- Docente: Raffaele Cappelli
- Credits: 6
- SSD: ING-INF/05
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Cesena
- Corso: First cycle degree programme (L) in Computer Science and Engineering (cod. 8615)
Learning outcomes
At the end of the course, the student has got the basic knowledge on the main algorithms and techniques for digital image processing.
Course contents
- Introduction to digital images
- Color models
- Basic transformations: pixelwise, local, and global
- Digital filters and convolution
- Edge extraction and segmentation
- Digital topology and mathematical morphology
Readings/Bibliography
R. C. Gonzalez e R. E. Woods, Digital image processing, 3rd Edition, Prentice Hall, 2008.
Teaching methods
- Lectures
- Guided exercises at the PC
Assessment methods
Learning results are assessed through a written test of 90 minutes, during which it is not allowed to use books, notes, or any electronic device. The examination aims to assess the achievement of the following learning objectives: 1) detailed knowledge of the image processing algorithms discussed during the course; 2) ability to implement such algorithms and apply them in software programs; 3) understanding of the main functionalities of the class library used during the lab exercises. To this end, the written test contains both theoretical questions and practical exercises, which ask the student to implement algorithms or portions of algorithms of image processing in C #, exploiting also some functionalities of the class library used during the lab exercises.
Teaching tools
- Lecture notes (Available here)
- C# classes to be used in the lab exercises
Office hours
See the website of Raffaele Cappelli