PA172 Image Acquisition

Fakulta informatiky
jaro 2019
Rozsah
2/0. 2 kr. (plus ukončení). Ukončení: zk.
Vyučující
prof. RNDr. Michal Kozubek, Ph.D. (přednášející)
Garance
doc. RNDr. Petr Matula, Ph.D.
Katedra vizuální informatiky - Fakulta informatiky
Kontaktní osoba: prof. RNDr. Michal Kozubek, Ph.D.
Dodavatelské pracoviště: Katedra vizuální informatiky - Fakulta informatiky
Rozvrh
Út 19. 2. až Út 14. 5. Út 8:00–9:50 B411
Předpoklady
Knowledge at the level of the course PV131 Digital Image Processing is desirable.
Omezení zápisu do předmětu
Předmět je nabízen i studentům mimo mateřské obory.
Mateřské obory/plány
předmět má 20 mateřských oborů, zobrazit
Cíle předmětu
In this course, the student will learn about theoretical and practical aspects of the acquisition of image data and its transformation into digital form. The focus will be on optical systems that are the most common. Particular attention is paid to the acquisition of multidimensional information. The student will gain the basic understanding of both hardware of specific detectors and transport of the data from these sensors to computer memory and representation in computer memory. Based on the gained knowledge the student will be able to choose appropriate detector for a particular application and set suitable acquisition parameters.
Výstupy z učení
The student will be able to:
formulate basic principles of digital image acquisition;
describe characteristics of the most common imaging instruments;
describe mutual interdependencies between the essential features of imaging instruments or settings;
suggest suitable configurations for a given image acquisition task;
Osnova
  • Sources and detectors of light and other types of radiation.
  • Cameras (CMOS, CCD, ICCD, EMCCD) and their properties, automatic focusing.
  • Signal digitization and related protocols, norms and interfaces.
  • Sources of noise and methods of its suppression.
  • Optical system and its components, image formation in optical systems, microscopes and telescopes.
  • Optical errors and their correction.
  • Detection of multidimensional image data and principles of acquisition of spatial (3D), spectral and time-dependent information.
  • Physical and optical cuts through the object, stereo-recording, measurement of topography (elevation) of the object surface, range imaging, tomographic approaches.
  • Automation of image data acquisition.
Literatura
  • RUSS, John C. The image processing handbook [4th ed.]. 4th ed. Boca Raton: CRC Press, 2002. 732 s. ISBN 0-8493-1142-X. info
  • Image sensors and signal processing for digital still cameras. Edited by Junichi Nakamura. Boca Raton, FL: Taylor & Francis, 2006. 336 s. ISBN 0849335450. info
  • KOZUBEK, Michal. Image acquisition and its automation in fluorescence microscopy. In From cells to proteins: Imaging nature across dimensions. Dordrecht: Springer, 2005. s. 227-270. NATO Science Series. ISBN 1-4020-3615-9. info
Výukové metody
Lectures followed by demonstrations of real acquisition devices, both consumer and scientific.
Metody hodnocení
Lectures in English, study materials in English. Final written exam, no materials allowed.
Vyučovací jazyk
Angličtina
Navazující předměty
Informace učitele
http://cbia.fi.muni.cz/
Další komentáře
Studijní materiály
Předmět je vyučován každoročně.
Předmět je zařazen také v obdobích jaro 2007, jaro 2008, jaro 2009, jaro 2010, jaro 2011, jaro 2012, jaro 2013, jaro 2014, jaro 2015, jaro 2016, jaro 2017, jaro 2018, podzim 2020, podzim 2021.