PA172 Image Acquisition

Faculty of Informatics
Spring 2025
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
In-person direct teaching
Teacher(s)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Michal Kozubek, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
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.
Learning outcomes
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;
Syllabus
  • 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.
Literature
  • 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, p. 227-270. NATO Science Series. ISBN 1-4020-3615-9. info
Teaching methods
Lectures followed by demonstrations of real acquisition devices, both consumer and scientific.
Assessment methods
Lectures in English, study materials in English. Final written online exam.
Language of instruction
English
Follow-Up Courses
Further Comments
The course is taught annually.
The course is taught: every week.
Teacher's information
https://cbia.fi.muni.cz/
The course is also listed under the following terms Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2023.
  • Enrolment Statistics (recent)
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