- Docente: Renato Campanini
- Credits: 6
- SSD: FIS/07
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Physics (cod. 8025)
Learning outcomes
To learn and apply methods for image analysis: fundamental steps in digital image analysis,digital image fundamentals,spatial filtering,filtering in frequency domain,multiresolution ,image segmentation,object detection and recognition.
Course contents
Introduction to image analysis.Image analysis in science and in technological applications.Images sources.Image aquisition.Image elaboration in spatial domain.Image elaboration in frequency domain.Multiresolution analysis.wavelet.Image segmentation.Object detection and classification in images. Introduction to deep learning and its application in Image Analysis.
Readings/Bibliography
Digital Image processing,Gonzalez et al,4th ed,Pearson ,2017.
Teaching methods
Lectures and computer sessions,2nd semester,Physics Department,Viale Berti Pichat 6/2,Bologna
Assessment methods
The student can choice between two midterms written assessment and a final total written assessment.The student will present a computer program on items related to the course.
Teaching tools
1) A google site with support material for exam and computer program preparation:
http://sites.google.com/site/uniboimage/
2) You can find on youtube videos from "Digital Image Analysis" course by prof. Guillermo Sapiro at:
https://www.youtube.com/playlist?list=PLIUoqCcJd2BjZxdnlyQNnpnF4NmPn_jOy
from www.coursera.org
Office hours
See the website of Renato Campanini