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MS1DOS - Digital Image Processing

Course specification
Course title Digital Image Processing
Acronym MS1DOS
Study programme Electrical Engineering and Computing
Module Signals and Systems
Type of study master academic studies
Lecturer (for classes)
    Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
    ESPB 6.0 Status elective
    Condition no
    The goal Introduce students to the fundamentals of digital image processing in time and frequency domains. Understanding of the image noise and methods of image enhancement, objects’ extraction and classification. 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 objects.
    The outcome Enabling students to use already made software packages and to generate their own algorithms for image enhancement, extraction of typical objects, and to define the relationships between them.
    Contents
    Contents of lectures Deterministic transforms of multi - level gray image. Histogram modifications. Image noise elimination by smoothing. Edge sharpening and detection. Morphological processing. Boundary detection and contour tracing. Generalized image segmentation. Extraction of objects from textured background. Object representation and coding.
    Contents of exercises Applications of image processing: Document image analysis, Microscopic image analysis, Quality inspection in industry, Motion control
    Literature
    1. R. C. Gonzalez, R. E. Woods: "Digital Image Processing",Second Edition, Prentice Hall, 2002. (Original title)
    2. R. C. Gonzalez, R. E. Woods, S. L. Eddins: "Digital Image Processing using MATLAB", Prentice Hall, 2004. (Original title)
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    3 1 1
    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 0 Test paper 20
    Practical lessons 20 Oral examination 20
    Projects 40
    Colloquia 0
    Seminars 0