Code: F7ABBZOD Image Data Processing
Lecturer: doc. Ing. Zoltán Szabó Ph.D. Weekly load: 1P+1C Completion: GA
Department: 17112 Credits: 2 Semester: W
Description:
Continuous image representation, linear 2D systems, 2D spectrum, Digital representation of images, Basic image characteristics: brightness, contrast, resolution, noise, look up tables, histogram, Discrete Fourier transform, discrete cosine transform, image enhancement, geometric operations, image filtering, morphological operations, image restoration, image segmentation, basic principles of image compression.
Contents:
1.Overview of available resources of image data, image sensing process, cameras
2.Basic scheme of image scanning, digitalization and processing. Different image sensing elements.
3.Image digitalization, quantization, types and features, demonstration on HW for digitalization and microscope.
4.Image as two dimensional matrix of data, 3D contours, basic operations on pixels, pixel connectivity.
5.Arithmetic and logic operations on the image, Look up tables (LUS), histogram, histogram equalization.
6.2D Fourier transformation, 2D convolution, image filtering.
7.Image segmentation, geometrical transformation, basic principles of image compression.
Seminar contents:
1.Specifications of Image processing in Matlab, Image processing toolbox, basic image procession operations.
2.Computation of basic image parameters (min. and max brightness, size, SNR, etc.)
3.Arithmetic and logic operations on the image, Look up tables (LUT), histogram, histogram equalization.
4.Histogram and operation on the histogram
5.2D Fourier transformation, 2D convolution (different types of masks), image filtering.
6.Image segmentation, geometrical transformation.
7.Image compression.
Recommended literature:
[1]Gonzales, R.C.: Digital Image Processing using MATLAB, USA, Prentice Hall, 2004.
Keywords:
image processing, filtering, segmentation, transformation, image compression

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