456-0902/01 – Digital Image Processing and Analysis (DZAO)

Gurantor departmentDepartment of Computer ScienceCredits0
Subject guarantordoc. Dr. Ing. Eduard SojkaSubject version guarantordoc. Dr. Ing. Eduard Sojka
Study levelpostgraduateRequirementChoice-compulsory
YearSemesterwinter + summer
Study languageCzech
Year of introduction1997/1998Year of cancellation2010/2011
Intended for the facultiesFEIIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
SOJ10 doc. Dr. Ing. Eduard Sojka
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 3+0
Part-time Credit and Examination 3+0

Subject aims expressed by acquired skills and competences

The goal of the subject is to acquiant the students with the foundations of digital image processing and analysis.

Teaching methods

Individual consultations

Summary

The following topics are discussed: Mathematical preliminaries for digital image processing. Fourier, cosine, and wavelet transforms. JPEG, MPEG, and fractal compression. Sampling and reconstructing images. Point and geometric operations. Filtering. Stochastic approach to digital image processing. Image segmentation. Measuring objects. Pattern recognition based on classification. Processing and analysis of images of 3D scenes. Processing images varying in time

Compulsory literature:

E. Sojka, Digital Image Processing, lecture notes (in Czech), VŠB-TU Ostrava,2000 (ISBN 80-7078-746-5). R.C. Gonzales and R.E. Woods, Digital Image Processing, (2nd edition), Prentice Hall, 2002, (ISBN 0-201-18075-8).

Recommended literature:

K.R. Castleman: Digital Image Processing, Prentice Hall 1996 (ISBN 0-13-211467-4). O. Faugeras, Three-dimensional computer vision, MIT Press, 1994 (0-262-06158-9). R.M. Haralick, L.G. Shapiro, Computer and Robot Vision, Addison-Wesley, Reading, MA, 1992 (0-201-10877-1,-2,-3). W.K. Pratt, Digital image processing: PIKS inside (3rd edition), John Wiley and Sons, 2001 (ISBN 0-471-37407-5).

Way of continuous check of knowledge in the course of semester

E-learning

Other requirements

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Lectures: Mathematical preliminaries of digital image processing: The space of image signals. Linearity and shift invariance of operators. Dirac delta function and its properties. Convolution. Discrete convolution. Applications of convolution in digital image processing. Image transforms. The Fourier transform, discrete Fourier transform, cosine transform. Properties of Fourier transform. Fast Fourier transform. Modifying the frequency spectrum of images. Wavelet transforms. Applications in digital image processing. Compression of images: JPEG compression, MPEG compression of image sequences, Fractal compression. Sampling and reconstructing the images. Aliasing. Quantization. Geometrical transformations of images. Morphing and warping. Transformations of brightness. Filtering. Recursive and non-recursive filtering. Non-recursive filter design. Random fields and stochastic processes and their applications in digital image processing. Wiener filter. Morphological image processing. Methods of image segmentation. Thresholding. Optimal threshold selection. Image segmentaion based on region growing and splitting. Detecting edges in images. Gradient, and zero-crossing methods. Canny edge detector. Edge linking. Detecting feature points (corners). Measuring objects. Selection and computation of features for pattern recognition. Pattern recognition based on classification. Discriminant functions and etalons. Probablistic approach to determining the discriminant functions. Using neural networks for pattern recognition. Reconstructing a scene from its two or more images. Absolute and relative camera calibration and reconstruction. Analysis of time-varying images. Tracking objects in image sequences.

Conditions for subject completion

Part-time form (validity from: 1960/1961 Summer semester, validity until: 2012/2013 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Exercises evaluation and Examination Credit and Examination 100 (145) 51
        Examination Examination 100  0
        Exercises evaluation Credit 45  0
Mandatory attendence parzicipation:

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2009/2010 (P3646) Geodesy and Cartography (3602V002) Geoinformatics K Czech Ostrava Optional study plan
2008/2009 (P2646) Information Technology (1801V002) Computer Science and Applied Mathematics P Czech Ostrava Choice-compulsory study plan
2008/2009 (P2301) Mechanical Engineering (2301V013) Robotics P Czech Ostrava Choice-compulsory study plan
2008/2009 (P2301) Mechanical Engineering (2301V013) Robotics K Czech Ostrava Choice-compulsory study plan
2008/2009 (P2646) Information Technology K Czech Ostrava Choice-compulsory study plan
2008/2009 (P2646) Information Technology (1801V002) Computer Science and Applied Mathematics K Czech Ostrava Choice-compulsory study plan
2007/2008 (P2646) Information Technology (1801V002) Computer Science and Applied Mathematics P Czech Ostrava Choice-compulsory study plan
2007/2008 (P2301) Mechanical Engineering (2301V013) Robotics P Czech Ostrava Choice-compulsory study plan
2007/2008 (P2301) Mechanical Engineering (2301V013) Robotics K Czech Ostrava Choice-compulsory study plan
2006/2007 (P2646) Information Technology (1801V002) Computer Science and Applied Mathematics P Czech Ostrava Choice-compulsory study plan
2006/2007 (P2301) Mechanical Engineering (3902V010) Automation of Technological Processes K Czech Ostrava Choice-compulsory study plan
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2006/2007 (P2301) Mechanical Engineering (2301V001) Transport and Material Handling K Czech Ostrava Choice-compulsory study plan
2005/2006 (P2646) Information Technology (1801V002) Computer Science and Applied Mathematics P Czech Ostrava Choice-compulsory study plan
2004/2005 (P2646) Information Technology (1801V002) Computer Science and Applied Mathematics P Czech Ostrava Choice-compulsory study plan
2003/2004 (P2646) Information Technology (1801V002) Computer Science and Applied Mathematics P Czech Ostrava Choice-compulsory study plan
2002/2003 (P2612) Electrical Engineering and Computer Science (1801V002) Computer Science and Applied Mathematics P Czech Ostrava Choice-compulsory study plan
2001/2002 (P2612) Electrical Engineering and Computer Science (1801V002) Computer Science and Applied Mathematics P Czech Ostrava Choice-compulsory study plan

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