Course: Image Analysis and Recognition

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Course title Image Analysis and Recognition
Course code UF/0D190
Organizational form of instruction Lecture
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • HLEDÍK Stanislav, doc. RNDr. Ph.D.
Course content
1. Mathematical description of continuous and discrete image, physiological and psychological aspects of vision, mathematical model of monochrome and color vision, image types and equipment for their capture. 2. Image pre-processing: sampling and image reconstruction, linear operators, addition and convolution, unit transformations. Geometric transformations, digital noise filtering, image sharpening and clarifying the edges, histogram and its equalization. 3. Mathematical morphology: dilation, erosion, closing and opening. 4. Image segmentation: thresholding segmentation, adaptive thresholding. Monitoring the border, Hough transform. Segmentation by area accretion and cleavage, by direct comparison with the model. 5. Feature detection and pattern recognition: global and local symptoms, evaluation of symptoms, independence to image transformations, feature statistical methods for pattern recognition, classifiers. 6. Application of selected methods in practice. Current information and additional study materials can be found here: http://www.hledik.org/

Learning activities and teaching methods
unspecified, unspecified, One-to-One tutorial, Skills demonstration, unspecified
  • unspecified - 1 hour per semester
  • unspecified - 24 hours per semester
  • unspecified - 24 hours per semester
  • unspecified - 15 hours per semester
Recommended literature
  • HARALICK, R. M. - SHAPIRO, L. G. Computer and Robot Vision. New York: Addison-Wesley, 1992. ISBN 0-201-56943-4.
  • SCHLESINGER, M.I. - HLAVÁČ, V. Deset přednášek z teorie statistického a strukturního rozpoznávání. Praha: ČVUT, 1999. ISBN 80-01-1998-5.
  • SOJKA E. Digitální zpracování a analýza obrazů. VŠB-TU Ostrava, 2000. ISBN 80-7078-746-5.
  • ŠONKA, M. - HLAVÁČ, V. - BOYLE, R. Image Processing, Analysis and Machine Vision. Boston: PWS, 1998. ISBN 0-534-953-93.


Study plans that include the course
Faculty Study plan (Version) Branch of study Category Recommended year of study Recommended semester
Faculty of Philosophy and Science in Opava Multimedia Technologies (1) Physics courses 3 Summer