Exam Details

Subject image processing and analysis
Paper
Exam / Course m.sc. computer science
Department
Organization Alagappa University Distance Education
Position
Exam Date December, 2017
City, State tamil nadu, karaikudi


Question Paper

DISTANCE EDUCATION
M.Sc. (Computer Science) DEGREE EXAMINATION,
DECEMBER 2017.
IMAGE PROCESSING AND ANALYSIS
(2007 onwards)
Time Three hours Maximum 100 marks
PART A — (10 × 3 30 marks)
Answer ALL questions.
1. What is the difference between intensity and brightness?
2. Define the term scenes and images.
3. What are the categories of degradation?
4. Define signal-to-noise ratio.
5. How can region be extracted?
6. What are the two important properties of segmentation?
7. What is Karhunen-Loeve transform?
8. What is critical pixel and end pixel?
9. What is genus of an image?
10. What are the criteria considered by the canny for
localizing edges?
Sub. Code
24
DE-2797
2
Ws 5
PART B — × 10 40 marks)
Answer any FOUR questions.
11. List out the components of an Image processing systems.
12. Elucidate on linear and non-linear stretching with
example.
13. Describe restoration by maximum a posterior estimation.
14. Describe the various steps in canonical frame
registration.
15. Discuss the method of processing satellite image.
16. Explain syntactic pattern recognition with an example.
PART C — × 15 30 marks)
Answer any TWO questions.
17. Write an account on Medical image processing.
Explain the difference between gray image and
color image.
18. Explain the following coding methods with suitable
examples.
Run-length coding
Block coding.
19. Explain in short on Line and Corner detection.
Give a brief note on Clustering.
————————


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