Course syllabus T15-0064-I - Computer Image Processing (TF - SS 2018/2019)

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Slovak University of Agriculture in Nitra
Course unit code:
Course unit title: Computer Image Processing
Planned types, learning activities and teaching methods:
1 hour weekly / 13 hours per semester of study (on-site method)
5 hours per semester of study (combined method)
2 hours weekly / 26 hours per semester of study (on-site method)
15 hours per semester of study (combined method)

Control Systems in Production Engineering - master (elective), 2. semester
Control Systems in Production Engineering - master (elective), 2. semester
Level of study:
Prerequisites for registration:
Assesment methods :
During the semester 1 writing test will be per 20 points, laboratory experimental measurement with data processing per 20 points and the final writing exam per 60 points. Evaluation A needs to gain at least 93 points, evaluation B needs to gain at least 86 points, evaluation C at least 79 points, evaluation D at least 72 points and evaluation E at least 64 points.
Learning outcomes of the course unit:
Student will achieve new knowledge about processing of image and of computer methods of image processing. He is able to apply the theory and the methods in practice by means of the softwares ImageJ and GIMP on the platforms MS Windows and Linux. After completion of the subject is able to apply knowledge about processing of image, absolvent is able to use optimal processing methods and use the convenient software on image processing.
Course contents:
Digitalization of image information. Geometric transformation of image. Compression of image. Methods of suppression of perturbation and noise. Reconstruction of image. Analysis of image. Image formats. Technical instruments of image information processing. Application of image processing in the scope of precision agriculture, mark recognition, analysis of medical images and images of biologic material, control of quality of industry, detection, monitoring and recognition of moving objects, recognition of fingerprints an faces, weather forecast and remote reconnaissance of the Earth.
Recommended or required reading:
RUSS, J C. Image analysis of food microstructure. Boca Raton: CRC Press, 2005. 369 p. ISBN 0-8493-2241-3.
RUSS, J C. -- RUSS, J C. Introduction to image processing and analysis. Boca Raton: CRC Press, 2008. 355 p. ISBN 978-0-8493-7073-1.
RUSS, J C. The image processing. 5th ed. Boca Raton: CRC Press, 2007. 817 p. ISBN 0-8493-7254-2.

Klíma, M. et al: Zpracování obrazové informace. ČVUT, Praha, 1996, 177 s.
Pratt, W. K.: Digital Image Processing. New York, John Wiley & Sons, Inc. 1992, 595 s.

Language of instruction:
the course is teaching in the summer, but also in the winter semester if at least 10 students register it
Evaluation of course unit:
Assessed students in total: 104

11,5 %
32,7 %
38,5 %13,5 %
3,8 %
0 %
Name of lecturer(s): doc. RNDr. Ľubomír Kubík, PhD. (examiner, instructor, lecturer, person responsible for course)
Last modification: 8. 8. 2018
Supervisor: doc. RNDr. Ľubomír Kubík, PhD. and programme supervisor

Last modification made by Ing. Helena Barošková on 08/08/2018.

Type of output: