13D051OPD - Selected Applications of Digital Image Processing

Course specification
Course title Selected Applications of Digital Image Processing
Acronym 13D051OPD
Study programme Electrical Engineering and Computing
Module System Control and Signal Processing
Type of study doctoral studies
Lecturer (for classes)
    Lecturer/Associate (for practice)
      Lecturer/Associate (for OTC)
        ESPB 9.0 Status elective
        Condition no
        The goal studying of modern day methods of digital image processing. Using soft computing techniques for intensity transformations, filtering, and segmentation. Understanding of the compression requirements and realizations. Provide students with the ability to use already made software packages as well as to construct their own algorithms for image processing, extraction and specification of image
        The outcome Enabling students to use already made software packages and to generate their own algorithms for image enhancement, extraction of typical objects, object classification, defining the relationships between objects and relative to the scene.
        Contents of lectures Image representation. Linear operators and kernels, Edge detectors, Image restoration and feature extraction, Image segmentation via snakes, texture description, motion, and color, Shape description, Image matching, Pattern recognition in image, Multispectral image analysis, Satellite image processing, Security applications, Robot vision, Automatic target detection and tracking.
        Contents of exercises Applications of image processing: Document image analysis, Microscopic image analysis, Quality inspection in industry, Motion control, Automatic target tracking.
        1. S.T. Bow: "Pattern Recognition and Image Preprocessing", Marcel Dekker, 2002. (Original title)
        2. K. Kanatani: "Geometric Computation for Machine Vision", Clarendon Press, 1993. (Original title)
        3. W.E. Snyder, H.Qi: "Machine Vision", Cambridge University Press, 2004. (Original title)
        4. P.M.Mather: "Computer Processing of Remotely Sensed Images", Willey, 2009. (Original title)
        5. T.M.Lillesand, R.W.Kiefer, J.W.Chipman: "Remote Sensing and Image Interpretation", John Willey & Sons, 2008. (Original title)
        Number of hours per week during the semester/trimester/year
        Lectures Exercises OTC Study and Research Other classes
        Methods of teaching Lectures, exercises on computer, analysis of recommended literature, home-works and projects.
        Knowledge score (maximum points 100)
        Pre obligations Points Final exam Points
        Activites during lectures Test paper
        Practical lessons Oral examination 30
        Seminars 70