700.304 (20W) Fundamentals of Image Processing

Wintersemester 2020/21

Anmeldefrist abgelaufen.

Erster Termin der LV
07.01.2021 08:00 - 16:00 , Online Off Campus
Nächster Termin:
08.01.2021 08:00 - 16:00 , Online Off Campus

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
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
30 (50 max.)
Organisationseinheit
Unterrichtssprache
Englisch
mögliche Sprache/n der Leistungserbringung
Deutsch , Englisch
LV-Beginn
07.01.2021

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...

LV-Beschreibung

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.

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

Basic knowledge of Mathematics (matrices and their operations).

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

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.

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

Basic knowledge of Mathematics (matrices and their operations).

Literatur

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

Prüfungsinformationen

Beurteilungsschema

Note/Grade Benotungsschema

Position im Curriculum

  • Bachelorstudium Angewandte Informatik (SKZ: 511, Version: 19W.1)
    • 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 / 4.0 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 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)