Advanced Medical Image Processing (ILV)

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Specialization AreaMedical Engineering and Image Processing
Course numberM2.03102.20.561
Course codeAMIP
Curriculum2013
Semester of degree program Semester 2
Mode of delivery Presencecourse
SPPW3,0
ECTS credits5,0
Language of instruction English

Students know about advanced image processing techniques

Basic as well as advanced, modern algorithms for automated image enhancement, processing, and analysis of medical image data. Linear and nonlinear approaches to extract significant image information and property description. Introduction to the field of pattern recognition.

Course Contents;

    • Object Representation and Description
    • Segmentation I: Generalized Hough Transform, Watershed Transform
    • Color Spaces
    • Camera Models and Stereo Reconstruction
    • Stochastics and Stochastic Processes
    • Wiener Filtering, Diffusion Filtering
    • Fundamentals of Bayesian Decision Theory, MAP Classification
    • Image Registration
    • Image Pyramids

Bishop, C. M., Pattern Recognition and Machine Learning, Springer, 2006

Burger, W. & Burge, M. J. Digital Image Processing, Springer, 2008

Gonzalez, R. C. & Woods, R. E. Digital Image Processing, Prentice Hall, 2008

Jähne, B. Digital Image Processing, Springer, 2005

Sonka, M.; Hlavac, V. & Boyle, R. Image Processing, Analysis, and Machine Vision Thomson Learning, 2008

van der Heijden, F.; Duin, R.; deRidder, D. & Tax, D. Classification, Parameter Estimation and State Estimation, Wiley, 2004