[ University of Ljubljana ]  [ Faculty of Electrical Engineering ]  [ Laboratory of Imaging Technologies ]   [ Print version ]  [ Slovenščina ] 
 
 
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Imaging Informatics
university program (level 1)
 
Details
 
>> Execution
University program in electrical engineering (level 1)
3rd year of automatics
 
  Lecturer
Prof. Dr. Bostjan Likar
  Teaching assistant
Assoc. Prof. Dr. Tomaz Vrtovec
  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.

    Human vision:
    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.
     
      
     
    News
     
    >> 06/09/2017   |   Zagovor laboratorijskih vaj
    V letu 2017 je laboratorijske vaje mogoče zagovarjati 9.6.2017 (13:15; P18-A2), 27.6.2017 (11:15; P18-A2) in 4.9.2017 (10:00; P18-A2). Obvezna je predhodna prijava na izbrani termin preko elektronske pošte.
     
     
      
     
    Lectures
     
    >> Prosojnice
       [ PDF ]- 1. Uvod
       [ PDF ]- 2. Vid in slike
       [ PDF ]- 3. Kakovost slik
       [ PDF ]- 4. Vzorčenje slik
       [ PDF ]- 5. Prikazovanje slik
       [ PDF ]- 6. Preslikovanje slik
       [ PDF ]- 7. Zgoščevanje slik
       [ PDF ]- 8. Obdelava slik
       [ PDF ]- 9. Razgradnja slik
       [ PDF ]- 10. Analiza objektov
       [ PDF ]- 11. Razpoznavanje objektov
     
     
      
     
    Tutorials
     
    >> Laboratorijske vaje
       [ XLSX ]- Vrednotenje in komentarji
     
    >> Vaja 0 (27.2.2017)
       [ PDF ]- Uvod v Matlab
       [ BMP ]- Slika 1
       [ RAW ]- Slika 2
       [ RAW ]- Slika 3
     
    >> Vaja 1 (6.3.2017)
       [ PDF ]- Sinteza in maskiranje slik
       [ RAW ]- CT slika
       [ RAW ]- MR slika
     
    >> Vaja 2 (13.3.2017)
       [ PDF ]- Razmerje signal/šum
       [ RAW ]- Slika
     
    >> Vaja 3 (20.3.2017)
       [ PDF ]- Interpolacija slik
       [ RAW ]- Slika
     
    >> Vaja 4 (27.3.2017)
       [ PDF ]- Prikazovanje slik
       [ RAW ]- 3D slika
     
    >> Vaja 5 (3.4.2017)
       [ PDF ]- Sivinske preslikave slik
       [ RAW ]- 3D slika
     
    >> Vaja 6 (10.4.2017)
       [ PDF ]- Geometrijske preslikave slik
       [ RAW ]- Slika
       [ RAW ]- Testna slika
       [ M ]- Interpolacija slike
     
    >> Vaja 7 (8.5.2017)
       [ PDF ]- Prostorsko filtriranje slik
       [ RAW ]- Slika
     
    >> Vaja 8 (15.5.2017)
       [ PDF ]- Morfološka obdelava slik
       [ RAW ]- Testna slika
       [ RAW ]- Realna slika
     
    >> Vaja 9 (22.5.2017)
       [ PDF ]- Razgradnja slik
       [ ZIP ]- Uporabniški vmesnik in slike
     
    >> Vaja 10 (29.5.2017)
       [ PDF ]- Označevanje objektov
       [ RAW ]- Slika (kovanci)
       [ RAW ]- Slika (tablica)
       [ M ]- Ekvivalentnost oznak
     
    >> Zagovor laboratorijskih vaj
       [ RAW ]- text-700x100-08bit.raw
       [ RAW ]- chars-100x100x26-08bit.raw
     
     
      
     
    Material
     
    >> Uvod v Matlab
       [ PDF ]
     
     
      
     
     
    Contents
     
    >> Study courses ]
     
              [ System Analysis ]
              [ Product Design and Development ]
              [ Imaging Informatics ]
                        [ Details ]
                        [ News ]
                        [ Lectures ]
                        [ Tutorials ]
                        [ Material ]
     
              [ Statistical Process Control ]
     
              [ Biomedical Informatics ]
              [ Image and Video Processing ]
              [ Biomedical Imaging Technologies ]
              [ Robot Vision ]
              [ Medical Image Analysis ]
     
              [ Biomedical Image Analysis ]
              [ Imaging Technologies ]
     
              [ Theory of Circuits and Systems ]
              [ Circuits and Systems ]
              [ Medical Informatics and Diagnostics ]
     
    >> Junior researchers and research work ]
     
    >> Graduation theses ]