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Course detail

Advanced methods of processing and analysis of signals and images

Subjet code : FEKT-DBM1
Faculty: Faculty of Electrical Engineering and Communication
Academic year: 2011/2012
Open: Yes
Supervisor: prof. Ing. Jiří Jan, CSc.
Department: Department of Biomedical Engineering
Study level: Doctoral
Study form: full-time study
Language of instruction: Czech
Number of credits: 4
Completion: examination
Year of study: 1
Semester: winter
Duty: optional specialized

The study programmes with the given course

Objective of the course – aims of the course unit:
Presentation of modern advanced concepts of signal and image processing. The aim is a deep understanding of the methodology, as well as inclusion of student into discussions on the philosophy of the methods.
Objective of the course – learning outcomes and competences:
Modern advanced methods of image processing and analysis.
Prerequisites:
Backgrounds in digital signal and image processing
Course contents (annotation):
- Signal restoration, optimal and adaptive filtering (Jan)
- Spectral analysis of stochastic signals (Kozumplík)
- Neronal networks in signal processing and analysis (Jan)
- Time-frequency analysis (Provazník)
- Formalised restoration of image data (Jan)
- Advanced image segmentation (Jan)
- Generalised morfological transforms of image data (Jan)
- Fusion of image data (Jan)
Teaching methods and criteria:
Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.
Assesment methods and criteria linked to learning outcomes:
Final oral exam
Course curriculum:
Advanced image segmentation, fusion of image data, image restoration, image reconstruction from tomographic data.
Specification of controlled education, way of implementation and compensation for absences:
none
Recommended reading:
J.Jan: Digital Signal Filtering, Analysis and Restoration. IEE London, UK, 2000, 407 pp.
J.Jan: Číslicová filtrace, analýza a restaurace signálů. VUTIUM Brno 1997, 2002, 2005, 429 str.
J.Jan: Medical Image Processing, Reconstruction and Restoration - Concepts and Methods. CRC Press - Taylor & Francis Group, USA, 2005, 760 pp.

Type of course unit:
39 hours, optionally
Teacher: prof. Ing. Jiří Jan, CSc.