Pregled bibliografske jedinice broj: 1013093
Similarity between random sets consisting of many components
Similarity between random sets consisting of many components // Image analysis & stereology, 38 (2019), 2; 185-199 doi:10.5566/ias.2017 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1013093 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Similarity between random sets consisting of many components
Autori
Gotovac, Vesna
Izvornik
Image analysis & stereology (1580-3139) 38
(2019), 2;
185-199
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
kernel test ; non-parametric statistics ; random tessellation ; similarity measure
Sažetak
Random sets play an essential role in modelling several phenomena in biology, medicine and material science.However, sometimes it is hard to describe them using a specific model. Therefore it can also be difficult toclassify them or to compare their realisations. This contribution proposes a similarity measure between tworandom sets whose realisations consist of many components based on just one realisation of each of them. Thesimilarity measure is obtained in a non-parametric way taking into account the shapes and the positions of thecomponents. The procedure is justified by a simulation study and consequently applied to real biomedical dataof histological images of mammary tissue.
Izvorni jezik
Engleski
Znanstvena područja
Matematika
POVEZANOST RADA
Ustanove:
Prirodoslovno-matematički fakultet, Split
Profili:
Vesna Gotovac Đogaš
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
