Tribhuvan University
Bachelor of Science in Computer Science and Information Technology
Semester 5 · TU Board 2080
Course Title: Image Processing (CSC332)
Full Marks: 60Pass Marks: 24Time: 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.
Group A
Attempt any two questions.(2 × 10 = 20)
- 1.10
Explain different steps in digital image processing. Define neighbor of a pixel. How do you find distances between pixels?
- 2.10
Why do we need to enhance the image? How do you use histogram in image enhancement? Differentiate between log and power log transformation.
- 3.10
Explain the properties of fourier transform. Derive the relation for 1-D fast fourier transformation in spatial domain.
Group B
(8 × 5 = 40)
- 4.5
Explain image degradation and restoration process.
Answer comingAlso asked in 2082
- 5.5
Why do we need to remove noise? Discuss about median, max and min filter.
- 6.5
Define image segmentation. Explain the three basic types of grey level discontinuities detection.
- 7.5
How band reject filters are used to remove periodic noise? Explain.
- 8.5
Describe the algorithm for region splitting and merging in brief.
- 9.5
Explain how interpixel redundancy can be identified and exploited.
- 10.5
Explain erosion with an example.
- 11.5
How signature is used in boundary representation? What does shape number mean? Explain.
- 12.5
Define pattern and pattern class. How do you detect foreground and background of the image? Explain.
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