adjacency and m-adjacency between pixels of digital
image. Also bring out significance of these pixel relationships.
07
Q.2 (a) Differentiate between spatial domain and frequency domain digital image
processing for image enhancement.
03
(b) Give various suitable examples of image blurring to bring out its field of
application.
04
(c) With the help of graphical representation explain basic transfer functions,
which are commonly used in digital image processing.
07
OR
(c) Differentiate between Butter worth low pass filter and Butter worth high pass
filter for image enhancement. Support your answer with suitable explanation
and graphical representation of both filters.
07
Q.3 (a) Briefly explain the working of band reject filters using graphical
representation.
03
(b) With the help of suitable description and diagrams explain the utility of bit-
plane-slicing in digital image processing.
04
(c) Explain with the help of graphical representation the effect of intensity of
illumination on Weber ratio in digital image. Also comment on the effect of
Weber ratio on brightness discrimination.
07
OR
Q.3 (a) Bring out the concept of edge enhancement technique in spatial domain.
03
(b) What is a role of gray level sling in digital image processing? Explain with
the help of suitable example and graphical representation.
04
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Seat No.: ________ Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER ?VIII(NEW) EXAMINATION ? SUMMER 2019
Subject Code:2182006 Date:09/05/2019
Subject Name:Machine Vision
Time:10:30 AM TO 01:00 PM Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
4. Draw neat diagrams. Diagrams with inferior quality may not be awarded any credit.
MARKS
Q.1 (a) Describe Match Band effect using suitable figures.
03
(b) Briefly explain the effect of ?checker board? and ?false contouring? in digital
image processing.
04
(c) Define 4-adjacency, 8-adjacency and m-adjacency between pixels of digital
image. Also bring out significance of these pixel relationships.
07
Q.2 (a) Differentiate between spatial domain and frequency domain digital image
processing for image enhancement.
03
(b) Give various suitable examples of image blurring to bring out its field of
application.
04
(c) With the help of graphical representation explain basic transfer functions,
which are commonly used in digital image processing.
07
OR
(c) Differentiate between Butter worth low pass filter and Butter worth high pass
filter for image enhancement. Support your answer with suitable explanation
and graphical representation of both filters.
07
Q.3 (a) Briefly explain the working of band reject filters using graphical
representation.
03
(b) With the help of suitable description and diagrams explain the utility of bit-
plane-slicing in digital image processing.
04
(c) Explain with the help of graphical representation the effect of intensity of
illumination on Weber ratio in digital image. Also comment on the effect of
Weber ratio on brightness discrimination.
07
OR
Q.3 (a) Bring out the concept of edge enhancement technique in spatial domain.
03
(b) What is a role of gray level sling in digital image processing? Explain with
the help of suitable example and graphical representation.
04
2
(c) Briefly explain the digital image processing in which the illumination and
reflectance components of image have been separated out for the purpose of
image enhancement. What kind of enhancement will be observed in image?
07
Q.4 (a) Define histogram. Draw histograms of dark, bright, poor contrast and high
contrast images separately. Superimpose on these histograms the transfer
functions derived from histogram equalization to stretch them.
03
(b) Bring out the usefulness of Alpha-trimmed mean filter for noise removal from
digital image.
04
(c) Describe image subtraction process. Give suitable examples of image
subtraction process in different areas.
07
OR
Q.4 (a) Derive two dimensional Laplacian filter in frequency domain for image
enhancement. What is the use of Laplacian filter in image processing
application?
03
(b) Explain the procedure to remove additive periodic noise from the digital
image.
04
(c) How does adaptive filter differ from other regular filters for noise reduction
in digital image? Describe in detail the working of adaptive median filter with
the help of its algorithms.
07
Q.5 (a) What is called as ?Isopreference curve? in digital image processing? Briefly
describe the characteristics of Isopreference curves for various images with
different contents.
03
(b) Discuss various methods available to bridge the gap of broken character for
character recognition.
04
(c) Briefly describe the coding redundancy and inter pixel redundancy observed
in digital images. Also explain the ways to overcome them.
07
OR
Q.5 (a) Describe in brief the concept of ?Unsharp-masking? in digital image
processing.
03
(b) Describe the working principle of erosion process used on binary digital
image with suitable illustration.
04
(c) Explain the method of Huffman coding technique to compress a digital image
with suitable example.
07
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This post was last modified on 20 February 2020