Imaging Technologies

Higher education teachers: Likar Boštjan

Subject description

Prerequisits:

• Enrolment in the study program.

Content (Syllabus outline):

• 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.

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.

Intended learning outcomes:

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.

Learning and teaching methods:

Teaching is conducted in the form of lectures, which address theoretical methods, the most common technologies and practical examples.

Study materials

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.