Topics of the lectures 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 chip 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 Laboratories and seminars 1. Matlab and image processing toolbox - introduction 2. Operation with BMP object, image histogram 3. Color spaces, geometric transformations 4. Image histogram equalization, 2D image spectrum 5. Filters for image smoothing 6. Edge detectors 7. Applications of image segmentation 8. Algorithms of binary mathematical morphology 9. Algorithms of gray-scale mathematical morphology 10. Using of top-hat transformation 11. Image recognition with chain codes 12. Application of region identification algorithm 13. Selection of image features for image recognition 14. Image recognition project
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Gonzales, R., C., Woods, R., E. Digital Image Processing, In: Pearson Education. USA, 2008. ISBN 978-0-13-168728-8.
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Šonka M., Hlaváč V., Boyle R. Image Processing, Analysis, and Machine Vision. PWS Publishing, 1998. ISBN 0-534-953-93.
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