Course Unit Page
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Teacher Nico Lanconelli
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Credits 6
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SSD FIS/07
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Teaching Mode Traditional lectures
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Language English
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Campus of Bologna
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Degree Programme Second cycle degree programme (LM) in Physics (cod. 9245)
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Course Timetable from Sep 22, 2021 to Dec 22, 2021
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.

Academic Year 2021/2022
Learning outcomes
At the end of the course the student will be able to: - describe the basic issues and the principal applications of image processing; - demonstrate a good understanding of the current state-of-the-art image processing methods; - identify, demonstrate and apply his/her knowledge by analyzing image processing problems and recognizing and employing (or proposing) effective solutions; - design and create practical solutions to a range of common image processing problems. The student will also get the basic knowledge on the main algorithms for: - filtering in the spatial and frequency domain; - image segmentation; - object detection and recognition.
Course contents
- Visual perception
- Image formation: geometry and radiometry
- From analog to digital images
- Digital image chain: acquisition, visualization, and processing
- Image processing:
- Geometric operations
- Point operations
- Local operations
- Image segmentation
- Fourier analysis
- Image segmentation
- Feature extraction
- Lab sessions with ImageJ
Readings/Bibliography
–Gonzalez R., Woods R.: “Digital Image Processing”, Third Edition, Pearson Prentice-Hall, 2002
Teaching methods
Lectures, lab practice.
Assessment methods
In the last weeks of the classe students will tackle a real-word problem (compulsory):
- Group project (small groups: 4/5 people)
- Reading scientific paper
- Finding material (bibliography, images, …)
- Understanding and implementation of some algorithms
- Presentation (both written report and oral presentation) of the project and its outcomes
Final examination: discussion of the group project and oral interview.
Teaching tools
Software for image processing: ImageJ.
Office hours
See the website of Nico Lanconelli