dc.contributor.advisor |
Vascon, Sebastiano |
it_IT |
dc.contributor.author |
Bernardi, Riccardo <1997> |
it_IT |
dc.date.accessioned |
2021-04-12 |
it_IT |
dc.date.accessioned |
2021-07-21T08:05:21Z |
|
dc.date.available |
2021-07-21T08:05:21Z |
|
dc.date.issued |
2021-04-27 |
it_IT |
dc.identifier.uri |
http://hdl.handle.net/10579/19382 |
|
dc.description.abstract |
We are going to explore the current state of art in the field of interactive image segmentation and to produce an improvement. This topic is of interest because it can be applied, for example, to the extraction of sub-images of cancer's cells in a much larger image. Methods used to solve this problem belong to computer vision, from the deep learning field and from Optimization and Dynamical Systems. |
it_IT |
dc.language.iso |
en |
it_IT |
dc.publisher |
Università Ca' Foscari Venezia |
it_IT |
dc.rights |
© Riccardo Bernardi, 2021 |
it_IT |
dc.title |
Interactive Image Segmentation using Graph Transduction Games |
it_IT |
dc.title.alternative |
Interactive Image Segmentation using Graph Transduction Games |
it_IT |
dc.type |
Master's Degree Thesis |
it_IT |
dc.degree.name |
Informatica - computer science |
it_IT |
dc.degree.level |
Laurea magistrale |
it_IT |
dc.degree.grantor |
Dipartimento di Scienze Ambientali, Informatica e Statistica |
it_IT |
dc.description.academicyear |
2019-2020, sessione straordinaria LM |
it_IT |
dc.rights.accessrights |
openAccess |
it_IT |
dc.thesis.matricno |
864018 |
it_IT |
dc.subject.miur |
INF/01 INFORMATICA |
it_IT |
dc.description.note |
|
it_IT |
dc.degree.discipline |
|
it_IT |
dc.contributor.co-advisor |
|
it_IT |
dc.date.embargoend |
|
it_IT |
dc.provenance.upload |
Riccardo Bernardi (864018@stud.unive.it), 2021-04-12 |
it_IT |
dc.provenance.plagiarycheck |
Sebastiano Vascon (sebastiano.vascon@unive.it), 2021-04-26 |
it_IT |