700.302 (20W) Labor "Fundamentals of Image Processing"
Überblick
Weitere Informationen zum Lehrbetrieb vor Ort finden Sie unter: https://www.aau.at/corona.
- Lehrende/r
- LV-Titel englisch Labor "Fundamentals of Image Processing"
- LV-Art Kurs (prüfungsimmanente LV )
- LV-Modell Onlinelehrveranstaltung
- Semesterstunde/n 2.0
- ECTS-Anrechnungspunkte 3.0
- Anmeldungen 16 (25 max.)
- Organisationseinheit
- Unterrichtssprache Englisch
- LV-Beginn 07.10.2020
- eLearning zum Moodle-Kurs
Zeit und Ort
LV-Beschreibung
Intendierte Lernergebnisse
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.
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
- 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)
Erwartete Vorkenntnisse
Basic knowledge of Mathematics (matrices and their operations).
Basic knowledge of programming.
Literatur
- Digital Image Processing using MATLAB (Second Edition); Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins,.
Intendierte Lernergebnisse
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.
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
- 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)
Erwartete Vorkenntnisse
Basic knowledge of Mathematics (matrices and their operations).
Basic knowledge of programming.
Literatur
Digital Image Processing using MATLAB (Second Edition); Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins,.
Prüfungsinformationen
Beurteilungsschema
Note BenotungsschemaPosition im Curriculum
- Bachelorstudium Angewandte Informatik
(SKZ: 511, Version: 19W.2)
-
Fach: Informationstechnik
(Wahlfach)
-
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
-
8.3 Informationstechnik (
0.0h XX / 12.0 ECTS)
-
Fach: Informationstechnik
(Wahlfach)
- Bachelorstudium Angewandte Informatik
(SKZ: 511, Version: 17W.1)
-
Fach: Informationstechnik
(Wahlfach)
-
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
-
2.6 Bildverarbeitung (
2.0h KS / 3.0 ECTS)
-
Fach: Informationstechnik
(Wahlfach)
- Bachelorstudium Angewandte Informatik
(SKZ: 511, Version: 12W.1)
-
Fach: Informationstechnik
(Wahlfach)
-
Bildverarbeitung (
2.0h KU / 3.0 ECTS)
- 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
-
Bildverarbeitung (
2.0h KU / 3.0 ECTS)
-
Fach: Informationstechnik
(Wahlfach)
- 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)
- 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
-
10a.3 Wahl von Lehrveranstaltungen (
0.0h VO/VC/KS/UE / 6.0 ECTS)
-
Fach: Informationstechnische Vertiefung
(Wahlfach)
- 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)
- 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
-
Wahl aus dem LV-Katalog (Anhang 4) (
0.0h VK, VO, KU / 14.0 ECTS)
-
Fach: Information and Communications Engineering: Supplements (NC, ASR)
(Wahlfach)
- 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)
- 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
-
Wahl aus dem LV-Katalog (Anhang 5) (
0.0h VK, VO, KU / 12.0 ECTS)
-
Fach: Technical Complements (NC, ASR)
(Wahlfach)
- 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)
- 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
-
Wahl aus dem LV-Katalog (Anhang 4) (
0.0h VK, VO, KU / 14.0 ECTS)
-
Fach: Information and Communications Engineering: Supplements (NC, ASR)
(Wahlfach)
- 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)
- 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
-
Wahl aus dem LV-Katalog (Anhang 5) (
0.0h VK, VO, KU / 12.0 ECTS)
-
Fach: Technical Complements (NC, ASR)
(Wahlfach)
Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung
-
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 2021/22
- 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)