Learning outcomes

The course is meant to the acquisition of the main theoretical and practical tools that are necessary for image processing, including both natural and medical images. It is recommended to be familiar with the main concepts that are introduced in the Signal part, in particular Fourier (time/frequency) analysis, linear time-invariant systems and digital filtering. The whole pipeline from image acquisition to image rendering will be considered, and the main theorical and practical aspects will be treated.
Laboratory sessions will be organized in order to "put in practice" what is treated in the course covering the entire pipeline in order to provide the student a complete view on the pipeline as well as good desing and implementation capabilities.

Program

- Introduction to image processing
- Fourier Transform (continuous time, Fourier series, discrete time, discrete Fourier transform (DFT), FFT) in one dimension
- Fourier Transform (continuous time, Fourier series, discrete time, discrete Fourier transform (DFT), FFT) in two dimensions
- The acquisition pipeline (sampling, quantization)
- Image enhancement (in both spatial and frequency domain)
- Image filtering (low-pass, high pass, linear and non linear)
- Edge detection (in spatial and frequency domain)
- Region-based processing (in spatial and frequency domain)
- Morphological operators
- Color imaging
- Image segmentation (edge-based, region-based)
- Elements of pattern recognition

Examination Methods

Oral exam in 4 sessions. The exams are scheduled as follows: 1 exam in the Extraordinary Session at the end of the course, 1 exam in the Summer Session and 1 exams in the Fall Session. Each exam is split into two parts for the theory and laboratory parts, respectively, which can be passed separately and the whole evaluation is obtained as the mathematical average of the two evaluations. The exam is passed if each evaluation is greater or equal to 18/30. Each evaluation remains valid for the whole current academic year.

The aim of the written exam consists in verifying the comprehension of course contents and the capability to apply these contents for generalizing case studies presented during the course and for facing new issues. This comprehension may be verified also by asking theorems and proofs.
The aim of the laboratory exam is to verify the acquisition of the tools and methods and to assess the ability to apply such knowledge to the solution of new problems. The exam will consist in the discussion of the exercises proposed during the course and of a mini-project at the end of the course.

Teaching materials e documents

•   ES - Fourier-Transform   (pdf, it, 246 KB, 19/04/17)
•   Es-Lab-1-5   (zip, it, 4167 KB, 20/04/17)
•   L10 - Image interpolation   (pdf, it, 4292 KB, 14/05/17)
•   L10 - Image interpolation part 2   (pdf, it, 7165 KB, 14/05/17)
•   L13 - Pattern recognition   (pdf, it, 9632 KB, 14/05/17)
•   L1 - Introduction   (pdf, it, 27056 KB, 19/03/17)
•   L2 - Fourier Transform   (pdf, it, 5937 KB, 19/03/17)
•   L2 - Fourier Transform complements   (pdf, it, 456 KB, 19/03/17)
•   L2 - Fourier Transform summary   (pdf, it, 83 KB, 19/03/17)
•   L3 - Fourier Transform in 2D   (pdf, it, 3022 KB, 19/03/17)
•   L4 - Color imaging-part2-colorimetry   (pdf, it, 6695 KB, 09/04/17)
•   L4 - Image acquisition and color imaging-part1   (pdf, it, 5360 KB, 09/04/17)
•   L5 - Spatial enhancement - part 1   (pdf, it, 5214 KB, 19/04/17)
•   L5 - Spatial enhancement - part 2   (pdf, it, 4016 KB, 19/04/17)
•   L6 - Image enhancement in Fourier domain   (pdf, it, 6516 KB, 20/04/17)
•   L7 - Morphological operators   (pdf, it, 6064 KB, 25/04/17)
•   L8 - Edge detection   (pdf, it, 5352 KB, 25/04/17)
•   L9b - Motion   (pdf, it, 3245 KB, 08/05/17)
•   L9 - Region-based segmentation   (pdf, it, 26062 KB, 08/05/17)
•   L-SP-for-BCI-part1   (pdf, it, 23600 KB, 09/04/17)
•   L-SP-for-BCI-part2   (pdf, it, 15880 KB, 09/04/17)
•   L-SP-for-BCI-part3   (pdf, it, 19462 KB, 09/04/17)