Studying at the University of Verona
Academic calendar
Il calendario accademico riporta le scadenze, gli adempimenti e i periodi rilevanti per la componente studentesca, personale docente e personale dell'Università. Sono inoltre indicate le festività e le chiusure ufficiali dell'Ateneo.
L’anno accademico inizia il 1° ottobre e termina il 30 settembre dell'anno successivo.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates. For further information, please get in touch with Operational unit: Science and Engineering Teaching and Student Services Unit
| Period | From | To |
|---|---|---|
| I sem. | Oct 3, 2016 | Jan 31, 2017 |
| II sem. | Mar 1, 2017 | Jun 9, 2017 |
| Session | From | To |
|---|---|---|
| Sessione invernale Appelli d'esame | Feb 1, 2017 | Feb 28, 2017 |
| Sessione estiva Appelli d'esame | Jun 12, 2017 | Jul 31, 2017 |
| Sessione autunnale Appelli d'esame | Sep 1, 2017 | Sep 29, 2017 |
| Session | From | To |
|---|---|---|
| Sessione estiva Appelli di Laurea | Jul 18, 2017 | Jul 18, 2017 |
| Sessione autunnale Appelli di laurea | Nov 22, 2017 | Nov 22, 2017 |
| Sessione invernale Appelli di laurea | Mar 20, 2018 | Mar 20, 2018 |
| Period | From | To |
|---|---|---|
| Festa di Ognissanti | Nov 1, 2016 | Nov 1, 2016 |
| Festa dell'Immacolata Concezione | Dec 8, 2016 | Dec 8, 2016 |
| Vacanze di Natale | Dec 23, 2016 | Jan 8, 2017 |
| Vacanze di Pasqua | Apr 14, 2017 | Apr 18, 2017 |
| Anniversario della Liberazione | Apr 25, 2017 | Apr 25, 2017 |
| Festa del Lavoro | May 1, 2017 | May 1, 2017 |
| Festa della Repubblica | Jun 2, 2017 | Jun 2, 2017 |
| Vacanze estive | Aug 8, 2017 | Aug 20, 2017 |
Exam calendar
The exam roll calls are centrally administered by the operational unit
Science and Engineering Teaching and Student Services Unit
Exam Session Calendar and Roll call enrolment sistema ESSE3
.If you forget your password to the online services, please contact the technical office in your Faculty.
Per dubbi o domande Read the answers to the more serious and frequent questions - F.A.Q. Examination enrolment
Academic staff
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.
| Teachings | Credits | TAF | SSD |
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| Teachings | Credits | TAF | SSD |
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| Teachings | Credits | TAF | SSD |
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1° Anno
| Teachings | Credits | TAF | SSD |
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2° Anno
| Teachings | Credits | TAF | SSD |
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3° Anno
| Teachings | Credits | TAF | SSD |
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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.
Image processing for bioinformatics (2016/2017)
Teaching code
4S02713
Teacher
Coordinatore
Credits
6
Also offered in courses
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Language of instruction
Italian
Period
II sem. dal Mar 1, 2017 al Jun 9, 2017.
Learning outcomes
The course is meant to the acquisition of the main theoretical and practical tools that are necessary for image processing, including both natural and medical images. It is recommended to be familiar with the main concepts that are introduced in the Signal part, in particular Fourier (time/frequency) analysis, linear time-invariant systems and digital filtering. The whole pipeline from image acquisition to image rendering will be considered, and the main theorical 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)
- Image enhancement (in both spatial and frequency domain)
- Image filtering (low-pass, high pass, linear and non linear)
- 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
Bibliografia
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| W.K. Pratt | Digital Image Processing (Edizione 4) | Wiley Interscience | 2007 | 978-0-471-76777-0 | |
| Rafael C. Gonzalez and Richard E. Woods | Digital Image Processing (Edizione 4) | Prentice Hall College Div | 2017 | 0133356728 |
Examination Methods
Oral exam in 4 sessions. The exams are scheduled as follows: 1 exam in the Extraordinary Session at the end of the course, 1 exam in the Summer Session and 1 exams in the Fall Session. Each exam is split into two parts for the theory and laboratory parts, respectively, which can be passed separately and the whole evaluation is obtained as the mathematical average of the two evaluations. The exam is passed if each evaluation is greater or equal to 18/30. Each evaluation remains valid for the whole current academic year.
The aim of the written exam consists in verifying the comprehension of course contents and the capability to apply these contents for generalizing case studies presented during the course and for facing new issues. This comprehension may be verified also by asking theorems and proofs.
The aim of the laboratory exam is to verify the acquisition of the tools and methods and to assess the ability to apply such knowledge to the solution of new problems. The exam will consist in the discussion of the exercises proposed during the course and of a mini-project at the end of the course.
Teaching materials
-
ES - Fourier-Transform
(pdf, it, 246 KB, 19/04/17)
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Es-Lab-1-5
(zip, it, 4167 KB, 20/04/17)
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L10 - Image interpolation
(pdf, it, 4292 KB, 14/05/17)
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L10 - Image interpolation part 2
(pdf, it, 7165 KB, 14/05/17)
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L13 - Pattern recognition
(pdf, it, 9632 KB, 14/05/17)
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L1 - Introduction
(pdf, it, 27056 KB, 19/03/17)
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L2 - Fourier Transform
(pdf, it, 5937 KB, 19/03/17)
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L2 - Fourier Transform complements
(pdf, it, 456 KB, 19/03/17)
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L2 - Fourier Transform summary
(pdf, it, 83 KB, 19/03/17)
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L3 - Fourier Transform in 2D
(pdf, it, 3022 KB, 19/03/17)
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L4 - Color imaging-part2-colorimetry
(pdf, it, 6695 KB, 09/04/17)
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L4 - Image acquisition and color imaging-part1
(pdf, it, 5360 KB, 09/04/17)
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L5 - Spatial enhancement - part 1
(pdf, it, 5214 KB, 19/04/17)
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L5 - Spatial enhancement - part 2
(pdf, it, 4016 KB, 19/04/17)
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L6 - Image enhancement in Fourier domain
(pdf, it, 6516 KB, 20/04/17)
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L7 - Morphological operators
(pdf, it, 6064 KB, 25/04/17)
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L8 - Edge detection
(pdf, it, 5352 KB, 25/04/17)
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L9b - Motion
(pdf, it, 3245 KB, 08/05/17)
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L9 - Region-based segmentation
(pdf, it, 26062 KB, 08/05/17)
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L-SP-for-BCI-part1
(pdf, it, 23600 KB, 09/04/17)
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L-SP-for-BCI-part2
(pdf, it, 15880 KB, 09/04/17)
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L-SP-for-BCI-part3
(pdf, it, 19462 KB, 09/04/17)
Tipologia di Attività formativa D e F
Course not yet included
Career prospects
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Graduation
List of theses and work experience proposals
| Stage | Research area |
|---|---|
| Correlated mutations | Various topics |
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.