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Teaching activities

Our laboratory provides its own study field at the Faculty of Informatics. It is entitled "Image Processing".

The aim is to provide students with a set of courses where they can gain theoretical knowledge as well as practical experience. The ratio between theory and experience can slightly vary and the resulting value is up to each student individually. We also provide courses in which students can directly participate in the applied research that we undergo.

The scope of the study field is to provide students with the basic knowledge of digital image acquisition and processing (optical system behaviour, image formation and sampling, types of noise, etc.) as well as advanced methods of image analysis (energy minimization methods, image registration, etc.). We also provide specialized courses on digital geometry, filtering techniques or mathematical morphology.

However in order to educate a well-founded expert, that can design algorithms and lead the development of software tools, it is not enough to understand "just" image processing and analysis. Demands on the software must be considered from the point of view of end user whose background is typically biology, medicine or physics. Hence, students can benefit from courses such as "Biology Panorama" or "Scientific Instruments". In such courses, computer science students make an important step in communication towards the expert in other field. Students may learn basic terminology and principles as well as basics of biophysical or biochemical processes and specific cell behaviour.

More details can be found in the Information System of Masaryk University by clicking on the course code below. The list presents courses taught by members of CBIA that form the core of the study field "Image Processing".

List of courses organized at CBIA

PA166: Advanced Methods of Digital Image Processing
Course description: The course is focused on state-of-the-art mathematically well-founded methods of digital image analysis and processing.

PA170: Digital Geometry
Course description: We discuss problems that arise from object digitalization and their representation by the set of points on a grid. Especially, we show how to measure geometric as well as topologic properties of digital sets (distance, length, volume, etc.).

PA171: Digital filtering
Course description: Introduction to principles and practical use of all basic image transforms (Fourier transform, Wavelet transform, Deconvolution, Edge detection, etc.) used in digital image processing.

PA172: Image Acquisition Principles
Course description: Theoretical and practical aspects of the acquisition of image data and its transformation into digital form with the focus on optical systems and acquisition of multidimensional information.

PA173: Mathematical Morphology
Course description: The lecture is focused on mathematical morphology in image analysis. The methods will be discussed from theoretical, application and algorithmic point of view. Students can try the methods on simple practical examples.

PB173: Domain specific development in C/C++
Course description: Practically oriented course where students most of the time develop simple C/C++ applications which are focused on certain aspects typical for the field of image processing. Students are also tutored to learn to use modern development tools.

PV131: Digital Image Processing
Course description: Basics of digital image processing. Introduction into image formation, sampling, enhancement, restoration, segmentation, registration, object measurement and classification.

PV162: Image Processing Project
Course description: Work on a project in the chosen area of digital image processing.

PV163: Biomedical Image Processing Project
Course description: Work on a project in the chosen area of biomedical image processing.

PV184: Scientific Instruments
Course description: Principles of function of various instruments: laser, photomultiplier, CCD camera, optical fibre, magnetic resonance spectrometer, optical and electron microscopy, near-field and atomic force microscopy, mass spectroscopy, use of ultrasound in medicine, EKG and EEG, brain MRI, RTG tomography, etc.

PV185: Panorama of biology I
Course description: The aim of this course is to introduce basics of biology, especially chemical structure of living organisms, basics of cell biology, genetics, evolution and animal physiology. This course continues as Biology Panorama II in the next semester.

PV186: Panorama of biology II
Course description: The aim of this course is to make graduates of Biology Panorama I acquainted with actual know edge in interesting questions of today, e.g. cloning, GMO, civilization and epidemic diseases, genome therapy, evolution and future of Homo sapiens.

PV187: Laboratory of Optical Microscopy
Course description: Students work in the CBIA team and take part in solving research and programming tasks from various fields of microscopy image processing.
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