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B.TECH.
IMAGE PROCESSING
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THEORY EXAMINATION (SEM–VIII) 2016-17
Time: 3 Hours
Max. Marks : 100
Note: Be precise in your answer. In case of numerical problem assume data wherever not provided.
SECTION – A
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- Explain the following:
- Define sampling process.
- What is bit plane slicing?
- Name any two noise models.
- What is hue and saturation?
- What is meant by pixel?
- Specify the elements of DIP system.
- What do you mean by mach bands?
- What is Kalman theorem?
- How cones and rods are distributed in retina?
- What is meant by path?
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10 x 2 = 20
SECTION – B
- Attempt any five parts of the following questions:
- Justify that image is a stochastic process.
- Explain stereo imaging elements of visual perception.
- Classify different types of image quantizer. What do you mean by image quantizer? What are the advantages of image quantizer? Discuss uniform optimal quantizer.
- Find the expression for DFT of an NxN image u(m,n) and the properties of this transform.
- Draw the block diagram of a digital image restoration system and explain Wiener filter.
- What is image segmentation? Why it is required? Explain region growing technique.
- Draw the block diagram of an image restoration system and explain it. Classify.
- Draw the block diagram of signature verification and explain its working. How pattern recognition method is done for rapid object recognition? Explain in detail.
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5 x 10 = 50
SECTION – C
2 x 15 = 30
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- Explain Hough transform, topological and texture analysis.
- Write short note on :
- Pseudo color enhancement.
- Finger print classification.
- Run length coding.
- Define the moment for a two dimensional signal f(x, y)> 0. How different orders of moments are useful in image recognition? What are the different moment invariants related to image recognition?
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