B.TechSemester 62022-23Image AnalyticsKDS-061
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Image Analytics (KDS-061) - AKTU Question Paper 2022-23

B.Tech · Semester 6 · Free PDF Download

This is the official AKTU Image Analytics Previous Year Question Paper for B.Tech Semester 6, academic session 2022-23. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 6
Session:2022-23
University:AKTU / UPTU

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Questions Asked in 2022-23

Image Analytics (KDS-061) — complete question paper

Section AAttempt all questions in brief. 2 x 10 = 20
  • a
    What is the Digital Image Processing?
  • b
    Name some applications of digital image processing
  • c
    Differentiate opening and closing
  • d
    Describe Hit or miss transform
  • e
    Define point detection process
  • f
    What do you mean by Edge detection algorithm?
  • g
    Full form of SIFT and define it
  • h
    Define shape numbers. i. What do you mean by Pattern Classes? j. Define Optimum (Bayes) Statistical Classifiers
Section BAttempt any three of the following: 10 x 3 = 30
  • a
    Define digital image. Explain fundamental steps in image processing system with the help of suitable diagram
  • b
    Explain morphological image processing step in d etail
  • c
    Describe image segmentation step in detail
  • d
    Explain feature extraction process in detail
  • e
    Define patterns. Also discuss pattern classification by prototype matching
Section CAttempt any one part of the following: 10 x 1 = 10
  • a
    Explain Image acquisition in detail with the hel p of diagram
  • b
    Differentiate between smoothing and sharpening s patial filters in detail
  • a
    Write short notes on: (i) Erosion (ii). Dilation
  • b
    Explain Morphological reconstruction algorithm i n detail
  • a
    Differentiate between Segmentation by Region Gro wing and by Region Splitting in detail
  • b
    Write short notes on: (i). Snakes sets (ii). Level Sets
  • a
    Explain Topological and Texture Descriptors in detail
  • b
    Write short notes on: (i). Boundary Preprocessing (ii). Fourier Descriptors
  • a
    Differentiate between Multilayer Feed forward ne ural networks and deep convolutional neural networks in detail
  • b
    Write short notes on: (i). Neural Networks (ii). Deep Learning

Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.

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