Tribhuvan University

Institute of Science and Technology

2080

Bachelor Level / fifth-semester / Science

Computer Science and Information Technology( CSC319 )

Elective I

Full Marks: 60 + 20 + 20

Pass Marks: 24 + 8 + 8

Time: 3 Hours

Candidates are required to give their answers in their own words as far as practicable.

The figures in the margin indicate full marks.

Section A

Attempt any two questions.

1

Explain different steps in digital image processing. Define neighbor of a pixel. How do you find distances between pixels?

2

Why do we need to enhance the image? How do you use histogram in image enhancement? Differentiate between log and power log transformation.

3

Explain the properties of fourier transform. Derive the relation for 1-D fast fourier transformation in spatial domain.

Section B

Attemt any eight questions.

4

Explain image degradation and restoration process.

5

Why do we need to remove noise? Discuss about median, max and min filter.

6

Define image segmentation. Explain the three basic types of grey level discontinuities detection.

7

How band reject filters are used to remove periodic noise? Explain.

8

Describe the algorithm for region splitting and merging in brief.

9

Explain how interpixel redundancy can be identified and exploited.

10

Explain erosion with an example.

11

How signature is used in boundary representation? What does shape number mean? Explain.

12

Define pattern and pattern class. How do you detect foreground and background of the image? Explain.