700.302 (18W) Labor "Fundamentals of Image Processing"
Überblick
- Lehrende/r
- LV-Titel englisch Labor "Fundamentals of Image Processing"
- LV-Art Kurs (prüfungsimmanente LV )
- Semesterstunde/n 2.0
- ECTS-Anrechnungspunkte 3.0
- Anmeldungen 13 (25 max.)
- Organisationseinheit
- Unterrichtssprache Englisch
- LV-Beginn 03.10.2018
- 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 MATLAB. It introduces the image processing functions and algorithms in MATLAB 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 MATLAB 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 MATLAB
- 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 MATLAB. It introduces the image processing functions and algorithms in MATLAB 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 MATLAB 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 MATLAB
- 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
Prüfungsmethode/n
Project assignment: You will receive couple of assignments , which you need to use the image processing functions and algorithms that you learned to solve them. You may be asked also to give an oral explanation regarding your codes.
(Class activities and answering questions will be extra points and will help if you do not perform well at the final exam).
Prüfungsinhalt/e
From the topics covered by the lectures during the course.
Beurteilungskriterien/-maßstäbe
Project assignment and oral explanation.
Prüfungsmethode/n
Project assignment: You will receive couple of assignments , which you need to use the image processing functions and algorithms that you learned to solve them. You may be asked also to give an oral explanation regarding your codes.
(Class activities and answering questions will be extra points and will help if you do not perform well at the final exam).
Prüfungsinhalt/e
From the topics covered by the lectures during the course.
Beurteilungskriterien/-maßstäbe
Project assignment and oral explanation.
Beurteilungsschema
Note BenotungsschemaPosition im Curriculum
- 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)
- Bachelorstudium Informationstechnik
(SKZ: 289, Version: 12W.2)
-
Fach: Informationstechnische Vertiefung
(Wahlfach)
-
Wahl von Lehrveranstaltungen (
0.0h VK/VO/KU / 6.0 ECTS)
- 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
-
Wahl von Lehrveranstaltungen (
0.0h VK/VO/KU / 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 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 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)