Course detail
Advanced methods of processing and analysis of images
FEKT-DBM1Acad. year: 2020/2021
- 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)
Supervisor
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
- Programme EKT-PP Doctoral
branch PP-KAM , 1. year of study, winter semester, 4 credits, optional specialized
- Programme EKT-PK Doctoral
branch PK-KAM , 1. year of study, winter semester, 4 credits, optional specialized
- Programme EKT-PP Doctoral
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
branch PK-MET , 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
branch PP-FEN , 1. year of study, winter semester, 4 credits, optional specialized - Programme EKT-PK Doctoral
branch PK-FEN , 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
- Programme EKT-PK Doctoral
branch PK-SEE , 1. year of study, winter semester, 4 credits, optional specialized
branch PK-TLI , 1. year of study, winter semester, 4 credits, optional specialized - Programme EKT-PP Doctoral
branch PP-TLI , 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
- Programme EKT-PP Doctoral
branch PP-TEE , 1. year of study, winter semester, 4 credits, optional specialized