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3 - EEE - Electrical & Electronics Engineering


EEE 170 - Digital Image Processing Using MATLAB (DIP)

Code Start Date Duration Venue Fees
EEE 170 27 October 2019 5 Days Istanbul $ 2950 Registration Form Link
EEE 170 24 November 2019 5 Days Istanbul $ 2950 Registration Form Link
EEE 170 22 December 2019 5 Days Istanbul $ 2950 Registration Form Link
EEE 170 05 January 2020 5 Days Istanbul $ 2950 Registration Form Link
EEE 170 02 February 2020 5 Days Istanbul $ 2950 Registration Form Link
EEE 170 29 March 2020 5 Days Istanbul $ 2950 Registration Form Link
EEE 170 26 April 2020 5 Days Istanbul $ 2950 Registration Form Link
EEE 170 31 May 2020 5 Days Istanbul $ 2950 Registration Form Link
EEE 170 21 June 2020 5 Days Istanbul $ 2950 Registration Form Link
EEE 170 19 July 2020 5 Days Istanbul $ 2950 Registration Form Link
EEE 170 16 August 2020 5 Days Istanbul $ 2950 Registration Form Link
EEE 170 13 September 2020 5 Days Istanbul $ 2950 Registration Form Link
EEE 170 11 October 2020 5 Days Istanbul $ 2950 Registration Form Link
EEE 170 08 November 2020 5 Days Istanbul $ 2950 Registration Form Link
EEE 170 06 December 2020 5 Days Istanbul $ 2950 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