Exam Details
Subject | image processing and analysis | |
Paper | ||
Exam / Course | m.sc. computer science | |
Department | ||
Organization | Alagappa University Distance Education | |
Position | ||
Exam Date | May, 2016 | |
City, State | tamil nadu, karaikudi |
Question Paper
DISTANCE EDUCATION
M.Sc. (Computer Science) DEGREE EXAMINATION,
MAY 2016.
IMAGE PROCESSING AND ANALYSIS
(2007 onwards)
Time Three hours Maximum 100 marks
SECTION A — (10 3 30 marks)
Answer ALL questions.
1. What is the perspective of a digital image?
2. Mention the elements of digital geometry.
3. Give the importance of restoration.
4. Why the filters are used?
5. How to measure the error criteria in image compression?
6. What is meant by a stereo image?
7. Define thresholding.
8. How corner detection is performed?
9. Mention the geometrical attributes in feature extraction.
10. What is meant by graph matching?
SECTION B — × 10 40 marks)
Answer any FOUR questions.
11. How shape detection and recognition is done in digital
image?
12. Discuss on photometric model.
Sub. Code
24
DE-3681
2
wk14
13. What is smoothing? Discuss on edge-preserving
smoothing.
14. Briefly discuss on
Block coding
Contour coding
15. What is edge detection? Discuss on the pattern filling
approaches in it.
16. Discuss the following
Fuzzy mathematical recognition
Syntactic recognition.
SECTION C — × 15 30 marks)
Answer any TWO questions.
17. Discuss the following visual preliminaries in a digital
image
Brightness adaptation and contrast
Shape detection and recognition
Perception of colour.
18. Explain the following methods
Lossy compression
Loss-less compression.
19. What is description? Discuss the following
Boundary-based description
Region-based description.
M.Sc. (Computer Science) DEGREE EXAMINATION,
MAY 2016.
IMAGE PROCESSING AND ANALYSIS
(2007 onwards)
Time Three hours Maximum 100 marks
SECTION A — (10 3 30 marks)
Answer ALL questions.
1. What is the perspective of a digital image?
2. Mention the elements of digital geometry.
3. Give the importance of restoration.
4. Why the filters are used?
5. How to measure the error criteria in image compression?
6. What is meant by a stereo image?
7. Define thresholding.
8. How corner detection is performed?
9. Mention the geometrical attributes in feature extraction.
10. What is meant by graph matching?
SECTION B — × 10 40 marks)
Answer any FOUR questions.
11. How shape detection and recognition is done in digital
image?
12. Discuss on photometric model.
Sub. Code
24
DE-3681
2
wk14
13. What is smoothing? Discuss on edge-preserving
smoothing.
14. Briefly discuss on
Block coding
Contour coding
15. What is edge detection? Discuss on the pattern filling
approaches in it.
16. Discuss the following
Fuzzy mathematical recognition
Syntactic recognition.
SECTION C — × 15 30 marks)
Answer any TWO questions.
17. Discuss the following visual preliminaries in a digital
image
Brightness adaptation and contrast
Shape detection and recognition
Perception of colour.
18. Explain the following methods
Lossy compression
Loss-less compression.
19. What is description? Discuss the following
Boundary-based description
Region-based description.
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