Signal and image processing (2020/2021)



Course code
4S000019
Credits
6
Coordinator
Marco Cristani
Academic sector
INF/01 - INFORMATICS
Language of instruction
Italian
Teaching is organised as follows:
Activity Credits Period Academic staff Timetable
Teoria 4 I semestre Marco Cristani

Go to lesson schedule

Laboratorio [II turno] 2 I semestre Ilaria Boscolo Galazzo

Go to lesson schedule

Laboratorio [I turno] 2 I semestre Ilaria Boscolo Galazzo

Go to lesson schedule

Learning outcomes

The aim of this course is to provide the basic knowledge of methods and models for biomedical signal and image processing, developing the ability to analyze and solve problems of interest, mainly in the biomedical field. Each technique presented will be accompanied by applications on simulated and real signals.

At the end of the course, the student will be able to show knowledge of the main methods of biomedical signals and image processing. They will possess the ability to formulate, ana- lyze and solve problems of interest in bioengineering, through the acquired theoretical and practical basic knowledge. Finally, the student will be able to evaluate the traditional methods in the biomedical sciences in order to devise new approaches to methodological problems with clinical reversibility.

Syllabus

- Introduction to the signal and image processing
- Preliminary mathematics
- Signals and their taxonomy
- Fourier analysis, 1D and 2D
- Methods for improving image quality (image enhancement) in both the spatial and frequency domains
- Extraction of image contours
- Extraction of image regions
- Morphological operators
- Representation and processing of color images

Assessment methods and criteria

Written with evaluation of Lab sessions.