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 course aims at providing the theoretical and methodological knowledge that is needed for the comprehension and solution of problems concerning signals and images.

At the end of the course the student will be able to understand signal and image processing issues, to choose the most appropriate approach to solve it and to implement the corresponding algorithm.

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

Lab. exam followed by theory exam in oral form.

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