Exam Details
| Subject | image processing | |
| Paper | ||
| Exam / Course | m.sc. computers | |
| Department | ||
| Organization | acharya nagarjuna university-distance education | |
| Position | ||
| Exam Date | May, 2017 | |
| City, State | new delhi, new delhi |
Question Paper
Total No. of Questions 18] [Total No. of Pages 2
M.Sc. DEGREE EXAMINATION, MAY 2017
COMPUTER SCIENCE
Second Year
Image Processing
Time 3 Hours Maximum Marks 70
SECTION A × 15 45)
Answer any Three questions
Q1) What is image processing? Explain about various components of digital image
processing?
Q2) Explain how an image can be represented in digital form?
Q3) Explain how logical operations are used to enhance the image with example?
Q4) Draw and explain the general compression system model?
Q5) Explain the segmentation based on Region Growing?
SECTION B × 4 20)
Answer any Five questions
Q6) Discuss about elements of visual perception?
Q7) Write an algorithm for histogram equalization?
Q8) Write about Basic gray level transformation?
Q9) Explain the characteristics of the median smoothing filters?
Q10) Differentiate lossy compression and lossless compression?
Q11) Explain the methods of measuring the quality of image?
Q12) Explain in detail how the Gradient operators are used in image segmentation
applications?
Q13) Explain the region split and merge algorithm for segmentation?
SECTION C × 1
Answer all questions
Q14) What do you understand by range images?
Q15) What is image sampling?
Q16) What is the purpose of sharpening in digital image processing?
Q17) What are the advantages of image compression?
Q18) What is thresholding in image segmentation?
M.Sc. DEGREE EXAMINATION, MAY 2017
COMPUTER SCIENCE
Second Year
Image Processing
Time 3 Hours Maximum Marks 70
SECTION A × 15 45)
Answer any Three questions
Q1) What is image processing? Explain about various components of digital image
processing?
Q2) Explain how an image can be represented in digital form?
Q3) Explain how logical operations are used to enhance the image with example?
Q4) Draw and explain the general compression system model?
Q5) Explain the segmentation based on Region Growing?
SECTION B × 4 20)
Answer any Five questions
Q6) Discuss about elements of visual perception?
Q7) Write an algorithm for histogram equalization?
Q8) Write about Basic gray level transformation?
Q9) Explain the characteristics of the median smoothing filters?
Q10) Differentiate lossy compression and lossless compression?
Q11) Explain the methods of measuring the quality of image?
Q12) Explain in detail how the Gradient operators are used in image segmentation
applications?
Q13) Explain the region split and merge algorithm for segmentation?
SECTION C × 1
Answer all questions
Q14) What do you understand by range images?
Q15) What is image sampling?
Q16) What is the purpose of sharpening in digital image processing?
Q17) What are the advantages of image compression?
Q18) What is thresholding in image segmentation?
Subjects
- advanced computer architecture
- artifical intelligence
- compiler design
- computer graphics
- computer networks
- computer organization
- cryptography and network security
- data structures
- data ware housing & data mining
- database management systems
- design and analysis of algorithms
- discrete mathematical structures
- embedded systems
- image processing
- microprocessor & applications
- object oriented analysis and design
- object oriented programming
- software engineering
- tcp / ip
- theory of automata and formal languages
- user interface design