Analysis and design of similarity measures between materials based on textures and color

Starting date
May 2, 2017
Duration (months)
Computer Science, Department of Engineering for Innovation Medicine
Managers or local contacts
Cristani Marco

The project aims to explore the state of the art and to propose methods to determine the level of similarity from the perceptive point of view among different materials starting from single images. The methods will be able to exploit the information on texture and color.
The applications concern both industrial automation and content-based image retrieval.


eVS embedded Vision Systems s.r.l.
Funds: assigned and managed by the department
Syllabus: ART66 - Attività Commerciale

Project participants

Marco Cristani
Full Professor
Research areas involved in the project
Sistemi intelligenti
Artificial intelligence