460-6001/02 – Digital Image Processing (DZO)

Gurantor departmentDepartment of Computer ScienceCredits10
Subject guarantordoc. Dr. Ing. Eduard SojkaSubject version guarantordoc. Dr. Ing. Eduard Sojka
Study levelpostgraduateRequirementChoice-compulsory
YearSemesterwinter + summer
Study languageEnglish
Year of introduction2015/2016Year of cancellation
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 Examination 28+0
Combined Examination 28+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

Lectures
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:

R.C. Gonzales and R.E. Woods, Digital Image Processing, (3rd edition), Prentice Hall, 2008, (ISBN 0-13-505267-X). E.Sojka, Digitální zpracování a analýza obrazů, VŠB-TU Ostrava, 2000 (ISBN 80-7078-746-5).

Recommended literature:

Al Bovik, Handbook of Image and Video processing 2nd Edition, Elsevier Academic Press, 2005, (ISBN 0121197921, 978-0121197926). W.K. Pratt, Digital image processing: PIKS inside (3rd edition), John Wiley and Sons, 2001 (ISBN 0-471-37407-5). K.R. Castleman: Digital Image Processing, Prentice Hall 1996 (ISBN 0-13-211467-4).

Way of continuous check of knowledge in the course of semester

Ke zkoušce posluchač zpracuje projekt na dohodnuté téma. Projekt bude popsán v textu, jehož rozsah se předpokládá přibližně 10 stran A4.

E-learning

Další požadavky na studenta

There are not defined other requirements for student.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Syllabus of 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

Full-time form (validity from: 2015/2016 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

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Occurrence in study plans

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2018/2019 (P1807) Computer Science, Communication Technology and Applied Mathematics (1103V036) Computational and Applied Mathematics P English Ostrava Choice-compulsory study plan
2018/2019 (P1807) Computer Science, Communication Technology and Applied Mathematics (1801V001) Informatics P English Ostrava Choice-compulsory study plan
2018/2019 (P1807) Computer Science, Communication Technology and Applied Mathematics (1103V036) Computational and Applied Mathematics K English Ostrava Choice-compulsory study plan
2018/2019 (P1807) Computer Science, Communication Technology and Applied Mathematics (1801V001) Informatics K English Ostrava Choice-compulsory study plan
2017/2018 (P1807) Computer Science, Communication Technology and Applied Mathematics (1103V036) Computational and Applied Mathematics P English Ostrava Choice-compulsory study plan
2017/2018 (P1807) Computer Science, Communication Technology and Applied Mathematics (1801V001) Informatics P English Ostrava Choice-compulsory study plan
2017/2018 (P1807) Computer Science, Communication Technology and Applied Mathematics (1103V036) Computational and Applied Mathematics K English Ostrava Choice-compulsory study plan
2017/2018 (P1807) Computer Science, Communication Technology and Applied Mathematics (1801V001) Informatics K English Ostrava Choice-compulsory study plan
2016/2017 (P1807) Computer Science, Communication Technology and Applied Mathematics (1103V036) Computational and Applied Mathematics P English Ostrava Choice-compulsory study plan
2016/2017 (P1807) Computer Science, Communication Technology and Applied Mathematics (1801V001) Informatics P English Ostrava Choice-compulsory study plan
2016/2017 (P1807) Computer Science, Communication Technology and Applied Mathematics (1103V036) Computational and Applied Mathematics K English Ostrava Choice-compulsory study plan
2016/2017 (P1807) Computer Science, Communication Technology and Applied Mathematics (1801V001) Informatics K English Ostrava Choice-compulsory study plan
2015/2016 (P1807) Computer Science, Communication Technology and Applied Mathematics (1103V036) Computational and Applied Mathematics P English Ostrava Choice-compulsory study plan
2015/2016 (P1807) Computer Science, Communication Technology and Applied Mathematics (1103V036) Computational and Applied Mathematics K English Ostrava Choice-compulsory study plan
2015/2016 (P1807) Computer Science, Communication Technology and Applied Mathematics (1801V001) Informatics P English Ostrava Choice-compulsory study plan
2015/2016 (P1807) Computer Science, Communication Technology and Applied Mathematics (1801V001) Informatics K English Ostrava Choice-compulsory study plan

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