PV187 Seminar of Digital Image Processing

Fakulta informatiky
jaro 2023
Rozsah
0/0/2. 2 kr. Ukončení: z.
Vyučující
prof. RNDr. Michal Kozubek, Ph.D. (přednášející)
doc. RNDr. Martin Maška, Ph.D. (přednášející)
Garance
doc. RNDr. Petr Matula, Ph.D.
Katedra vizuální informatiky – Fakulta informatiky
Dodavatelské pracoviště: Katedra vizuální informatiky – Fakulta informatiky
Rozvrh
Út 14. 2. až Út 9. 5. Út 12:00–13:50 A321
Předpoklady
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).
Omezení zápisu do předmětu
Předmět je nabízen i studentům mimo mateřské obory.
Mateřské obory/plány
předmět má 70 mateřských oborů, zobrazit
Cíle předmětu
The student will gain a more profound knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.
Výstupy z učení
The student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others;
Osnova
  • This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells, tissues and organs, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literatura
  • Scientific books and articles according to the recommendation of project supervisor.
Výukové metody
The core work consists in studying a research problem from literature or online resources including the behaviour of selected methods according to the supervisor's instructions. Active participation in the research seminar is expected including own presentation in English once per semester.
Metody hodnocení
Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and online resources, a final presentation on the seminar in English (notebook and data projector available).
Vyučovací jazyk
Angličtina
Informace učitele
http://cbia.fi.muni.cz/
Další komentáře
Předmět je vyučován každý semestr.
Předmět je zařazen také v obdobích podzim 2006, jaro 2007, podzim 2007, jaro 2008, podzim 2008, jaro 2009, podzim 2009, jaro 2010, podzim 2010, jaro 2011, podzim 2011, jaro 2012, podzim 2012, jaro 2013, podzim 2013, jaro 2014, podzim 2014, jaro 2015, podzim 2015, jaro 2016, podzim 2016, jaro 2017, podzim 2017, jaro 2018, podzim 2018, jaro 2019, podzim 2019, jaro 2020, podzim 2020, jaro 2021, podzim 2021, jaro 2022, podzim 2022, podzim 2023, jaro 2024, podzim 2024, jaro 2025.