456-0902/01 – Digital Image Processing and Analysis (DZAO)
Gurantor department | Department of Computer Science | Credits | 0 |
Subject guarantor | doc. Dr. Ing. Eduard Sojka | Subject version guarantor | doc. Dr. Ing. Eduard Sojka |
Study level | postgraduate | Requirement | Choice-compulsory |
Year | | Semester | winter + summer |
| | Study language | Czech |
Year of introduction | 1997/1998 | Year of cancellation | 2010/2011 |
Intended for the faculties | FEI | Intended for study types | Doctoral |
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:
Recommended literature:
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
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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