Level of Education
5 years of post-secondary education
ECTS
4 credits
Training Structure
College of Sciences
Number of hours
24h
Description
This course is an introductory course with no prerequisites on scientific image processing, in the context of both physics and the medical sciences.
Starting with the fundamentals of digital image coding, we will introduce the main techniques aimed first at improving image quality and then at extracting quantitative data from images. The course will cover deconvolution, noise reduction, thresholding, segmentation, Fourier transforms, and wavelets.
We will conclude by discussing the specific challenges posed by image sequences (films) or 3D images, such as MRI data in a medical context.
The tool used will be the MATLAB/Octave programming environment.
Objectives
This course aims to provide students with a basic understanding of image processing and analysis, enabling them to independently address the specialized problems they will encounter in various experimental contexts.
Mandatory Prerequisites
Recommended prerequisites:
MATLAB/Octave Programming.
Knowledge Assessment
Final Exam on the Computer
Course Outline
- Introduction to OCTAVE/MATLAB
- Basic Image Processing Tools
- Deconvolution, noise reduction, preprocessing
- Fourier and Wavelets
- Advanced Segmentation
- Correlations, registration, 3D data
- MRI and Spatial Statistics Tools