Subject description
Image acquisition techniques: digital photography, cameras and illumination units for visible and invisible part of the electromagnetic spectrum, microscopy, radiography, computed tomography, magnetic resonance imaging, ultrasonic imaging, advanced and emerging imaging techniques.
Methods for image restoration, calibration, processing, analysis, integration, measuring and understanding of image content – with the emphasis on robustness, reliability, stability and applicability in real-time.
Design, integration and application of imaging technologies and computer and machine vision systems – in everyday life, in industry and in biomedicine – for the extraction of multidimensional information about the inspected space, objects and subjects.
The subject is taught in programs
Objectives and competences
To introduce digital image acquisition techniques and methods for image management and image processing for various applications in everyday life, in industry and in biomedicine.
Teaching and learning methods
Teaching is conducted in the form of lectures, which address theoretical methods, the most common technologies and practical examples.
Expected study results
The understanding of imaging physical backgrounds, technologies and devices for image acquisition, expertise in image restoration and image analysis, and applicable knowledge on imaging systems and technologies.
Basic sources and literature
[1] Machine Vision: Theory, Algorithms, Practicalities, E. R. Davies, Morgan Kaufmann, 2005.
[2] Handbook of Machine Vision, A. Hornberg, Wiley-VCH, 2006.
[3] Medical Imaging Signals and Systems, J. L. Prince, J. Links, Prentice Hall, 2005.
[4] Digital Image Processing, R. C. Gonzalez, R. E. Woods, Prentice Hall, 2008.
[5] Biomedicinska slikovna informatika in diagnostika, B. Likar, Založba FE in FRI, 2008.
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University of Ljubljana, Faculty of Electrical Engineering Tržaška cesta 25, 1000 Ljubljana