This is not a course in the sense of the lecture, but rather a collection of information and material for international master students in computer science with a focus area on Visual Computing, who got admitted with a pre-requisite to take a course on image processing.
As our Bachelor courses are in German, you have to study image processing based on English lecutre material. Once you are done studying the material, please write an email to me, michael.moeller@uni-siegen.de, and ask for an appointment for an oral exam for a prerequisite course on image processing.
I am offering two alternatives for the content of the exam. You as a student can choose which one you prefer.
- Option 1: Study a part of the lecture materials from the courses "Introduction to Visual Computing" and "Digital Image Processing" as taught in the Bachelor at the University of Siegen. (Advantage: Same prior knowledge as local Bachelor students, probably less material; disadvantage: information on the slides is sparse, audio is missing, possibly more difficult to study)
- Option 2: Study the following parts of the book "Digital Image Processing" by Rafael Gonzalez and Richard Woods:
- the section "Introduction to the Basic Mathematical Tools Used in Digital Image Processing" (as part of chapter 2)
- the entire chapter 3
- chapter 4 up until (but not including) "The Basics of Filtering in the Frequency Domain"
- the sections "color fundamentals" from Chapter 6.
A copy of the book can be found in the library. (Advantage: The book is written for self-studies, disadvantage: problably more to read and understand).
When asking for the exam, please let me know which material you'd like to take the exam about. In addition, in case you are unfamiliar with Python, please make sure you study Python, NumPy and first steps with images in NumPy.
- Dozent/in: Michael Möller