Course detail

Advanced methods of processing and analysis of images

FEKT-DBM1Acad. year: 2018/2019

- 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.

Prerequisites

Multiparametric signals, background in digital image processing

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

J.Jan: Digital Signal Filtering, Analysis and Restoration. IEE London, UK, 2000, 407 pp.
J.Jan: Medical Image Processing, Reconstruction and Restoration - Concepts and Methods. CRC Press - Taylor & Francis Group, USA, 2005, 760 pp.

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 selfstudy.

Assesment methods and criteria linked to learning outcomes

Final oral exam

Language of instruction

Czech

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

Classification of course in study plans

  • Programme EKT-PP Doctoral

    branch PP-BEB , 1. year of study, winter semester, 4 credits, optional specialized

  • Programme EKT-PK Doctoral

    branch PK-BEB , 1. year of study, winter semester, 4 credits, optional specialized
    branch PK-KAM , 1. year of study, winter semester, 4 credits, optional specialized

  • Programme EKT-PP Doctoral

    branch PP-KAM , 1. year of study, winter semester, 4 credits, optional specialized
    branch PP-EST , 1. year of study, winter semester, 4 credits, optional specialized

  • Programme EKT-PK Doctoral

    branch PK-EST , 1. year of study, winter semester, 4 credits, optional specialized

  • Programme EKT-PP Doctoral

    branch PP-MVE , 1. year of study, winter semester, 4 credits, optional specialized

  • Programme EKT-PK Doctoral

    branch PK-MVE , 1. year of study, winter semester, 4 credits, optional specialized

  • Programme EKT-PP Doctoral

    branch PP-MET , 1. year of study, winter semester, 4 credits, optional specialized

  • Programme EKT-PK Doctoral

    branch PK-MET , 1. year of study, winter semester, 4 credits, optional specialized
    branch PK-FEN , 1. year of study, winter semester, 4 credits, optional specialized

  • Programme EKT-PP Doctoral

    branch PP-FEN , 1. year of study, winter semester, 4 credits, optional specialized

  • Programme EKT-PK Doctoral

    branch PK-SEE , 1. year of study, winter semester, 4 credits, optional specialized

  • Programme EKT-PP Doctoral

    branch PP-SEE , 1. year of study, winter semester, 4 credits, optional specialized
    branch PP-TLI , 1. year of study, winter semester, 4 credits, optional specialized

  • Programme EKT-PK Doctoral

    branch PK-TLI , 1. year of study, winter semester, 4 credits, optional specialized

  • Programme EKT-PP Doctoral

    branch PP-TEE , 1. year of study, winter semester, 4 credits, optional specialized

  • Programme EKT-PK Doctoral

    branch PK-TEE , 1. year of study, winter semester, 4 credits, optional specialized

Type of course unit

 

Seminar

39 hours, optionally

Teacher / Lecturer