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Download AKTU B-Tech 8th Sem 2016-17 EEC068 Image Processing Question Paper

Download AKTU (Dr. A.P.J. Abdul Kalam Technical University (AKTU), formerly Uttar Pradesh Technical University (UPTU) B-Tech 8th Semester (Eight Semester) 2016-17 EEC068 Image Processing Question Paper

This post was last modified on 30 January 2020

AKTU B-Tech Last 10 Years 2010-2020 Previous Question Papers || Dr. A.P.J. Abdul Kalam Technical University


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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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  1. Explain the following:
    1. Define sampling process.
    2. What is bit plane slicing?
    3. Name any two noise models.
    4. What is hue and saturation?
    5. What is meant by pixel?
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    7. Specify the elements of DIP system.
    8. What do you mean by mach bands?
    9. What is Kalman theorem?
    10. How cones and rods are distributed in retina?
    11. What is meant by path?
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    10 x 2 = 20

SECTION – B

  1. Attempt any five parts of the following questions:
    1. Justify that image is a stochastic process.
    2. Explain stereo imaging elements of visual perception.
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    4. Classify different types of image quantizer. What do you mean by image quantizer? What are the advantages of image quantizer? Discuss uniform optimal quantizer.
    5. Find the expression for DFT of an NxN image u(m,n) and the properties of this transform.
    6. Draw the block diagram of a digital image restoration system and explain Wiener filter.
    7. What is image segmentation? Why it is required? Explain region growing technique.
    8. Draw the block diagram of an image restoration system and explain it. Classify.
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    10. Draw the block diagram of signature verification and explain its working. How pattern recognition method is done for rapid object recognition? Explain in detail.

    5 x 10 = 50

SECTION – C

2 x 15 = 30

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  1. Explain Hough transform, topological and texture analysis.
  2. Write short note on :
    1. Pseudo color enhancement.
    2. Finger print classification.
    3. Run length coding.
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  4. 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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This download link is referred from the post: AKTU B-Tech Last 10 Years 2010-2020 Previous Question Papers || Dr. A.P.J. Abdul Kalam Technical University