University program in electrical engineering (level 1)
3rd year of automatics
| || ||Lecturer|
Prof. Dr. Bostjan Likar
| || ||Teaching assistant|
Assoc. Prof. Dr. Tomaz Vrtovec
Asst. Dr. Robert Korez
| || ||Consultation hours|
Only in person with compulsory prior appointment via e-mail.
| || ||Exam application|
Study Information System [ https://studij.fe.uni-lj.si ]
| || ||Study material|
| ||Bostjan Likar: Biomedical Imaging Informatics and Diagnostics [in Slovenian language]. Publisher: FE and FRI, 2008. Book preview: [ PDF ]|
| ||Rafael C. Gonzalez and Richard E. Woods: Digital Image Processing. Prentice Hall, 3rd Edition, 2008. Book preview: [ PDF ]|
| || ||Short presentation|
[ PDF ]
| || ||Course description|
To comprehend the properties of human vision, techniques of acquisition of digital image data, techniques of visualization, manipulation, compression, processing and application in everyday life, industry and biomedicine.
the structure of the eye, creation of the image, adaptation to light, space and scene, spatial and light resolution, color perception, optical tricks, interpretation and understanding of images.
Digital images and videos:
definitions, spatial and time sampling and quantification of values, types and techniques of image acquisition, quality parameters.
Visualization and manipulation of images and videos:
visualization of grayscale, color and multidimensional images and videos by cross-sections and projections, rendering of surface and volume, interpolation and decimation, intensity and geomatrical transformations, artimetical operations.
Compression of images and videos:
compression basics, coding redundance, spatial and time redundance, redundant information, measuring of information and quality, compression systems, formats and standards.
Processing, restoration and analysis:
filtering and restoration of quality, morphological image processing, color image processing, basic techniques for segmentation, quantitative evaluation and understanding of image contents.
Application of image data:
in everyday life, industry and biomedicine with the purpose of acquisition of multi-dimensional information of space, objects and subjects.
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