700.304 (19W) Fundamentals of Image Processing

zu Moodle

Wintersemester 2019/20

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Erster Termin der LV
15.10.2019 09:30 - 19:30 On Campus

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Überblick

Lehrende/r

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

LV-Titel englisch

Fundamentals of Image Processing

LV-Art

Vorlesung-Kurs (prüfungsimmanente LV )

Semesterstunde/n

2.0

ECTS-Anrechnungspunkte

4.0

Anmeldungen

20 (50 max.)

Organisationseinheit

Institut für Intelligente Systemtechnologien

Unterrichtssprache

Englisch

mögliche Sprache/n der Leistungserbringung

Deutsch

LV-Beginn

15.10.2019

eLearning

zum Moodle-Kurs

Studienberechtigungsprüfung

Zeit und Ort

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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

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

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 / 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 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 2021/22

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 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)