This course develops an understanding of the fundamental characteristics of digital systems used in imaging, together with general concepts of science, quantitative methods. This course covers basic algorithms for image manipulation, characterization, filtering, segmentation, feature extraction and template matching in direct space and Fourier space. The course provides the opportunity for students to explore a range of practical techniques, by developing their own simple processing functions using library facilities and tools such as Matlab.
On completion of this course the student will be able to:
LecturesLaboratory workNet Support Learning
Lectures by the course teacher and guest lecturers.
Lab sessions and homework assignments. Two or three of the homework assignments will be graded.
E-learning material: lectures notes in PDF and audio recordings of the lectures and important exercises.
Written exam, 3 hoursExercises
Alphabetical Scale, A(best) – F (fail)
Internal examiner for the written exam and exercises.
Written exam: ordinary re-sit examination
English translation dictionary.
Further reading material:
Partial overlap with IMT4401 Digital Image Reproduction
© Gjøvik University College
2815 Gjøvik, Norway
Tel.: +47 61 13 51 00
Fax: +47 61 13 51 70
postmottak @ hig.no
webredaksjonen @ hig.no