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Lecturer(s)
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Chaloupka Josef, doc. Ing. Ph.D.
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Course content
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1. Digital image processing, computer graphic versus machine vision, image digitization, digital image properties, color and gray-scale image 2. Introduction to radiometry, 2D image, digital cameras, optic, CCD and CMOS chips 3. Color spaces, geometric transformation, pixel co-ordinate transformation, brightness interpolation 4. Pixel brightness transformations, linear discrete image transforms, 2D FFT and DCT, Hadamard transform, Wavelets 5. Image smoothing, edge detectors I. 6. Edge detectors II., image restoration 7. Segmentation, thresholding, edge-based and region-based segmentation, matching 8. Binary mathematical morphology 9. Gray-scale mathematical morphology 10. Skeletons and object marking, granulometry, morphological segmentation and watersheds 11. Region identification 12. Utilization of 2D convolution and correlation, region detection 13. Features for image recognition 14. Image objects recognition
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Learning activities and teaching methods
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Monological explanation (lecture, presentation,briefing)
- Class attendance
- 56 hours per semester
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Learning outcomes
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The main aim of this course is to introduce students to principle of multimedia technology (audio, video, image). The main content of this subject is data reading, data stacking, coding, decoding and compression of multimedia data.
Theoretic piece of knowledge and practical skills from requered areas
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Prerequisites
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Unspecified
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Assessment methods and criteria
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Combined examination
Requirements for getting a credit are activity at the seminars. Examination is of the written forms.
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Recommended literature
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Hlaváč, V., Sedláček, M. Zpracování signálu a obrazu. Praha, 1999.
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Chaloupka, J. Přednášky, cvičení - MT. Liberec, TUL.
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Myslín, J. Digitální video v praxi. 2005.
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Navrátil, P. Počítačová grafika a multimédia. 2006. ISBN 80-86686-77-9.
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