700.304 (19W) Fundamentals of Image Processing

to moodle

Wintersemester 2019/20

Registration deadline has expired.

First course session
15.10.2019 09:30 - 19:30 On Campus

... no further dates known

Overview

Lecturer

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

Course title german

Fundamentals of Image Processing

Type

Lecture - Course (continuous assessment course )

Hours per Week

2.0

ECTS credits

4.0

Registrations

20 (50 max.)

Organisational unit

Institut für Intelligente Systemtechnologien

Language of instruction

English

possible language(s) of the assessment

German

Course begins on

15.10.2019

eLearning

Go to Moodle course

University entrance qualification examination

Yes

Time and place

List of events is loading...

Intended learning outcomes

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.

Teaching methodology including the use of 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.

Course content

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)

Prior knowledge expected

Basic knowledge of Mathematics (matrices and their operations).

Literature

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

Intended learning outcomes

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.

Teaching methodology including the use of eLearning tools

Course content

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)

Prior knowledge expected

Basic knowledge of Mathematics (matrices and their operations).

Literature

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

Examination information

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.

Grading scheme

Grade / Grade grading scheme

Position in the curriculum

Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 19W.2)
- Subject: Informationstechnik (Compulsory elective)
  - 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

Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 17W.1)
- Subject: Information Technology (Compulsory elective)
  - 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

Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 12W.1)
- Subject: Information Technology (Compulsory elective)
  - 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)
- Subject: Informationstechnische Vertiefung (Compulsory elective)
  - 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)

Bachelor's degree programme Information Technology (SKZ: 289, Version: 12W.2)
- Subject: Informationstechnische Vertiefung (Compulsory elective)
  - 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)
- Subject: Information and Communications Engineering: Supplements (NC, ASR) (Compulsory elective)
  - 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)
- Subject: Technical Complements (NC, ASR) (Compulsory elective)
  - 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)
- Subject: Information and Communications Engineering: Supplements (NC, ASR) (Compulsory elective)
  - 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)
- Subject: Technical Complements (NC, ASR) (Compulsory elective)
  - 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)
- Subject: Information and Communications Engineering (Compulsory elective)
  - 9.4 Fundamentals of Image Processing ( 2.0h VC / 4.0 ECTS)
    - 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)

Equivalent courses for counting the examination attempts

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)