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16 - EEE - Electrical & Electronics Engineering


EEE 170 - Digital Image Processing Using MATLAB (DIP)

Code Start Date Duration Venue Fees
EEE 170 06 December 2020 5 Days Istanbul $ 3950 Registration Form Link
EEE 170 03 January 2021 5 Days Istanbul $ 3950 Registration Form Link
EEE 170 28 February 2021 5 Days Istanbul $ 3950 Registration Form Link
EEE 170 28 March 2021 5 Days Istanbul $ 3950 Registration Form Link
EEE 170 25 April 2021 5 Days Istanbul $ 3950 Registration Form Link
EEE 170 23 May 2021 5 Days Istanbul $ 3950 Registration Form Link
EEE 170 20 June 2021 5 Days Istanbul $ 3950 Registration Form Link
EEE 170 15 August 2021 5 Days Istanbul $ 3950 Registration Form Link
EEE 170 12 September 2021 5 Days Istanbul $ 3950 Registration Form Link
EEE 170 10 October 2021 5 Days Istanbul $ 3950 Registration Form Link
EEE 170 07 November 2021 5 Days Istanbul $ 3950 Registration Form Link
EEE 170 05 December 2021 5 Days Istanbul $ 3950 Registration Form Link
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Course Description

The main objective of this course is to introduce fundamental and advanced concepts of digital image processing and computer vision using practical techniques will be applied in both spatial and frequency domain. All our manipulations will be achieved using MATLAB.

Course Objectives

  • Understand principles of digital image processing and computer vision
  • Have sufficient experience to filter noisy image and to restore degraded one.
  • Understand the difference between spatial domain and frequency domain techniques
  • Use features extraction techniques for making intelligent machine decisions

Who Should Attend?

  • Undergraduate Engineering students, 
  • Master students, 
  • Engineers

Course Details/Schedule

Day 1

  • General Introduction to DIP
  • Principles of Digital Image processing,
  • The histogram & histogram equalization,

Day 2

  • Image Filtering (Spatial Domain techniques),
  • Image degradation & restoration process

Day 3

  • Edges Detection techniques & boundary description,
  • Morphological operations,
  • Geometric spatial transformation & Interpolation,
  • Colored Image processing

Day 4

  • Image processing in the frequency domain,
  • Dynamic objects detection & features extraction techniques,

Day 5

  • Wavelets and their applications
  • Gabor filter and its application