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.


Subjects

  • c++ and data structures – lab i
  • computer architecture
  • computer networks
  • data structures using c++
  • database management systems
  • image processing and analysis
  • internet programming — lab
  • internet programming and web design
  • mathematical foundation of computer science
  • operating systems
  • software engineering
  • visual programming
  • visual programming – lab