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Lecturer(s)
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Bartl Eduard, doc. RNDr. Ph.D.
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Trnečková Markéta, Mgr. Ph.D.
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Course content
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1. Image reconstruction - noise models: Gaussian noise, uniform noise - estimation of noise parameters - spacial domain filtering - frequency domain filtering - estimation the degradation function - Inverse filtering - Wiener filering - constrained least squares filtering 2. Wavelet transform - preliminaries: image pyramids, subband coding, Haar transform - discrete Wavelet transform - continuous Wavelet transform - fast Wavelet transform - Wavelet compression (JPEG 2000) 3. Mathematical morphology - dilation and erosion operators - closing and opening operators - applications: boundary extraction, convex hull, skeleton, ... - extension to grayscale images, fuzzy morfologie 4. Segmentation - point, line and edge detection - edge linking - tresholding - region-based segmentation 5. Image representation and description - representation: chain codes, polygonal approximations, signatures, ... - boundary descriptors: shape numbers, Fourier descriptors, statistical moments, ... - regional descriptors: topological descriptors, moments of two-dimensional functions, ... - use of principal components
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Learning activities and teaching methods
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Lecture, Demonstration
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Learning outcomes
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The students become familiar with basic concepts of image analysis and processing.
2. Comprehension Recognize principles of image analysis reconstruction and recognition.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Oral exam, Written exam
Active participation in class. Completion of assigned homeworks. Passing the oral (or written) exam.
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Recommended literature
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Gonzales, R. C., Woods, R. E. (2002). Digital Image Processing. Prentice Hall.
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Gonzales, R. C., Woods, R. E. (2004). Digital Image Processing Using Matlab. Prentice Hall.
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John F. Hughes, Andries van Dam, Morgan McGuire, David F. Sklar, James D. Foley, Steven K. Feiner, Kurt Akeley. Computer Graphics: Principles and Practice (3rd Edition).
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Pratt, K. W. (2001). Digital image processing: PIKS inside. New York, Chichester, Weinhe, John Wiley and Sons.
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Sojka, E. (2000). Digitální zpracování a analýza obrazů. VŠB-TU Ostrava.
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Sonka M., Hlavac, V., Boyle R. (2008). Image Processing, Analysis and Machine Vision. Toronto.
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