AKTU · B.Tech · 8th semester
AKTU Image Processing (NEN043) Question Paper 2016-17
| University | Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow |
|---|---|
| Course | B.Tech, Semester VIII |
| Subject | Image Processing (NEN043) |
| Exam | Theory Examination 2016-17 (even semester) |
| Time · Marks | 3 hours · 100 marks |
| Source | AKTU question paper, from the ABESIT question paper bank |
Note: Be precise in your answer . In case of numerical problem assume data wherever not provided.
Section A
Q1. Explain the following · 10 × 2 = 20 marks
- Explain sampling and quantization.
- Explain the 3D Image processing
- Give various grey level slicing techniques.
- Explain smoothing and sharpening
- How biometric features can be useful for recognition?
- Explain topological and texture analysis in brief.
- What do you mean by signature verification?
- What do you mean by Mach Bands?
- What is Isomorphism?
- Define Fuzzy Logic.
Section B
Q2. Attempt any five of the following questions · 5 × 10 = 50 marks
- Derive the mathematical expression for DCT and enumerate the properties of DCT.
- Draw the block diagram of signature verification and explain its working.
- Draw the block diagram of a digital image restoration system and explain it. Classify the image restoration system and explain Wiener filter.
- Discuss the match based segmentation in detail. What is supervised and unsupervised evaluation? Differentiate with some examples.
- Discuss fourier wavelet principal components, analysis in image analysis in detail.
- Show that a two dimensional Gaussian is separable, while the Laplacian of a Gaussian operator is not separable.
- Write short note on: (a) Finger print classification. (b) Text recognition
- What is meant by image quantizer ? What are the advantages of image quantizer?
Section C
Attempt any two of the following questions · 2 × 15 = 30 marks
- (i) Differentiate between winer and inverse filteration (ii) Differentiate between linear and bicubic interpolation
- What is histogram? For what purpose is it used? Explain histogram specification with example. Discuss image compression techniques.
- What do you mean by Nyquist rate, alliasing and fold over frequency as related to sampling of images ? How the image is reconstructed from its samples ?
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