Sub-pixel image processing
Explore ways (and applications) of linking continuous and discrete image models: How to translate a continuous image processing model into a discrete numerical algorithm? Conversely, how to extract geometric informations from a discrete array of pixels? Presentation : here
Introduction à l’imagerie numérique
Le premier objectif de ce cours est de familiariser les étudiants avec les images numériques. En particulier, le cours présentera les grands principes de la formation et de l’acquisition des images numériques (capteurs, échantillonnage, quantification, dynamique, bruit) et les éléments
Medical image analysis based on generative, geometric and biophysical models
The course is an introduction to medical image anlaysis, in particular registration and segmentation. It is complemented by a course at the second semester detailing some advanced techniques in statistical and mechnaical modeling for computational anatomy and physiology.
Topological data analysis for imaging and machine learning.
Topological Data Analysis [1, 2, 3, 4, 5, 6] is a sound family of techniques that is gaining an increasing importance for the interactive analysis and visualization of data in imaging and machine learning applications. Given the increasing complexity and
Detection theory and industrial applications
Our team at the Borelli Center is regularly confronted with industrial problems whose ultimate goal is the detection of objects or events in images or image series. The topic of classification and deep learning is widely discussed in several MVA