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.
Study Plan
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea in Informatica - Enrollment from 2025/2026The 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 enrollment year.
1° Year
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2° Year activated in the A.Y. 2012/2013
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3° Year activated in the A.Y. 2013/2014
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Un insegnamento a scelta tra i seguenti:
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Un insegnamento a scelta tra i seguenti:
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 - IMMAGINI (2013/2014)
Teaching code
4S000019
Teacher
Credits
6
Also offered in courses:
- Image processing for bioinformatics of the course Bachelor's degree in Bioinformatics
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Period
II semestre dal Mar 3, 2014 al Jun 13, 2014.
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
- The acquisition pipeline (sampling, quantization)
- Image enhancement (in both spatial and frequency domain)
- Morphological image processing
- Color imaging
- Image segmentation (edge-based, region-based)
- Elements of pattern recognition
Examination Methods
Theory: written or oral exam (depending on the number of students)
Lab.:
- evaluation of the lab. sessions during the course
- Lab. specific questions during the exam
- Project only in case of diploma project as an alternative to questions
Teaching materials e documents
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Lesson 1 (pdf, it, 15936 KB, 3/10/14)
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Lesson 10 (pdf, it, 2827 KB, 4/10/14)
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Lesson 11 (pdf, it, 7724 KB, 4/10/14)
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Lesson 12 (pdf, it, 28447 KB, 4/17/14)
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Lesson 12.5 (pdf, it, 4064 KB, 5/10/14)
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Lesson 2 (pdf, it, 6022 KB, 3/18/14)
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Lesson 3 (pdf, it, 3119 KB, 3/18/14)
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Lesson 4 (pdf, it, 5167 KB, 3/18/14)
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Lesson 5 (pdf, it, 4011 KB, 3/22/14)
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Lesson 6 (pdf, it, 6516 KB, 3/22/14)
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Lesson 7 (pdf, it, 2127 KB, 3/31/14)
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Lesson 8 (pdf, it, 4960 KB, 3/31/14)
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Lesson 9 (pdf, it, 5631 KB, 4/5/14)