700.304 (17W) Fundamentals of Image Processing
Overview
- Lecturer
- Course title german Fundamentals of Image Processing
- Type Lecture - Course (continuous assessment course )
- Hours per Week 2.0
- ECTS credits 4.0
- Registrations 11 (50 max.)
- Organisational unit
- Language of instruction English
- possible language(s) of the assessment German
- Course begins on 22.01.2018
- eLearning Go to Moodle course
Time and place
Course Information
Intended learning outcomes
The students
- are able use the basic methods for image processing,
- have a good command of the machine learning approaches for the description of image features and object recognition,
- are able to transfer the acquired knowledge of image processing to solve complex applications for industry and research,
- are able to describe the state-of-the-art of the presented topics
Teaching methodology including the use of eLearning tools
The course has two major parts. The first part consists of the theoretical and methodic fundamentals that will be introduced during the lecture. The second part consists of intensive lab work where students can implement, test, and apply the presented methods. The major lab language will be Matlab but additional programming languages will be introduced like C++ (OpenCV) and Python.
Course content
- Introduction (color systems & image formats
- Image Transformations
- Image Filtering
- Morphology
- Edge Detection
- Polygon and Corner Detection
- Image Interpolation
- Invariant Features
- Camera Calibration
- Scale invariant feature transform
- Object Recognition
- Autonomous Vehicles
Prior knowledge expected
Basic knowledge of any programming language
Literature
Machine Vision, E.R. DaviesElsevier, Third EditionISBN-10: 0122060938ISBN-13: 978-0122060939Digital Image Processing (3rd Edition)[Hardcover] Rafael C. Gonzalez (Author), Richard E. Woods (Author)ISBN-10: 013168728XISBN-13: 978-0131687288
Examination information
Examination methodology
Written Exam + Project
Examination topic(s)
The student should pass a written exam successfully which reflects the understanding of the presented concepts and approaches. Additionally, the students should design and implement a fully working system in the field of machine learning.
Assessment criteria / Standards of assessment for examinations
The final evaluation is divided as follows:
70% Exam
30% Project
Grading scheme
Grade / Grade grading schemePosition in the curriculum
- 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
-
2.6 Bildverarbeitung (
2.0h VC / 3.0 ECTS)
-
Subject: Information Technology
(Compulsory elective)
- 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)
-
Bildverarbeitung (
2.0h VO / 3.0 ECTS)
-
Subject: Information Technology
(Compulsory elective)
- 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)
-
Wahl von Lehrveranstaltungen (
0.0h VK/VO/KU / 6.0 ECTS)
-
Subject: Informationstechnische Vertiefung
(Compulsory elective)
- 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)
-
Wahl aus dem LV-Katalog (Anhang 4) (
0.0h VK, VO, KU / 14.0 ECTS)
-
Subject: Information and Communications Engineering: Supplements (NC, ASR)
(Compulsory elective)
- 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)
-
Wahl aus dem LV-Katalog (Anhang 5) (
0.0h VK, VO, KU / 12.0 ECTS)
-
Subject: Technical Complements (NC, ASR)
(Compulsory elective)
- 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)
-
Wahl aus dem LV-Katalog (Anhang 4) (
0.0h VK, VO, KU / 14.0 ECTS)
-
Subject: Information and Communications Engineering: Supplements (NC, ASR)
(Compulsory elective)
- 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)
-
Wahl aus dem LV-Katalog (Anhang 5) (
0.0h VK, VO, KU / 12.0 ECTS)
-
Subject: Technical Complements (NC, ASR)
(Compulsory elective)
Equivalent courses for counting the examination attempts
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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 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 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)