Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Academic calendar
The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
| Period | From | To |
|---|---|---|
| I sem. | Oct 2, 2017 | Jan 31, 2018 |
| II sem. | Mar 1, 2018 | Jun 15, 2018 |
| Session | From | To |
|---|---|---|
| Sessione invernale d'esame | Feb 1, 2018 | Feb 28, 2018 |
| Sessione estiva d'esame | Jun 18, 2018 | Jul 31, 2018 |
| Sessione autunnale d'esame | Sep 3, 2018 | Sep 28, 2018 |
| Session | From | To |
|---|---|---|
| Sessione di laurea estiva | Jul 18, 2018 | Jul 18, 2018 |
| Sessione di laurea autunnale | Nov 22, 2018 | Nov 22, 2018 |
| Sessione di laurea invernale | Mar 20, 2019 | Mar 20, 2019 |
| Period | From | To |
|---|---|---|
| Christmas break | Dec 22, 2017 | Jan 7, 2018 |
| Easter break | Mar 30, 2018 | Apr 3, 2018 |
| Patron Saint Day | May 21, 2018 | May 21, 2018 |
| Vacanze estive | Aug 6, 2018 | Aug 19, 2018 |
Exam calendar
Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.
Should you have any doubts or questions, please check the Enrolment FAQs
Academic staff
Bloisi Domenico Daniele
domenico.bloisi@univr.it
Study Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University. Please select your Study Plan based on your enrolment year.
| Modules | Credits | TAF | SSD |
|---|
Mathematical analysis 1
Computer Architecture
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
1° Year
| Modules | Credits | TAF | SSD |
|---|
Mathematical analysis 1
Computer Architecture
2° Year
| Modules | Credits | TAF | SSD |
|---|
3° Year
| Modules | Credits | TAF | SSD |
|---|
Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Signal and image processing (2017/2018)
Teaching code
4S000019
Teacher
Coordinatore
Credits
6
Also offered in courses
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Language
Italian
Period
I sem. dal Oct 2, 2017 al Jan 31, 2018.
Learning outcomes
The course is meant to the acquisition of the main theoretical and practical tools that are necessary for signal and image processing. In particular the course focuses on Fourier (time/frequency) analysis, linear time-invariant systems and digital filtering. The whole pipeline from signal and image acquisition will be considered, and the main theorethical 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)
- Fourier Transform (Fourier series, continuous FT, discrete time FT, discrete FT, FFT, DCT)
- Signal and Image filtering (low-pass, high pass, linear and non linear)
- Image enhancement (in both spatial and frequency domain)
- 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 or written with evaluation of Lab sessions.
Teaching materials
-
L10 - Image enhancement in spatial domain (part1)
(pdf, it, 3969 KB, 17/11/17)
-
L11 - Image enhancement in spatial domain (part2)
(pdf, it, 5096 KB, 17/11/17)
-
L12 - Edge detection
(pdf, it, 5352 KB, 03/12/17)
-
L13 - Region-based processing
(pdf, it, 26002 KB, 15/12/17)
-
L14 - Pattern recognition
(pdf, it, 4901 KB, 10/01/18)
-
L15 - Color
(pdf, it, 5344 KB, 10/01/18)
-
L5
(pdf, it, 18601 KB, 09/11/17)
-
L6
(pdf, it, 6018 KB, 08/11/17)
-
L7A
(pdf, it, 15385 KB, 08/11/17)
-
L7B
(pdf, it, 19532 KB, 08/11/17)
-
L8 - Spatial enhancement in Fourier domain
(pdf, it, 6853 KB, 14/11/17)
-
L9 - Digital image fundamentals
(pdf, it, 2707 KB, 17/11/17)
-
Lab 1 - esercizio
(pdf, it, 12 KB, 30/10/17)
-
Lab 1 - Introduction to Matlab
(pdf, it, 16837 KB, 30/10/17)
-
Lab 2
(pdf, it, 8418 KB, 06/11/17)
-
Lab 3
(zip, it, 6819 KB, 13/11/17)
-
Lab 4
(zip, it, 2179 KB, 04/12/17)
-
Lab 5
(zip, it, 1495 KB, 11/12/17)
-
Lab 5 - otsu
(octet-stream, it, 5 KB, 11/12/17)
-
Lab 6
(zip, it, 579 KB, 18/12/17)
-
Lab 8
(zip, it, 3422 KB, 15/01/18)
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Lesson 1 - Introduction to signals and systems
(pdf, it, 1980 KB, 18/10/17)
-
Lesson 2 - Time domain analysis of continuous-time systems
(pdf, it, 21719 KB, 30/10/17)
-
Lesson 3 - Signal representation by Fourier Series
(pdf, it, 21484 KB, 30/10/17)
-
Lesson 4 - Continuous time signal analysis: the Fourier transform
(pdf, it, 23786 KB, 01/11/17)
-
Soluzioni esercizi 1-3
(zip, it, 2 KB, 20/11/17)
Type D and Type F activities
Modules not yet included
Career prospects
Module/Programme news
News for students
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details.
Attendance
As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance at the course of study is not mandatory.Please refer to the Crisis Unit's latest updates for the mode of teaching.
Area riservata studenti
Graduation
List of theses and work experience proposals
| theses proposals | Research area |
|---|---|
| Analisi e percezione dei segnali biometrici per l'interazione con robot | AI, Robotics & Automatic Control - AI, Robotics & Automatic Control |
| Integrazione del simulatore del robot Nao con Oculus Rift | AI, Robotics & Automatic Control - AI, Robotics & Automatic Control |
| Domain Adaptation | Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Computer graphics, computer vision, multi media, computer games |
| Domain Adaptation | Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video) |
| BS or MS theses in automated reasoning | Computing Methodologies - ARTIFICIAL INTELLIGENCE |
| Domain Adaptation | Computing Methodologies - IMAGE PROCESSING AND COMPUTER VISION |
| Domain Adaptation | Computing methodologies - Machine learning |
| Dati geografici | Information Systems - INFORMATION SYSTEMS APPLICATIONS |
| Analisi e percezione dei segnali biometrici per l'interazione con robot | Robotics - Robotics |
| Integrazione del simulatore del robot Nao con Oculus Rift | Robotics - Robotics |
| BS or MS theses in automated reasoning | Theory of computation - Logic |
| BS or MS theses in automated reasoning | Theory of computation - Semantics and reasoning |
| Proposte di tesi/collaborazione/stage in Intelligenza Artificiale Applicata | Various topics |
| Proposte di Tesi/Stage/Progetto nell'ambito delle basi di dati/sistemi informativi | Various topics |
Gestione carriere
Further services
I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.