Předmět Image Processing (MTI / IMP)
Na serveru studentino.cz naleznete nejrůznější studijní materiály: zápisky z přednášek nebo cvičení, vzorové testy, seminární práce, domácí úkoly a další z předmětu MTI / IMP - Image Processing, Fakulta mechatroniky a MIS, Technická univerzita v Liberci (TUL).
Top 10 materiálů tohoto předmětu
Materiály tohoto předmětu
Materiál | Typ | Datum | Počet stažení |
---|
Další informace
Obsah
Lectures- image acquisition and representation- preprocessing methods: transformations of pixel brightness and geometry, camera calibration, local operators- video and audio compression- image segmentation: thresholding, edge-based and region-based segmentation, Hough-transform, template- matching, motion segmentation, optical flow- feature extraction: color, texture and shape descriptors- classification: Nearst Neighbour, K-Nearst Neighbour, Support-Vector-Machine (SVM), statistical classifiers, decision trees- machine learning: supervised and non-supervised learning methods: Support-Vector-Machine (SVM), neural networks (Perceptron, MLP), Principal Component Analysis (PCA), Hidden Markov Models, Clustering, SOMs- multi sensor fusion: stereo, time-of-flight, 3D scene reconstruction- overview of current practical application areas: visual quality inspection, robotics, medical diagnostics, video conference systems, biometry, securityLaboratory practicesThe topics covered in lectures are practised in computer laboratory using Microsoft Visual Studio 2008 and OpenCV Computer-Vision-Library.
Získané způsobilosti
Graduates from this course will obtain good knowledge of the field of image processing
Literatura
David A. Forsyth and Jean Ponce. Computer Vision, A Modern Approach. Prentice Hall, 2003. ISBN 0-12-379777-2.Bernd Jähne and Horst Haußecker. Computer Vision and Applications, A Guide for Students and Practitioners. Academic Press, 2000. ISBN 0-13-085198-1.Bernd Jähne. Digital Image Processing. Springer, 2002. ISBN 3540677542.Gary Bradski and Adrian Kaehler. Learning OpenCV - Computer Vision with the OpenCV Library. O Reilly Media Inc., 2008. ISBN 978-0-596-51613-0.E. R. Davies. Machine Vision : Theory, Algorithms, Practicalities. Morgan Kaufmann, 2005. ISBN 0-12-206093-8.
Požadavky
Requirements for getting a credit are activity at the practicals /seminars. Examination is of the writing and oral forms.
Garant
prof. RNDr. Stefan Bischoff
Vyučující
prof. RNDr. Stefan Bischoffprof. RNDr. Stefan Bischoff