450-4021/01 – Image Processing in the Area of Measurement and Control (ZOMŘT)

Gurantor departmentDepartment of Cybernetics and Biomedical EngineeringCredits5
Subject guarantorIng. Zdeněk Macháček, Ph.D.Subject version guarantorIng. Zdeněk Macháček, Ph.D.
Study levelundergraduate or graduateRequirementOptional
Year2Semestersummer
Study languageCzech
Year of introduction2010/2011Year of cancellation
Intended for the facultiesFEIIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
KOD0018 Ing. Pavel Kodytek
MAC37 Ing. Zdeněk Macháček, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Combined Credit and Examination 2+12

Subject aims expressed by acquired skills and competences

The main goal of the subject is to acquiant the students with the foundations of digital image processing and analysis. Student will be able to use methods for image processing based on SW Matlab/Simulink.

Teaching methods

Lectures
Tutorials
Project work

Summary

The subject is focused on methods for image processing in area of measurement and control. Lectures are focused on theoretical fundamental from area of digital image processing like image digitizing, segmentation, edge detection, image transformation, image filtering etc. Exercising are mainly focused on problematics image processing using SW Matlab and Image Processing Toolbox and Video and Image Processing Blockset. The main task for students is semestral work from image processing problematics.

Compulsory literature:

Sonka, M., Hlavac, V., Boyle, R.: Image Processing, Analysis and Machine Vision. Third edition. Thomson/West, Toronto, 2008. ISBN 10: 0-495-08252-X, ISBN 13: 978-0-495-08252-1. Gonzales, R.C., Woods, R.E.: Digital Image Processing. Prentice Hall,2002.ISBN 0-201-18075-8.

Recommended literature:

Sonka, M., Hlavac, V., Boyle, R.: Image Processing, Analysis and Machine Vision. Third edition. Thomson/West, Toronto, 2008. ISBN 10: 0-495-08252-X, ISBN 13: 978-0-495-08252-1. Gonzales, R.C., Woods, R.E.: Digital Image Processing. Prentice Hall,2002.ISBN 0-201-18075-8.

Way of continuous check of knowledge in the course of semester

Verification of study: Exercise credits: Student is classifying on base series of tasks. A student has to achieve 15 points from 30 points. Examination: Practical part: Individual project 1-30 points. Test: 1-30 points. Oral part: 1-10 points. Student have to succeed in all parts of examination.

E-learning

Další požadavky na studenta

Another demands for student are not.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Lectures: 1. Introduction to the problematics of image processing. Using Matlab for image processing. 2.Properties of digital image. 3. Transformations of brightness, Histogram. 4. Image transforms. The Fourier transform, discrete Fourier transform, Properties of Fourier transform and its application in digital image processing. 5.Image filtering in frequency domain. 6. Geometrical transformations of images. 7. Sampling and reconstructing of images. 8. Morphological transformations of images. 9. Image segmentation. 10. Image recognition. 11. Color image processing. 12. JPEG and MPEG compression. 13. Final test. Computer labs: During the exercises, the students work out a series of practical tasks (convolution, Fourier transform, compression, transformations of brightness, geometrical transformations, measuring objects, and classification). The tasks are prepared in the form of templates (pre-prepared programs) into which the sudents fill their own source code. In this way, they can focus on substantial and interesting issues. Project: Student processes the project on "Image analysis using classical methods of image processing.". Time demands of the project is 10 hours.

Conditions for subject completion

Combined form (validity from: 2010/2011 Winter semester, validity until: 2011/2012 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Exercises evaluation and Examination Credit and Examination 100 (100) 51
        Exercises evaluation Credit 30 (30) 0
                Laboratorní práce Laboratory work 30  0
        Examination Examination 70 (70) 0
                Písemná zkouška Written examination 60  0
                Ústní zkouška Oral examination 10  0
Mandatory attendence parzicipation:

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Occurrence in study plans

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Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner