Image Processing
Faculteit  Science and Engineering 
Jaar  2020/21 
Vakcode  WMCS00805 
Vaknaam  Image Processing 
Niveau(s)  master 
Voertaal  Engels 
Periode  semester I b 
ECTS  5 
Rooster  rooster.rug.nl 
Uitgebreide vaknaam  Image Processing  
Leerdoelen  At the end of the course, the student is able to: 1. reproduce and apply knowledge of the basic mathematical and computational concepts regarding image acquisition, digitization, enhancement, colour models, (non)linear image filtering, wavelet analysis, edgedetection, segmentation, and image description; 2. show proficiency in the implementation of simple image processing algorithms; 3. collaborate with others in performing practical assignments and reporting about it. 

Omschrijving  The course provides insight in the basic concepts of digital image processing, from image acquisition, digitization, and preprocessing, to image enhancement, compression, restoration, segmentation and description. Both standard linear image processing algorithms are treated, as well as some concepts and algorithms from nonlinear morphological image processing. Also, some results on multiscale image analysis are presented. The student acquires experience with the design and implementation of image processing algorithms.  
Uren per week  
Onderwijsvorm  Hoorcollege (LC), Practisch werk (PRC)  
Toetsvorm 
Practisch werk (PR), Schriftelijk tentamen (WE)
((Let P = mark practicals, E = mark written exam. The final grade F for this course is obtained as follows: if E<5 then F=E else F= (E+2P)/3. In order to pass, students must get a mark of at least 5.5 for PR and E separately, and F has to be at least 5.75. A final grade above 4.75 and below 5.75 will result in a final grade 5.0, in all other cases the grade is rounded to the nearest halfinteger value.) 

Vaksoort  master  
Coördinator  dr. E. Talavera Martínez  
Docent(en)  dr. E. Talavera Martínez  
Verplichte literatuur 


Entreevoorwaarden  The course unit assumes prior knowledge acquired from linear algebra, analysis (integration and differentiation, Fourier analysis), discrete structures (set theory, lattices), signals and systems, elementary statistics, and basic programming skills with a working knowledge of Matlab.  
Opmerkingen  In the academic year 20202021, some CS master courses — including Image Processing — have limited enrollment:  CS students can always enter the course, regardless of whether the course is mandatory for them or not.  Students from other programmes for which this is a *compulsory* course (see list below), can always enter the course.  The number of enrolments for other nonCS students is limited. These students need to meet the course prerequisite requirements as mentioned on Ocasys. Priority is given to students for which the course is an official elective (see list below).  An exception can be made for exchange students, if they have a CS background: please contact the FSE International Office. See here for more info about the enrollment procedure. This course was registered last year with course code INMIP08 

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