Signal and image processing for bioinformatics (2018/2019)



Course code
4S003710
Credits
12
Coordinator
Gloria Menegaz
Academic sector
INF/01 - INFORMATICS
Language of instruction
Italian
Teaching is organised as follows:
Activity Credits Period Academic staff Timetable
Immagini teoria 4 II semestre Alessandro Daducci

Go to lesson schedule

Immagini laboratorio 2 II semestre Alessandro Daducci

Go to lesson schedule

Segnali teoria 4 I semestre Gloria Menegaz

Go to lesson schedule

Segnali laboratorio 2 I semestre Gloria Menegaz

Go to lesson schedule

Learning outcomes

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.

Syllabus

PART1: SIGNALS
- 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
- Quantization
- 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)
- Applications

Assessment methods and criteria

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.

Reference books
Activity Author Title Publisher Year ISBN Note
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

Student opinions - 2017/2018