Exam Details
| Subject | image processing and analysis | |
| Paper | ||
| Exam / Course | m.c.a./ m.c.a.(lateral) | |
| Department | ||
| Organization | Alagappa University Distance Education | |
| Position | ||
| Exam Date | May, 2017 | |
| City, State | tamil nadu, karaikudi |
Question Paper
DISTANCE EDUCATION
M.C.A.(S)/M.C.A.(Lateral) DEGREE EXAMINATION,
MAY 2017.
Fifth Semester
IMAGE PROCESSING AND ANALYSIS
(2005 to 2010 Calendar Year)
Time Three hours Maximum 100 marks
Answer any FIVE questions.
All questions carry equal marks.
20 100)
1. Discuss about the perception of colour.
Explain basic transformations of geometric model in
image formation.
2. Discuss about the properties of perspective
projection in geometric model.
Explain Fuzzy mathematical recognition.
3. Discuss about edge preserving smoothing.
Write a detailed note on restoration by Singular
value decomposition.
4. Explain the restoration by
homomorphic filtering.
Discuss about any one Lossy compression
technique.
Sub. Code
51
DE-457
2
WK16
5. Explain stereo imaging Algorithms.
Discuss about the Threshold selection methods.
6. How to determine an optimum threshold for gray
level thresholding?
Write a note on pattern fitting approach.
7. Discuss about geometric attributes.
Explain in detail about statistical classification.
8. Write a detailed note on region based
description.
Describe the elements of digital geometry.
M.C.A.(S)/M.C.A.(Lateral) DEGREE EXAMINATION,
MAY 2017.
Fifth Semester
IMAGE PROCESSING AND ANALYSIS
(2005 to 2010 Calendar Year)
Time Three hours Maximum 100 marks
Answer any FIVE questions.
All questions carry equal marks.
20 100)
1. Discuss about the perception of colour.
Explain basic transformations of geometric model in
image formation.
2. Discuss about the properties of perspective
projection in geometric model.
Explain Fuzzy mathematical recognition.
3. Discuss about edge preserving smoothing.
Write a detailed note on restoration by Singular
value decomposition.
4. Explain the restoration by
homomorphic filtering.
Discuss about any one Lossy compression
technique.
Sub. Code
51
DE-457
2
WK16
5. Explain stereo imaging Algorithms.
Discuss about the Threshold selection methods.
6. How to determine an optimum threshold for gray
level thresholding?
Write a note on pattern fitting approach.
7. Discuss about geometric attributes.
Explain in detail about statistical classification.
8. Write a detailed note on region based
description.
Describe the elements of digital geometry.
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