Level-set image processing methods in medical image segmentation
Artykuł w czasopiśmie
MNiSW
8
Lista B
| Status: | |
| Autorzy: | Maciejewski Marcin, Surtel Wojciech, Maciejewska Barbara, Małecka-Massalska Teresa |
| Rok wydania: | 2015 |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Arkusze wydawnicze: | 5 |
| Język: | polski |
| Numer czasopisma: | 1 |
| Wolumen/Tom: | 11 |
| Strony: | 47 - 51 |
| Web of Science® Times Cited: | 6 |
| Scopus® Cytowania: | 12 |
| Bazy: | Web of Science | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| In this paper, two image processing methods for use in medical image processing based on the level set method are described. The theoretical bases are described and the methods are applied to a set of sample computed tomography images. The results are then compared. The results indicate that the Chan-Vese method is more useful for image segmentation in medicine than the distance-regulated method owing to both the significant differences in calculation time and the quality of results obtained for noisy images. |
