Image Processing 2076

Tribhuwan University
Institute of Science and Technology
2076
Bachelor Level / Fifth Semester / Science
Computer Science and Information Technology ( CSC321 )
( Image Processing )
Full Marks: 60
Pass Marks: 24
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

Long Answer Questions

Attempt any two questions(2x10=20)

1. Explain "power law transformation" techniques for the purpose of image enhancement. Explain the mean filter along with suitable algorithm for its implementation(4+6)

10 marks view

2. What is Fourier Transform and how can you apply it in the digital image processing? Explain the different properties of the Fourier Transform.(4+6)

10 marks view

3. Explain the adaptive thresholding and regionsplit and merge techniques for image segmentation.(5+5)

10 marks view

Section B

Short answer questions

Attempt any eight questions(8x5=40)

4.Discuss the various applications and problems associated with the digital image processing in brief.

5 marks view

5. Discuss the algorithm for histogram equalization.

5 marks view

7. How will you implement Butterworth high Pass Frequency domain filter for image sharpening in the frequency domain? Describe in brief.

5 marks view

6. Explain the first derivative filter with a suitable example.

5 marks view

8. Explain Contra-harmonic Mean Filters used for image restoration.

5 marks view

9. Describe lossless predictive coding model with a suitable block diagram.

5 marks view

10. Explain opening and closing morphological operations in brief.

5 marks view

11. Discuss the magnification of image using interpolation technique.

5 marks view

12. Discuss Neural Network based image recognition system with the help of a simple perception.

5 marks view