700.304 (21W) Fundamentals of Image Processing

Wintersemester 2021/22

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Erster Termin der LV
27.11.2021 09:00 - 17:00 Online Off Campus

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Überblick

Bedingt durch die COVID-19-Pandemie können kurzfristige Änderungen bei Lehrveranstaltungen und Prüfungen (z.B. Absage von Präsenz-Lehreveranstaltungen und Umstellung auf Online-Prüfungen) erforderlich sein.

Weitere Informationen zum Lehrbetrieb vor Ort finden Sie unter: https://www.aau.at/corona.

Lehrende/r

Assoc. Prof. Dr. techn. habil. Fadi Al Machot

LV-Titel englisch

Fundamentals of Image Processing

LV-Art

Vorlesung-Kurs (prüfungsimmanente LV )

LV-Modell

Onlinelehrveranstaltung

Semesterstunde/n

2.0

ECTS-Anrechnungspunkte

4.0

Anmeldungen

36 (50 max.)

Organisationseinheit

Institut für Intelligente Systemtechnologien

Unterrichtssprache

Englisch

LV-Beginn

27.11.2021

eLearning

zum Moodle-Kurs

Seniorstudium Liberale

Zeit und Ort

Beachten Sie bitte, dass sich aufgrund von COVID-19-Maßnahmen die derzeit angezeigten Termine noch ändern können.

Liste der Termine wird geladen...

Intendierte Lernergebnisse

This is an introductory course to the fundamentals of digital image processing. It provides the basic concepts to learn how to process an image in order to extract the desired information out of it.

By the end, students should:

be able to apply the basic methods of image processing,
have a good understanding of image features and object recognition,
be able to apply the acquired knowledge of image processing to solve related industrial and research problems.

Lehrmethodik inkl. Einsatz von 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.

Slides + Exercises (Live Demonstration), Online Quiz

Inhalt/e

Understanding the concept of image (e.g., camera technology, digital images, image types and representation, thermal images)
Simple image manipulations (e.g., color depth, size, cropping)
Lens distortion – Camera calibration
Image filtering and convolutions
Morphological transformation and thresholding
Geometric transformations
Feature detection
Image registration and stitching
Image restoration (e.g., de-blurring, interpolations, Fourier domain)

Erwartete Vorkenntnisse

Linear algebra and calculus

Literatur

Digital Image Processing (third Edition); Rafael C. Gonzalez, Richard E. Woods.
Computer Vision: Algorithms and Applications; Richard Szeliski.

Intendierte Lernergebnisse

This is an introductory course to the fundamentals of digital image processing. It provides the basic concepts to learn how to process an image in order to extract the desired information out of it.

By the end, students should:

be able to apply the basic methods of image processing,
have a good understanding of image features and object recognition,
be able to apply the acquired knowledge of image processing to solve related industrial and research problems.

Lehrmethodik inkl. Einsatz von eLearning-Tools

Inhalt/e

Understanding the concept of image (e.g., camera technology, digital images, image types and representation, thermal images)
Simple image manipulations (e.g., color depth, size, cropping)
Lens distortion – Camera calibration
Image filtering and convolutions
Morphological transformation and thresholding
Geometric transformations
Feature detection
Image registration and stitching
Image restoration (e.g., de-blurring, interpolations, Fourier domain)

Erwartete Vorkenntnisse

Linear algebra and calculus

Literatur

Digital Image Processing (third Edition); Rafael C. Gonzalez, Richard E. Woods.
Computer Vision: Algorithms and Applications; Richard Szeliski.

Prüfungsinformationen

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.

Beurteilungsschema

Note Benotungsschema

Position im Curriculum

Bachelorstudium Angewandte Informatik (SKZ: 511, Version: 19W.2)
- Fach: Informationstechnik (Wahlfach)
  - 8.3 Informationstechnik ( 0.0h XX / 12.0 ECTS)
    - 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)
      Absolvierung im 4., 5., 6. Semester empfohlen

Bachelorstudium Angewandte Informatik (SKZ: 511, Version: 17W.1)
- Fach: Informationstechnik (Wahlfach)
  - 2.6 Bildverarbeitung ( 2.0h VC / 3.0 ECTS)
    - 700.304 Fundamentals of Image Processing (2.0h VC / 3.0 ECTS)
      Absolvierung im 5. Semester empfohlen

Bachelorstudium Angewandte Informatik (SKZ: 511, Version: 12W.1)
- Fach: Informationstechnik (Wahlfach)
  - Bildverarbeitung ( 2.0h VO / 3.0 ECTS)
    - 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)

Bachelorstudium Informationstechnik (SKZ: 289, Version: 17W.1)
- Fach: Informationstechnische Vertiefung (Wahlfach)
  - 10a.3 Wahl von Lehrveranstaltungen ( 0.0h VO/VC/KS/UE / 6.0 ECTS)
    - 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)

Bachelorstudium Informationstechnik (SKZ: 289, Version: 12W.2)
- Fach: Informationstechnische Vertiefung (Wahlfach)
  - Wahl von Lehrveranstaltungen ( 0.0h VK/VO/KU / 6.0 ECTS)
    - 700.304 Fundamentals of Image Processing (2.0h VC / 3.0 ECTS)

Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
- Fach: Information and Communications Engineering: Supplements (NC, ASR) (Wahlfach)
  - Wahl aus dem LV-Katalog (Anhang 4) ( 0.0h VK, VO, KU / 14.0 ECTS)
    - 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)

Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
- Fach: Technical Complements (NC, ASR) (Wahlfach)
  - Wahl aus dem LV-Katalog (Anhang 5) ( 0.0h VK, VO, KU / 12.0 ECTS)
    - 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)

Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
- Fach: Information and Communications Engineering: Supplements (NC, ASR) (Wahlfach)
  - Wahl aus dem LV-Katalog (Anhang 4) ( 0.0h VK, VO, KU / 14.0 ECTS)
    - 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)

Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
- Fach: Technical Complements (NC, ASR) (Wahlfach)
  - Wahl aus dem LV-Katalog (Anhang 5) ( 0.0h VK, VO, KU / 12.0 ECTS)
    - 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)

Masterstudium Mathematics (SKZ: 401, Version: 18W.1)
- Fach: Information and Communications Engineering (Wahlfach)
  - 9.4 Fundamentals of Image Processing ( 2.0h VC / 4.0 ECTS)
    - 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)

Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung

Wintersemester 2023/24

700.304 VC Fundamentals of Image Processing (2.0h / 4.0ECTS)

Wintersemester 2022/23

700.304 VC Fundamentals of Image Processing (2.0h / 4.0ECTS)

Wintersemester 2020/21

700.304 VC Fundamentals of Image Processing (2.0h / 4.0ECTS)

Wintersemester 2019/20

700.304 VC Fundamentals of Image Processing (2.0h / 4.0ECTS)

Wintersemester 2018/19

700.304 VC Fundamentals of Image Processing (2.0h / 4.0ECTS)

Wintersemester 2017/18

700.304 VC Fundamentals of Image Processing (2.0h / 4.0ECTS)

Wintersemester 2016/17

700.304 VC Fundamentals of Image Processing (2.0h / 4.0ECTS)

Wintersemester 2015/16

700.304 VC Fundamentals of Image Processing (2.0h / 4.0ECTS)

Wintersemester 2014/15

700.304 VK Fundamentals of Image Processing (2.0h / 4.0ECTS)

Wintersemester 2013/14

700.304 VK Fundamentals of Image Processing (2.0h / 4.0ECTS)

Wintersemester 2012/13

700.304 VK Fundamentals of Image Processing (2.0h / 4.0ECTS)