Course detail

Advanced methods of processing and analysis of images

FEKT-DBM1AOptional specializedDoctoral (3rd cycle)Acad. year: 2017/2018Winter semester1. year of study4  credits

- 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)

Learning outcomes of the course unit

Modern advanced methods of image processing and analysis.

Mode of delivery

90 % face-to-face, 10 % distance learning

Prerequisites

Backgrounds in digital signal and image processing

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

J.Jan: Medical Image Processing, Reconstruction and Restoration. CRC 2006

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations. Techning methods include lectures and self study.

Assesment methods and criteria linked to learning outcomes

Final oral exam

Language of instruction

English

Work placements

Not applicable.

Course curriculum

Advanced image segmentation, fusion of image data, image restoration, image reconstruction from tomographic data.

Aims

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.

Specification of controlled education, way of implementation and compensation for absences

none

Type of course unit

 

Seminar

39 hours, optionally

Teacher / Lecturer