INFNAPAO Computer Image Analysis

School of Business Administration in Karvina
Winter 2013
Extent and Intensity
2/1/0. 4 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. Ing. Petr Čermák, Ph.D. (lecturer)
Ing. Dalibor Hula (seminar tutor)
Guaranteed by
doc. Ing. Petr Čermák, Ph.D.
Department of Informatics and Mathematics – School of Business Administration in Karvina
Prerequisites
None
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
The course familiarizes students with fundamentals of image processing and computer vision.
Syllabus
  • 1) Continuous and discrete description of the image, physiological and psychological aspects of vision.
    2) Image pre-processing: sampling and image reconstruction, linear operators, addition and convolution, transformations.
    3) Geometric transformations, digital noise filtering, histogram equalization.
    4) Image compression, lossy/lossless compression, color reduction.
    5) Mathematical and fuzzy mathematical morphology.
    6) Segmentation methods, Hough transform.
    7) Global and local features, feature detection. Region descriptors, invariance to image transformations
    8) Pattern recognition, statistical methods, adjustment of classifier, cluster analysis, neural and fuzzy neural classifiers.
Literature
    required literature
  • SCHROEDER, W., MARTIN, K., LORENSEN, B. The Visualization Toolkit An Object-Oriented Approach To 3D Graphics. Kitware, Inc. Publisher, 2002. ISBN 1-930934-07-6. info
  • KERRE E. - NACHTGEAL M. Fuzzy Techniques in Image Processing. Springer, 2000. ISBN 3-7908-1304-4. info
  • ŠONKA, M. - HLAVÁČ, V. - BOYLE, R. Image Processing, Analysis and Machine Vision. Boston: PWS, 1998. ISBN 0-534-953-93. info
  • HARALICK, R. M. - SHAPIRO, L. G. Computer and Robot Vision. New York: Addison-Wesley, 1992. ISBN 0-201-56943-4. info
  • PRATT, W. K. Digital Image Processing, Second Edition. New York: Wiley-Interscience, 1991. ISBN 0-471-85766-1. info
Teaching methods
Skills demonstration
Seminar classes
Assessment methods
Grade
Language of instruction
English
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
Teacher's information
attendance in seminars 50 %, seminar paper, combined exam
ActivityDifficulty [h]
Ostatní studijní zátěž45
Přednáška26
Seminář13
Zkouška40
Summary124
  • Enrolment Statistics (recent)
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