| INFB Image Processing | Course | INF | |
|---|---|---|---|
| Lecturers : |
Prof. Dr. Thomas Schrader
eMail
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Term | 3 |
| Course Classification : | Bachelor Informatik, Profil-Katalog B-INF-Profil | CH | 4 |
| Language : | Deutsch/Englisch | Type | VÜ |
| Type of examination : | PL | Credits | 5 |
| Method of evaluation : | written examination 120 min | ||
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| Literature : | 1. Zhou SK, Greenspan H, Shen D. Deep learning for medical image analysis [Internet]. 2017 [zitiert 12. Juli 2017]. Verfügbar unter: http://public.eblib.com/choice/publicfullrecord.aspx?p=4789490 2. Solomon C, Breckon T. Fundamentals of digital image processing: a practical approach with examples in Matlab. Chichester, West Sussex ; Hoboken, NJ: Wiley-Blackwell; 2011. 328 S. 3. García GB, Herausgeber. Learning image processing with OpenCV: exploit the amazing features of OpenCV to create powerful image processing applications through easy-to-follow examples. Birmingham: Packt Publ; 2015. 208 S. (Packt open source). 4. Bovik AC. The essential guide to image processing. London ; Boston: Academic Press; 2009. 853 S. | ||