OPF:INMNPPAO Computer Image Analysis - Course Information

INMNPPAO Computer Image Analysis

Extent and Intensity

2/1/0. 4 credit(s). Type of Completion: zk (examination).

Teacher(s)

Ing. Dalibor Hula (seminar tutor)

Guaranteed by

Department of Informatics and Mathematics – School of Business Administration in Karvina

Prerequisites

None

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

• Managerial Informatics (programme OPF, N_SYSINF)

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
• SOJKA E. Digitální zpracování a analýza obrazů. VŠB-TU Ostrava, 2000. ISBN 80-7078-746-5. 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

recommended literature
• SCHLESINGER, M.I. - HLAVÁČ, V. Deset přednášek z teorie statistického a strukturního rozpoznávání. Praha: ČVUT, 1999. ISBN 80-01-1998-5. info
• ŠONKA, M. - HLAVÁČ, V. Počítačové vidění. Praha: Grada, 1992. ISBN 80-85424-67-3. info

Teaching methods

Skills demonstration
Seminar classes

Assessment methods

Grade

Language of instruction

Czech

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

Activity	Difficulty [h]
Ostatní studijní zátěž	45
Přednáška	26
Seminář	13
Zkouška	40
Summary	124

• Enrolment Statistics (recent)
  
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