Pregled bibliografske jedinice broj: 1055773
Assessing Similarity of Random sets via Skeletons
Assessing Similarity of Random sets via Skeletons // Methodology and computing in applied probability, 23 (2021), 2; 471-490 doi:10.1007/s11009-020-09785-y (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1055773 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Assessing Similarity of Random sets via Skeletons
Autori
Debayle, Johan ; Ðogaš, Vesna Gotovac ; Helisová, Kateřina ; Staněk, Jakub ; Zikmundová, Markéta
Izvornik
Methodology and computing in applied probability (1387-5841) 23
(2021), 2;
471-490
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Morphological skeleton ; Random set ; Similarity
Sažetak
The paper concerns a method for assessing similarity of realisations of random sets based on a construction of their morphological skeletons and a consequent covering of the realisations by unions of the so-called maximal discs. Since the realisations are considered to be binary images, the skeletons together with the corresponding discs can be viewed as realisations of marked point processes with specific properties. A special function for such marked point processes is defined. This function is analogous to the mark-weighted K-function. The function is then used for comparison of given realisations. More precisely, a random sample of the functions is taken from the realisations and the equality in distribution of the functions is tested by an envelope test and by a kernel test. The described procedure is illustrated on a simulation study with the aim to distinguish between realisations coming from different processes and to determine similarity of realisations coming from the same processes.
Izvorni jezik
Engleski
Znanstvena područja
Matematika
POVEZANOST RADA
Ustanove:
Prirodoslovno-matematički fakultet, Split
Profili:
Vesna Gotovac Đogaš
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus