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AKTU · MCA · 3rd semester

AKTU MCA Digital Image Processing (KCA025) Question Paper 2023-24

UniversityDr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow
CourseMCA, Semester III
SubjectDigital Image Processing (KCA025)
ExamTheory Examination 2023-24 (odd semester)
Time · Marks3 hours · 100 marks
SourceAKTU question paper, from the ABESIT question paper bank
View original PDF Other years

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

Section A

Q1. Attempt all questions in brief

  1. Differentiate between RGB image and Grey scale image.
  2. Briefly explain the importance of sampling operation.
  3. What do you mean by Homomorphic filter?
  4. Briefly discuss the idea of smoothing filters.
  5. What are the various factors that can cause image degradation?
  6. How does a band pass filter work?
  7. What is region based segmentation?
  8. Explain the concept of thresholding in brief.
  9. State any four advantages of chain code.
  10. Why vector quantization is used?

Section B

Q2. Attempt any three of the following

  1. What is Fourier transform? Discuss Fast Fourier transform algorithm.
  2. Explain and compare Ideal and Butterworth filters.
  3. What do you understand by mean filter? Explain various types of mean filters with example.
  4. Discuss Roberts and Prewitt first order edge detection operators.
  5. What do you mean by feature of an object? What are the characteristics of a good feature? Also differentiate between boundary based features and region based features.

Section C

Q3

Attempt any one part of the following

  1. What are the phases of an image processing system? Discuss with the help of a diagram.
  2. Discuss image arithmetic operations with proper example.

Q4

Attempt any one part of the following

  1. What do you mean by Histogram equalization? Explain the process and apply Histogram Equalization technique to the following image-  6 7 6 6 
  2. Explain various properties of Fourier transform.

Q5

Attempt any one part of the following

  1. Explain in detail the image degradation model with diagram.
  2. What is an order statistics filter? Explain the types of order statistics filter.

Q6

Attempt any one part of the following

  1. What is the use of morphological operations? Discuss morphological dilation and erosion operations with example.
  2. What is Hough transform? Explain its concept and algorithm.

Q7

Attempt any one part of the following

  1. What do you mean by lossless compression? Explain Run length coding algorithm with example.
  2. Describe various shape features for regional descriptors.

Other years

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