Duration:
1 Semester | Turnus of offer:
every second winter semester | Credit points:
4 |
Course of studies, specific field and terms: - Master MES 2020 (optional subject), mathematics / natural sciences, Arbitrary semester
- Master Medical Informatics 2019 (optional subject), medical image processing, 1st or 2nd semester
- Master Medical Informatics 2014 (optional subject), medical image processing, 1st or 2nd semester
- Master MES 2014 (optional subject), mathematics / natural sciences, 1st or 3rd semester
- Master MES 2011 (optional subject), mathematics, 1st or 3rd semester
- Master Computer Science 2012 (optional subject), advanced curriculum imaging systems, 2nd or 3rd semester
- Master MES 2011 (advanced curriculum), imaging systems, signal and image processing, 1st or 3rd semester
- Master Computer Science 2012 (compulsory), advanced curriculum numerical image processing, 2nd or 3rd semester
- Master CLS 2010 (compulsory), mathematics, 1st or 3rd semester
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Classes and lectures: - Mathematics in Image Processing (exercise, 1 SWS)
- Mathematics in Image Processing (lecture, 2 SWS)
| Workload: - 65 Hours private studies and exercises
- 45 Hours in-classroom work
- 10 Hours exam preparation
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Contents of teaching: | - Image processing
- Digital images
- Operators in the spatial domain
- Operators in the Fourier domain
- Deblurring
- Total variation
- Segmentation
- Level-set methods
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Qualification-goals/Competencies: - Students have a solid mathematical understanding of typical image processing methods.
- They can compare and assess typical mathematical image processing methods.
- They can derive typical mathematical methods for image processing.
- They understand fundamental operators in image processing.
- They understand fundamental discretization techniques.
- They understand typical numerical methods for image processing.
- They are able to implement fundamental numerical methods for image processing.
- Interdisciplinary qualifications:
- Students have advanced skills in modeling.
- They can translate theoretical concepts into practical solutions.
- They are experienced in implementation.
- They can think abstractly about practical problems.
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Grading through: - Written or oral exam as announced by the examiner
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Is requisite for: |
Requires: |
Responsible for this module: Teachers: |
Literature: - Gonzales/Woods: Digital Image Processing - Prentice Hall, 2007
- Russ: The Image Processing Handbook - CRC Press, 2011
- Handels: Medizinische Bildverarbeitung - Vieweg+Teubner, 2009
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Language: - German and English skills required
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Notes:Prerequisites for attending the module: - None (The competences of the required modules are required for this module, but the modules are not a prerequisite for admission). Prerequisites for the exam: - Preliminary examinations can be determined at the beginning of the semester. If preliminary work has been defined, it must have been completed and positively assessed before the initial examination. |
Letzte Änderung: 9.5.2022 |
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