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Download GTU BE/B.Tech 2018 Winter 7th Sem New 2171712 Image Processing Question Paper

Download GTU (Gujarat Technological University) BE/BTech (Bachelor of Engineering / Bachelor of Technology) 2018 Winter 7th Sem New 2171712 Image Processing Previous Question Paper

This post was last modified on 20 February 2020

GTU BE/B.Tech 2018 Winter Question Papers || Gujarat Technological University


Enrolment No.

Subject Code: 2171712

BE - SEMESTER-VII (NEW) EXAMINATION — WINTER 2018

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Subject Name: Image Processing

Time: 10:30 AM TO 01:00 PM

Instructions:

  1. Attempt all questions.
  2. Make suitable assumptions wherever necessary.
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  4. Figures to the right indicate full marks.

Q.1

  1. Briefly explain the concept of Spatial Resolution for image. (MARKS 03)
  2. What is digital image and what is digital image processing? Explain it in brief. (MARKS 04)
  3. With proper block diagram explain key stages in digital image processing (MARKS 07)
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Q.2

  1. Why do we need image processing? Explain its requirement (MARKS 03)
  2. How can you read and write images in MATLAB? Explain with example. (MARKS 04)
  3. Briefly explain applications of image processing. (MARKS 07)

OR

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  1. Explain the concept of sampling and quantization processes (MARKS 07)

Q.3

  1. Write MATLAB code to build a matrix intensity image. (MARKS 03)
  2. Discuss image smoothing vs image sharpening (MARKS 04)
  3. Explain different types of processing used for image enhancement (MARKS 07)
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OR

  1. List out arithmetic operations between images and explain any one with example. (MARKS 03)
  2. Write a program using MATLAB commands to calculate mean value of an image. (MARKS 04)
  3. Explain the technique of image compression. (MARKS 07)

Q.4

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  1. How can one decide the quality of image using histogram? (MARKS 03)
  2. Write MATLAB commands to add and subtract two images. What mathematical operation is required to increase and decrease the brightness of an image? (MARKS 04)
  3. What do you mean by image restoration? Explain it in detail with examples of various noise models. (MARKS 07)

OR

  1. Explain the functions 1) imhist() 2) im2bw( ). (MARKS 03)
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  3. Briefly explain the principle of image formation in human eye. (MARKS 04)
  4. What do you mean by image compression? Explain it in detail. (MARKS 07)

Q.5

  1. Explain imshow () and imwrite () commands with example. (MARKS 03)
  2. Briefly explain the steps of filtering in frequency domain. (MARKS 04)
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  4. What is histogram? Why histogram processing is required? Explain it in detail. (MARKS 07)

OR

  1. What is weber ratio in image processing? (MARKS 03)
  2. Briefly explain the concept of frequency domain filtering. (MARKS 04)
  3. Explain the concept of image segmentation in detail and also explain its applications. (MARKS 07)
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Date: 03/12/2018

Total Marks: 70

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