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Download AKTU B-Tech 8th Sem 2018-19 NCS801 Digital 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) 2018-19 NCS801 Digital 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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Printed Pages: 02

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Paper Id: 110253

Sub Code: NCS801

Roll No.

Time: 3 Hours

B.TECH

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(SEM VIII) THEORY EXAMINATION 2018-19

DIGITAL IMAGE PROCESSING

Note: Attempt all Sections. If require any missing data; then choose suitably.

SECTION A

  1. Attempt all questions in brief.
    1. Define components of image processing system.
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    3. Name some applications of digital image processing.
    4. Write down mask of Sobel filter.
    5. Differentiate between image enhancement and restoration.
    6. Explain Laplacian filter.
    7. Define Dilation Process.
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    9. What is the use of Boundary Extraction?
    10. Define morphological image processing.
    11. What is geometric transformation?
    12. What are first order derivative filters?
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2 x 10 = 20

SECTION B

  1. Attempt any three of the following:
    1. Consider the image segment shown.
      3   2   1   1
      2   (p) 1   1   0

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      1   0   1   2
      Take V={0,1} and compute the lengths of shortest 4-,8-, and m-path between p and q. If a particular path does not exist between these two points, explain why
      (i) the lengths of shortest 4-,8-, and m-path
      (ii) Repeat for V={1,2}
    2. What are the linear and non-linear smoothing filters in spatial domain? Compute the new pixel values after applying the 3x3 box filter on the following 5x5 matrix of a 3-bit image.

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      2   3   7   0   7
      6   4   4   1   5
      1   3   2   2   3
      4   5   0   6   4
      6   1   7   6   4
    3. --- Content provided by‌ FirstRanker.com ---

    4. Explain edge detection and edge linking. Also write the difference between edge detection and edge linking.
    5. What is image restoration? Explain in detail the image restoration in presence of noise only.
    6. Explain the following morphological operations: i. Opening ii. Closing iii. Region Filling.

3 x 10 = 30

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SECTION C

  1. Attempt any one part of the following:
    1. Explain low level, mid level and high level image processing. Also explain sampling and quantization process.
    2. Explain the process of filtering in frequency domain. Discuss low pass and high pass frequency domain filters.

10 x 1=10

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  1. Attempt any one part of the following:
    1. Explain piecewise linear transformations of image enhancement with suitable example.
    2. Write notes on: i. Bit plane slicing ii. Homomorphic Filter iii. Image histogram

10 x 1=10

  1. Attempt any one part of the following:
    1. Discuss order statics filters with suitable example.
    2. --- Content provided by​ FirstRanker.com ---

    3. Explain the process of minimum mean square error restoration.

10 x 1=10

  1. Attempt any one part of the following:
    1. Explain thinning and thickening operation operation with suitable example.
    2. Prove the validity of the following:

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      (A©B) = (A©B) and (A ? B).

10 x 1=10

  1. Attempt any one part of the following:
    1. Explain i. Stereo Imaging ii.Multi-level thresholding iii.Image Registration
    2. The so-called compass gradient operators of size 3x3 are designed to measure gradients of edges oriented in eight directions: E, NE, N, NW, W, SW, S, and SE. Give the form of these eight operators using coefficients valued 0, 1, or -1.
    3. --- Content provided by⁠ FirstRanker.com ---

10 x 1=10



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