|Immagini teoria||4||II semestre||Alessandro Daducci|
|Immagini laboratorio||2||II semestre||Alessandro Daducci|
|Segnali teoria||4||I semestre||Gloria Menegaz|
|Segnali laboratorio||2||I semestre||Gloria Menegaz|
The purpose of the course is to introduce the main theoretical and practical tools that are necessary for signal and image processing, including both natural and medical images.
At the end of the course, the students will be able to apply the methodologies studied and employ image processing software tools for tackling some typical tasks in the analysis of medical and biomedical images.
- Introduction to signal and image processing
- Elements of continuous time and discrete time systems
- Fourier transform (Fourier series, continuous and discrete time Fourier transforms (DFT, FFT)) in one dimension
- Nyquist theorem
- Digital filtering (low-pass, high-pass, linear, non-linear)
- Fourier transform (Fourier series, continuous and discrete time Fourier transforms (DFT, FFT)) in two dimensions
- Image enhancement in spatial and frequency domains
- Image segmentation (edge-based, region-based)
The lab. exam consists in an exercise to be implemented in Matlab. This does not contribute to the final score. The theory exam is in written form.
Both the exams must be passed during the same examination session.
|Segnali teoria||W.K. Pratt||Digital Image Processing (Edizione 4)||Wiley Interscience||2007||978-0-471-76777-0|
|Segnali teoria||Rafael C. Gonzalez and Richard E. Woods||Digital Image Processing (Edizione 4)||Prentice Hall College Div||2017||0133356728|
|Segnali teoria||B.P. Lathi||Signal Processing and Linear Systems||Berkeley-Cambridge||1998||0-941413-35-7|