Medical Image Processing


Available soon

General characterization





Responsible teacher

Ricardo Nuno Pereira Verga e Afonso Vigário


Weekly - 4

Total - Available soon

Teaching language



Available soon


  • Biomedical Image Analysis; Ragaraj M. Rangayyan; CRC Press, 2005

  • Digital Imaging Processing; Rafael C. Gonzalez and Richard E. Woods; Prentice-Hall, 2002

  • Digital Imaging Processing using Matlab; Rafael C. Gonzalez, Richard E. Woods and Steven L. Eddins;

    Prentice-Hall – New Jersey, 2004

  • Digital Signal Processing for Medical Imaging using Matlab;

  • Medical Image Analysis; Atam P. Dhawan; John Wiley & Sons, 2011

Teaching method

Available soon

Evaluation method

Available soon

Subject matter

  1. The nature of biomedical images 

    1.1. data structure

    1.2. examples of the most common types of medical images and theur characteristics

  2. Image quality and information content

    2.1. characterization image quality

    2.2. spatial and intensity digitization

    2.3. optical density, dynamic range, contrast and resolution 

    2.4. histograms and entropy

    2.5. Fourier transform and spectral content

  3. Identification and removal of artefacts

  4. Image enhancement, through techniques based on

    4.1. averaging

    4.2. gray-scale transformations (Gamma, histograms...) 

    4.3. convolution and spatial filters

  5. Detection of regions of interest

  6. Image reconstruction from projections

  7. Image coding and data compression

  8. Pattern classification and diagnostic decision