700.302 (21W) Labor "Fundamentals of Image Processing"

Wintersemester 2021/22

Registration deadline has expired.

First course session
01.10.2021 14:00 - 16:00 Online Off Campus
... no further dates known

Overview

Due to the COVID-19 pandemic, it may be necessary to make changes to courses and examinations at short notice (e.g. cancellation of attendance-based courses and switching to online examinations).

For further information regarding teaching on campus, please visit: https://www.aau.at/en/corona.
Lecturer
Course title german Labor "Fundamentals of Image Processing"
Type Course (continuous assessment course )
Course model Online course
Hours per Week 2.0
ECTS credits 3.0
Registrations 30 (25 max.)
Organisational unit
Language of instruction English
Course begins on 01.10.2021
eLearning Go to Moodle course

Time and place

Please note that the currently displayed dates may be subject to change due to COVID-19 measures.
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Course Information

Intended learning outcomes

This is an introductory Lab. course to the fundamentals of digital image processing using Python. It introduces the image processing functions and algorithms in Python which enables you to apply your knowledge of image processing in real scenarios.

By the end,  students should be able to program the presented methods of image processing in Python and also extend the concepts to the new applications and programming languages.

Teaching methodology including the use of eLearning tools

The fundamentals will be presented according to well-known literature and references. An extension to the basics and further details will be presented interactively according to the potentials of the students.

Course content

  • Accessing the images and data-types in Python
  • Simple image manipulations (e.g., color depth, size, cropping)
  • Image filtering and convolutions
  • Morphological transformation and thresholding
  • Geometric transformations
  • Feature / Color detection
  • Image registration and stitching
  • Image restoration (e.g., de-blurring, interpolations, Fourier domain)

Prior knowledge expected

Basic knowledge of Mathematics (matrices and their operations).

Basic knowledge of programming.

Literature

  • Digital Image Processing using MATLAB (Second Edition); Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins,.

Examination information

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

Grading scheme

Grade / Grade grading scheme

Position in the curriculum

  • Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 19W.2)
    • Subject: Informationstechnik (Compulsory elective)
      • 8.3 Informationstechnik ( 0.0h XX / 12.0 ECTS)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
          Absolvierung im 4., 5., 6. Semester empfohlen
  • Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 17W.1)
    • Subject: Information Technology (Compulsory elective)
      • 2.6 Bildverarbeitung ( 2.0h KS / 3.0 ECTS)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
          Absolvierung im 5. Semester empfohlen
  • Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 12W.1)
    • Subject: Information Technology (Compulsory elective)
      • Bildverarbeitung ( 2.0h KU / 3.0 ECTS)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
  • Bachelorstudium Informationstechnik (SKZ: 289, Version: 17W.1)
    • Subject: Informationstechnische Vertiefung (Compulsory elective)
      • 10a.3 Wahl von Lehrveranstaltungen ( 0.0h VO/VC/KS/UE / 6.0 ECTS)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Subject: Information and Communications Engineering: Supplements (NC, ASR) (Compulsory elective)
      • Wahl aus dem LV-Katalog (Anhang 4) ( 0.0h VK, VO, KU / 14.0 ECTS)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Subject: Technical Complements (NC, ASR) (Compulsory elective)
      • Wahl aus dem LV-Katalog (Anhang 5) ( 0.0h VK, VO, KU / 12.0 ECTS)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Subject: Information and Communications Engineering: Supplements (NC, ASR) (Compulsory elective)
      • Wahl aus dem LV-Katalog (Anhang 4) ( 0.0h VK, VO, KU / 14.0 ECTS)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Subject: Technical Complements (NC, ASR) (Compulsory elective)
      • Wahl aus dem LV-Katalog (Anhang 5) ( 0.0h VK, VO, KU / 12.0 ECTS)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)

Equivalent courses for counting the examination attempts

Wintersemester 2023/24
  • 700.302 KS Lab: Fundamentals of Image Processing (2.0h / 3.0ECTS)
Wintersemester 2022/23
  • 700.302 KS Labor "Fundamentals of Image Processing" (2.0h / 3.0ECTS)
Wintersemester 2020/21
  • 700.302 KS Labor "Fundamentals of Image Processing" (2.0h / 3.0ECTS)
Wintersemester 2019/20
  • 700.302 KS Labor "Fundamentals of Image Processing" (2.0h / 3.0ECTS)
Wintersemester 2018/19
  • 700.302 KS Labor "Fundamentals of Image Processing" (2.0h / 3.0ECTS)
Wintersemester 2015/16
  • 700.302 KS Labor "Fundamentals of Image Processing" (2.0h / 3.0ECTS)
Wintersemester 2014/15
  • 700.302 KU Labor "Fundamentals of Image Processing" (2.0h / 3.0ECTS)
Wintersemester 2013/14
  • 700.302 KU Labor "Fundamentals of Image Processing" (2.0h / 3.0ECTS)
Wintersemester 2012/13
  • 700.302 KU Labor "Fundamentals of Image Processing" (2.0h / 3.0ECTS)