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INFB  Image Processing Course INF
Lecturers : Prof. Dr. Thomas Schrader    eMail
Term 3
Course Classification : Bachelor Informatik, Profil-Katalog B-INF-Profil CH 4
Language : Englisch Type VÜ 
Type of examination : PL  Credits
Method of evaluation : written examination 120 min 
Requirements :
Cross References :  
Previous knowledges :  
Aids and special features :  
Teaching aims :  
Contents :

 

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.  


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